piwik-script

English Intern
Institut für Geographie und Geologie

Publikationen

2022[ to top ]
  • Sogno, P.; Klein, I.; Kuenzer, C. (2022): Remote Sensing of Surface Water Dynamics in the Context of Global Change{\textemdash}A Review. In: Remote Sensing, 14 (10), 2475.
  • Kleemann, J.; Zamora, C.; Villacis-Chiluisa, A. B.; Cuenca, P.; Koo, H.; Noh, J. K.; Fürst, C.; Thiel, M. (2022): Deforestation in Continental Ecuador with a Focus on Protected Areas. In: Land, 11 (268), 26.
  • Lappe, R.; Ullmann, T.; Bachofer, F. (2022): State of the Vietnamese Coast{\textemdash}Assessing Three Decades (1986 to 2021) of Coastline Dynamics Using the Landsat Archive. In: Remote Sensing, 14 (10), 2476.
  • Asam, S.; Gessner, U.; Almengor González, R.; Wenzl, M.; Kriese, J.; Kuenzer, C. (2022): Mapping Crop Types of Germany by Combining Temporal Statistical Metrics of Sentinel-1 and Sentinel-2 Time Series with LPIS Data. In: Remote Sensing, 14 (2981)
  • Uereyen, S.; Bachofer, F.; Klein, I.; Kuenzer, C. (2022): Multi-faceted analyses of seasonal trends and drivers of land surface variables in Indo-Gangetic river basins. In: Science of The Total Environment, 847, 157515.
  • Wang, Z.; Bachofer, F.; Koehler, J.; Huth, J.; Hoeser, T.; Marconcini, M.; Esch, T.; Kuenzer, C. (2022): Spatial Modelling and Prediction with the Spatio-Temporal Matrix: A Study on Predicting Future Settlement Growth. In: Land, 11 (8)
  • Philipp, M.; Dietz, A.; Ullmann, T.; Kuenzer, C. (2022): Automated Extraction of Annual Erosion Rates for Arctic Permafrost Coasts Using Sentinel-1, Deep Learning, and Change Vector Analysis. In: Remote Sensing, 14 (15), 3656.
  • Koehler, J.; Bauer, A.; Dietz, A. J.; Kuenzer, C. (2022): Towards Forecasting Future Snow Cover Dynamics in the European Alps{\textemdash}The Potential of Long Optical Remote-Sensing Time Series. In: Remote Sensing, 14 (18), 4461.
  • Lenoir, J.; Rocchini, D.; Santos, M. J.; Ustin, S. L.; Féret, J.; Asner, G. P.; Beierkuhnlein, C.; Dalponte, M.; Feilhauer, H.; Foody, G. M.; Geller, G. N.; Gillespie, T. W.; He, K. S.; Kleijn, D.; Leitão, P. J.; Malavasi, M.; Moudrý, V.; Müllerová, J.; Nagendra, H.; Normand, S.; Ricotta, C.; Schaepman, M. E.; Schmidtlein, S.; Skidmore, A. K.; Šímová, P.; Torresani, M.; Townsend, P. A.; Turner, W.; Vihervaara, P.; Wegmann, M.; Lenoir, J. (2022): The Spectral Species Concept in Living Color. In: Journal of Geophysical Research: Biogeosciences, 127 (9)
  • L, R.; F, L.; T, R.; H, T.; M, F.; L, G.; M, W.; H, B.; C, K. (2022): New paper published on Data-driven prediction of COVID-19 cases in Germany in the journal BMC Medical Research Methodology. In: BMC Medical Research Methodology., 22 (116)
  • Nill, L.; Grünberg, I.; Ullmann, T.; Gessner, M.; Boike, J.; Hostert, P. (2022): Arctic shrub expansion revealed by Landsat-derived multitemporal vegetation cover fractions in the Western Canadian Arctic. In: Remote Sensing of Environment, 281, 113228.
  • Sapena, M.; Kühnl, M.; Wurm, M.; Patino, J. E.; Duque, J. C.; Taubenböck, H. (2022): Empiric recommendations for population disaggregation under different data scenarios. In: Plos one, 17 (9), 1-29.
  • Ha, T. V.; Huth, J.; Bachofer, F.; Kuenzer, C. (2022): A Review of Earth Observation-Based Drought Studies in Southeast Asia. In: Remote Sensing, 14 (15), 3763.
  • Halbgewachs, M.; Wegmann, M.; da Ponte, E. (2022): A Spectral Mixture Analysis and Landscape Metrics Based Framework for Monitoring Spatiotemporal Forest Cover Changes: A Case Study in Mato Grosso, Brazil. In: Remote Sensing, 14 (8)
  • Fisser, H.; Khorsandi, E.; Wegmann, M.; Baier, F. (2022): Detecting Moving Trucks on Roads Using Sentinel-2 Data. In: Remote Sensing, 14 (7), 1595.
  • Shi, L.; Wurm, M.; Huang, X.; Zhong, T.; Leichtle, T.; Taubenböck, H. (2022): Estimating housing vacancy rates at block level: The example of Guiyang, China. In: Landscape and Urban Planning, 224, 104431.
  • Reinermann, S.; Gessner, U.; Asam, S.; Ullmann, T.; Schucknecht, A.; Kuenzer, C. (2022): Detection of Grassland Mowing Events for Germany by Combining Sentinel-1 and Sentinel-2 Time Series. In: Remote Sensing, 14 (7), 1647.
  • Jetz, W.; Tertitski, G.; Kays, R.; Mueller, U.; Wikelski, M.; Åkesson, S.; Anisimov, Y.; Antonov, A.; Arnold, W.; Bairlein, F.; Baltà, O.; Baum, D.; Beck, M.; Belonovich, O.; Belyaev, M.; Berger, M.; Berthold, P.; Bittner, S.; Blake, S.; Block, B.; Bloche, D.; Boehning-Gaese, K.; Bohrer, G.; Bojarinova, J.; Bommas, G.; Bourski, O.; Bragin, A.; Bragin, A.; Bristol, R.; Brlík, V.; Bulyuk, V.; Cagnacci, F.; Carlson, B.; Chapple, T. K.; Chefira, K. F.; Cheng, Y.; Chernetsov, N.; Cierlik, G.; Christiansen, S. S.; Clarabuch, O.; Cochran, W.; Cornelius, J. M.; Couzin, I.; Crofoot, M. C.; Cruz, S.; Davydov, A.; Davidson, S.; Dech, S.; Dechmann, D.; Demidova, E.; Dettmann, J.; Dittmar, S.; Dorofeev, D.; Drenckhahn, D.; Dubyanskiy, V.; Egorov, N.; Ehnbom, S.; Ellis-Soto, D.; Ewald, R.; Feare, C.; Fefelov, I.; Fehérvári, P.; Fiedler, W.; Flack, A.; Froböse, M.; Fufachev, I.; Futoran, P.; Gabyshev, V.; Gagliardo, A.; Garthe, S.; Gashkov, S.; Gibson, L.; Goymann, W.; Gruppe, G.; Guglielmo, C.; Hartl, P.; Hedenström, A.; Hegemann, A.; Heine, G.; Ruiz, M. H.; Hofer, H.; Huber, F.; Iannarilli, F.; Illa, M.; Isaev, A.; Jakobsen, B.; Jenni, L.; Jenni-Eiermann, S.; Jesmer, B.; Jiguet, F.; Karimova, T.; Kasdin, N. J.; Kazansky, F.; Kirillin, R.; Klinner, T.; Knopp, A.; Kölzsch, A.; Kondratyev, A.; Krondorf, M.; Ktitorov, P.; Kulikova, O.; Kumar, R. S.; Künzer, C.; Larionov, A.; Larose, C.; Liechti, F.; Linek, N.; Lohr, A.; Lushchekina, A.; Mansfield, K.; Matantseva, M.; Markovets, M.; Marra, P.; Masello, J. F.; Melzheimer, J.; Menz, M. H.; Menzie, S.; Meshcheryagina, S.; Miquelle, D.; Morozov, V.; Mukhin, A.; Müller, I.; Mueller, T.; Navedo, J. G.; Nathan, R.; Nelson, L.; Németh, Z.; Newman, S.; Norris, R.; Okhlopkov, I.; Oleś, W.; Oliver, R.; O’Mara, T.; Palatitz, P.; Partecke, J.; Pavlick, R.; Pedenko, A.; Pham, J.; Piechowski, D.; Pierce, A.; Piersma, T.; Pitz, W.; Plettemeier, D.; Pokrovskaya, I.; Pokrovskaya, L.; Pokrovsky, I.; Pot, M.; Procházka, P.; Quillfeldt, P.; Rakhimberdiev, E.; Ramenofsky, M.; Ranipeta, A.; Rapczyński, J.; Remisiewicz, M.; Rozhnov, V.; Rienks, F.; Rozhnov, V.; Rutz, C.; Sakhvon, V.; Sapir, N.; Safi, K.; Schäuffelhut, F.; Schimel, D.; Schmidt, A.; Shamoun-Baranes, J.; Sharikov, A.; Shearer, L.; Shemyakin, E.; Sherub, S.; Shipley, R.; Sica, Y.; Smith, T. B.; Simonov, S.; Snell, K.; Sokolov, A.; Sokolov, V.; Solomina, O.; Soloviev, M.; Spina, F.; Spoelstra, K.; Storhas, M.; Sviridova, T.; Swenson, G.; Taylor, P.; Thorup, K.; Tsvey, A.; Tucker, M.; Turner, W.; {van der Jeugd}, H.; {van Schalkwyk}, L.; {van Toor}, M.; Viljoen, P.; Visser, M. E.; Volkmer, T.; Volkov, A.; Volkov, S.; Volkov, O.; {von Rönn}, J. A.; Vorneweg, B.; Wachter, B.; Waldenström, J.; Wegmann, M.; Wehr, A.; Weinzierl, R.; Weppler, J.; Wilcove, D.; Wild, T.; Williams, H. J.; Wilshire, J.; Wingfield, J.; Wunder, M.; Yachmennikova, A.; Yanco, S.; Yohannes, E.; Zeller, A.; Ziegler, C.; Zięcik, A.; Zook, C. (2022): Biological Earth observation with animal sensors. In: Trends in Ecology & Evolution, 37 (4), 293-98.
  • Rösch, M.; Plank, S. (2022): Detailed Mapping of Lava and Ash Deposits at Indonesian Volcanoes by Means of {VHR} {PlanetScope} Change Detection. In: Remote Sensing, 14 (5), 1168.
  • Thiel, M.; Botha, N.; Abu, I.-O.; Job, H. (2022): Afrikanische Schutzgebiete – Nutzungskonflikte und Gefährdungen. In: Geographische Rundschau, 3, 16-20.
  • Matabishi, J. G.; Braun, A.; Warth, G. (2022): MULTIPLE ENDMEMBER SPECTRAL MIXTURE ANALYSIS OF DESIS IMAGE TO IDENTIFY ROOFTOPS IN KIGALI. In: Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVI-1/W1-2021, 39–47.
  • Wehner, H.; Huchler, K.; Fritz, J. (2022): Quantification of Foraging Areas for the Northern Bald Ibis (Geronticus eremita) in the Northern Alpine Foothills: A Random Forest Model Fitted with Optical and Actively Sensed Earth Observation Data. In: Remote Sensing, 14 (4), 1015.
  • Uereyen, S.; Bachofer, F.; Kuenzer, C. (2022): A Framework for Multivariate Analysis of Land Surface Dynamics and Driving Variables{\textemdash}A Case Study for Indo-Gangetic River Basins. In: Remote Sensing, 14 (1), 197.
  • Thonfeld, F.; Gessner, U.; Holzwarth, S.; Kriese, J.; da Ponte, E.; Huth, J.; Kuenzer, C. (2022): A First Assessment of Canopy Cover Loss in Germany’s Forests after the 2018{\textendash}2020 Drought Years. In: Remote Sensing, 14 (3), 562.
  • Ziegler, A.; Meyer, H.; Otte, I.; Peters, M. K.; Appelhans, T.; Behler, C.; Böhning-Gaese, K.; Classen, A.; Detsch, F.; Deckert, J.; Eardley, C. D.; Ferger, S. W.; Fischer, M.; Gebert, F.; Haas, M.; Helbig-Bonitz, M.; Hemp, A.; Hemp, C.; Kakengi, V.; Mayr, A. V.; Ngereza, C.; Reudenbach, C.; Röder, J.; Rutten, G.; Costa, D. S.; Schleuning, M.; Ssymank, A.; Steffan-Dewenter, I.; Tardanico, J.; Tschapka, M.; Vollstädt, M. G. R.; Wöllauer, S.; Zhang, J.; Brandl, R.; Nauss, T. (2022): Potential of Airborne {LiDAR} Derived Vegetation Structure for the Prediction of Animal Species Richness at Mount Kilimanjaro. In: Remote Sensing, 14 (3), 786.
  • Kuenzer, C. (2022): A First Assessment of Canopy Cover Loss in Germany’s Forests after the 2018–2020 Drought Years. In: Remote Sensing
  • Standfuß, I.; Geiß, C.; Nathan, R.; Rotics, S.; Scacco, M.; Kerr, G.; Taubenböck, H. (2022): Time series enable the characterization of small-scale vegetation dynamics that influence fine-scale animal behavior – an example from white storks’ foraging behavior.. In: Remote Sensing in Ecology and Conservation
  • Klein, I.; {van der Woude}, S.; Schwarzenbacher, F.; Muratova, N.; Slagter, B.; Malakhov, D.; Oppelt, N.; Kuenzer, C. (2022): Predicting suitable breeding areas for different locust species – A multi-scale approach accounting for environmental conditions and current land cover situation. In: International Journal of Applied Earth Observation and Geoinformation, 107, 102672.
  • Sogno, P.; Klein, I.; Kuenzer, C. (2022): Remote Sensing of Surface Water Dynamics in the Context of Global Change - A Review. In: Remote Sensing, 14 (10), 2475.
2021[ to top ]
  • Ottinger, M.; Bachofer, F.; Huth, J.; Kuenzer, C. (2021): Mapping Aquaculture Ponds for the Coastal Zone of Asia with Sentinel-1 and Sentinel-2 Time Series. In: Remote Sensing, 14 (1), 153.
  • Staab, J.; Schady, A.; Weigand, M.; Lakes, T.; Taubenböck, H. (2021): Predicting traffic noise using land use regression – A scalable approach. In: Journal of Exposure Science and Environmental Epidemiology, (1-21)
  • Mayr, S.; Klein, I.; Rutzinger, M.; Kuenzer, C. (2021): Determining Temporal Uncertainty of a Global Inland Surface Water Time Series. In: Remote Sensing, 13 (17), 1-17.
  • Mayr, S.; Klein, I.; Rutzinger, M.; Kuenzer, C. (2021): Systematic Water Fraction Estimation for a Global and Daily Surface Water Time-Series. In: Remote Sensing, 13 (14), 1-21.
  • Palacios Lopez, D.; Bachofer, F.; Esch, T.; Marconcini, M.; MacManus, K.; Sorichetta, A.; Zeidler, J.; Dech, S.; Tatem, A.; Reinartz, P. (2021): High-Resolution Gridded Population Datasets: Exploring the Capabilities of the World Settlement Footprint 2019 Imperviousness Layer for the African Continent. In: Remote Sensing, 13 (6), 1-26.
  • Philipp, M.; Dietz, A.; Buchelt, S.; Kuenzer, C. (2021): Trends in Satellite Earth Observation for Permafrost Related Analyses - A Review,. In: Remote Sensing, 13 (6), 1-57.
  • Rehm, I.-S.; Friesen, J.; Pouls, K.; Busch, C.; Taubenböck, H.; Pelz, P. (2021): A Method for Modeling Urban Water Infrastructures Combining Geo-Referenced Data. In: Water, 13 (16), 1-20.
  • Hu, J.; Wang, Y.; Taubenböck, H.; Zhu, X. X. (2021): Land consumption in cities: A comparative study across the globe. In: Cities, 113 (103163_1-103163_17)
  • Reiners, P.; Asam, S.; Frey, C.; Holzwarth, S.; Bachmann, M.; Sobrino, J.; Göttsche, F.-M.; Bendix, J.; Kuenzer, C. (2021): Validation of {AVHRR} Land Surface Temperature with {MODIS} and In Situ {LST}{\textemdash}A {TIMELINE} Thematic Processor. In: Remote Sensing, 13 (17), 3473.
  • Sapena Moll, M.; Wurm, M.; Taubenböck, H.; Tuia, D.; Ruiz, L. A. (2021): Estimating quality of life dimensions from urban spatial pattern metrics. In: Environment and urban systems, 85, 1-11.
  • Staab, J.; Udas, E.; Mayer, M.; Taubenböck, H.; Job, H. (2021): Comparing established visitor monitoring approaches with triggered trail cameras images and machine learning based computer vision. In: Journal of Outdoor Recreation and Tourism, 1-15.
  • Klein, I.; Mayr, S.; Gessner, U.; Hirner, A.; Kuenzer, C. (2021): Water and hydropower reservoirs: High temporal resolution time series derived from MODIS data to characterize seasonality and variability. In: Remote Sensing of Environment, 253 (1-36)
  • Steinbach, S.; Cornish, N.; Franke, J.; Hentze, K.; Strauch, A.; Thonfeld, F.; Zwart, S. J.; Nelson, A. (2021): A New Conceptual Framework for Integrating Earth Observation in Large-scale Wetland Management in East Africa. In: Wetlands, 41 (7), 1-21.
  • Stiller, D.; Wurm, M.; Stark, T.; Angelo, P.; Stebner, K.; Dech, S.; Taubenböck, H. (2021): Spatial parameters for transportation: A multi-modal approach for modelling the urban spatial structure using deep learning and remote sensing. In: Journal of Transport and Land Use, 14 (1), 777-803.
  • Huber, M.; Osterkamp, N.; Marschalk, U.; Tubbesing, R.; Wendleder, A.; Wessel, B.; Roth, A. (2021): Shaping the Global High-Resolution TanDEM-X Digital Elevation Model. In: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 14 (7198-7212)
  • Riyas, M. J.; Syed, T. H.; Kumar, H.; Kuenzer, C. (2021): Detecting and Analyzing the Evolution of Subsidence Due to Coal Fires in Jharia Coalfield, India Using Sentinel-1 SAR Data. In: Remote Sensing, 13 (1521), 1-22.
  • Hosseini, M.; McNairn, H.; Mitchell, S.; Dingle Robertson, L.; Davidson, A.; Ahmadian, N.; Bhattacharya, A.; Borg, E.; Conrad, C.; Dabrowska-Zielinska, K.; de Abelleyra, D.; Gurdak, R.; Kumar, V.; Kussul, N.; Mandal, D.; Rao, Y. S.; Saliendra, N.; Shelestov, A.; Spengler, D.; Verón, S. R.; Homayouni, S.; Becker-Reshef, I. (2021): A Comparison between Support Vector Machine and Water Cloud Model for Estimating Crop Leaf Area Index. In: Remote Sensing, 13 (1348), 1-20.
  • Baumhoer, C.; Dietz, A.; Kneisel, C.; Paeth, H.; Künzer, C. (2021): Environmental drivers of circum-Antarctic glacier and ice shelf front retreat over the last two decades,. In: The Cryosphere, 15, 2357-81.
  • Dirscherl, M.; Dietz, A.; Kneisel, C.; Kuenzer, C. (2021): A Novel Method for Automated Supraglacial Lake Mapping in Antarctica Using Sentinel-1 SAR Imagery and Deep Learning,. In: Remote Sensing, 13 (2), 1-27.
  • Pertiwi, A. P.; Roth, A.; Schaffhauser, T.; Bhola, P. K.; Reu{\ss}, F.; Stettner, S.; Kuenzer, C.; Disse, M. (2021): Monitoring the Spring Flood in Lena Delta with Hydrodynamic Modeling Based on {SAR} Satellite Products. In: Remote Sensing, 13 (22), 4695.
  • Dirscherl, M.; Dietz, A. J.; Kneisel, C.; Kuenzer, C. (2021): A Novel Method for Automated Supraglacial Lake Mapping in Antarctica Using Sentinel-1 {SAR} Imagery and Deep Learning. In: Remote Sensing, 13 (2), 197.
  • Klein, I.; Oppelt, N.; Kuenzer, C. (2021): Application of Remote Sensing Data for Locust Research and Management - A Review. In: Insects, 12 (3), 1-16.
  • Rauch, S.; Taubenböck, H.; Knopp, C.; Rauh, J. (2021): Risk and space: modelling the accessibility of stroke centers using day- & nighttime population distribution and different transportation scenarios. In: International Journal of Health Geographics, 20 (32), 1-15.
  • Wurm, M.; Droin, A.; Stark, T.; Geiß, C.; Sulzer, W.; Taubenböck, H. (2021): Deep Learning-Based Generation of Building Stock Data from Remote Sensing for Urban Heat Demand Modeling. In: ISPRS Journal of Photogrammetry and Remote Sensing, 10 (23), 1-20.
  • Skidmore, A. K.; Coops, N. C.; Elnaz, N.; Abebe, A.; Schaepman, M. E.; Paganini, M.; Kissling, W. D.; Petteri, V.; Darvishzadeh, R.; Feilhauer, H.; Miguel, F.; Néstor, F.; Gorelick, N.; Geizendorffer, I.; Heiden, U.; Heurich, M.; Hobern, D.; Holzwarth, S.; Muller-Karger, F. E.; Van De Kerchove, R.; Lausch, A.; Leitãu, P. J.; Lock, M. C.; Mücher, C. A.; O’Connor, B.; Rocchini, D.; Turner, W.; Kees, J.; Wang, T.; Wegmann, M.; Wingate, V. (2021): Priority list of biodiversity metrics to observe from space. In: Nature Ecology and Evolution
  • {Aravena Pelizari}, P.; Geiß, C.; Aguirre, P.; {Santa María}, H.; {Merino Peña}, Y.; Taubenböck, H. (2021): Automated building characterization for seismic risk assessment using street-level imagery and deep learning. In: ISPRS Journal of Photogrammetry and Remote Sensing, 180, 370-86.
  • Rieser, J.; Veste, M.; Thiel, M.; Schönbrodt‐Stitt, S. (2021): Coverage and Rainfall Response of Biological Soil Crusts Using Multi‐Temporal Sentinel‐2 Data in a Central European Temperate Dry Acid Grassland. In: Remote Sensing, 13 (3093), 26.
  • Rocchini, D.; Salvatori, N.; Beierkuhnlein, C.; Chiarucci, A.; {de Boissieu}, F.; Förster, M.; Garzon-Lopez, C. X.; Gillespie, T. W.; Hauffe, H. C.; He, K. S.; Kleinschmit, B.; Lenoir, J.; Malavasi, M.; Moudrý, V.; Nagendra, H.; Payne, D.; Šímová, P.; Torresani, M.; Wegmann, M.; Féret, J.-B. (2021): From local spectral species to global spectral communities: A benchmark for ecosystem diversity estimate by remote sensing. In: Ecological Informatics, 61, 101195.
  • Taubenböck, H.; Reiter, M.; Dosch, F.; Leichtle, T.; Weigand, M.; Wurm, M. (2021): Which city is the greenest? A multi-dimensional deconstruction of city rankings. In: Computers, Environment and Urban Systems, 89, 101687.
  • Kirchner, A.; Schmitt, M.; Pollinger, F.; Thiel, M.; Paeth, H. (2021): Relationship between soil sealing and local to regional climate in Germany. In: Meteorologische Zeitschrift, 10.
  • Abu, I.-O.; Szantoi, Z.; Brink, A.; Robuchon, M.; Thiel, M. (2021): Detecting cocoa plantations in Côte d’Ivoire and Ghana and their implications on protected areas. In: Ecological Indicators, 129, 13.
  • Schönbrodt-Stitt, S.; Ahmadian, N.; Kurtenbach, M.; Conrad, C.; Romano, N.; Bogena, H. R.; Vereecken, H.; Nasta, P. (2021): Statistical exploration of Sentinel-1 data, terrain parameters and in-situ data for estimating the near-surface soil moisture in a Mediterranean agroecosystem. In: Frontiers in Water
  • Jucker, T.; Amano, T.; Bell, A.; Geffert, J. L.; Guth, M. K.; Hacket-Pain, A.; Luke, S. H.; Mumby, H. S.; Nunes, M.; Rademacher, T.; Rose, D. C.; Schleicher, J.; Simmons, B. I.; Zabala, A.; Mukherjee, N. (2021): Steps to diversify priority-setting research in conservation: Reflections on de Gracia 2021. In: Conservation Biology, 3.
  • Philipp, M.; Wegmann, M.; Kübert-Flock, C. (2021): Quantifying the Response of German Forests to Drought Events via Satellite Imagery. In: Remote Sensing, 13 (9), 1845.
  • Dech, S.; Holzwarth, S.; Asam, S.; Andresen, T.; Bachmann, M.; Boettcher, M.; Dietz, A.; Eisfelder, C.; Frey, C.; Gesell, G.; Gessner, U.; Hirner, A.; Hofmann, M.; Kirches, G.; Klein, D.; Klein, I.; Kraus, T.; Krause, D.; Plank, S.; Popp, T.; Reinermann, S.; Reiners, P.; Roessler, S.; Ruppert, T.; Scherbachenko, A.; Vignesh, R.; Wolfmueller, M.; Zwenzner, H.; Kuenzer, C. (2021): Potential and Challenges of Harmonizing 40 Years of {AVHRR} Data: The {TIMELINE} Experience. In: Remote Sensing, 13 (18), 3618.
  • Meyer, C.; Peters, J. C.; Thiel, M.; Rathmann, J.; Job, H. (2021): Monitoring von Freiflächeninanspruchnahme und -versiegelung für eine nachhaltige Raumentwicklung in Bayern. In: Raumforschung und Raumordnung - Spatial Research and Planning, 29.
  • Rocchini, D.; Thouverai, E.; Marcantonio, M.; Iannacito, M.; Re, D. D.; Torresani, M.; Bacaro, G.; Bazzichetto, M.; Bernardi, A.; Foody, G. M.; Furrer, R.; Kleijn, D.; Larsen, S.; Lenoir, J.; Malavasi, M.; Marchetto, E.; Messori, F.; Montaghi, A.; Moudr´y, V.; Naimi, B.; Ricotta, C.; Rossini, M.; Santi, F.; Santos, M. J.; Schaepman, M.; Schneider, F. D.; Schuh, L.; Silvestri, S.; S´ımov´a, P.; Skidmore, A. K.; Tattoni, C.; Tordoni, E.; Vicario, S.; Zannini, Z.; Wegmann, M. (2021): rasterdiv - an Information Theory tailored R package for measuring ecosystem heterogeneity from space: to the origin and back. In: Methods in Ecology and Evolution
  • Philipp, M.; Dietz, A.; Buchelt, S.; Kuenzer, C. (2021): Trends in Satellite Earth Observation for Permafrost Related Analyses - A Review. In: Remote Sensing, 13 (6), 1217.
  • Richard, K.; Abdel-Rahman, E.; Subramanian, S.; Nyasani, J. O.; Thiel, M.; Jozani, H. J.; Borgemeister, C.; Mudereri, B. T.; Landmann, T. (2021): Estimating maize lethal necrosis (MLN) severity in Kenya using multispectral high-resolution data. In: Applied Geomatics
  • Tonne, C.; Adair, L.; Adlakha, D.; Anguelovski, I.; Belesova, K.; Berger, M.; Brelsford, C.; Dadvand, P.; Dimitrova, A.; Giles-Corti, B.; Heinz, A.; Mehran, N.; Nieuwenhuijsen, M.; Pelletier, F.; Ranzani, O.; Rodenstein, M.; Rybski, D.; Samavati, S.; Satterthwaite, D.; Schöndorf, J.; Schreckenberg, D.; Stollmann, J.; Taubenböck, H.; Tiwari, G.; {van Wee}, B.; Adli, M. (2021): Defining pathways to healthy sustainable urban development. In: Environment International, 146, 106236.
  • Khare, S.; Latifi, H.; Rossi, S. (2021): A 15-year spatio-temporal analysis of plant β-diversity using Landsat time series derived Rao’s Q index. In: Ecological Indicators, 121, 107105.
  • Klein, I.; Mayr, S.; Gessner, U.; Hirner, A.; Kuenzer, C. (2021): Water and hydropower reservoirs: High temporal resolution time series derived from MODIS data to characterize seasonality and variability. In: Remote Sensing of Environment, 253, 112207.
  • Shafeian, E.; Fassnacht, F. E.; Latifi, H. (2021): Mapping fractional woody cover in an extensive semi-arid woodland area at different spatial grains with Sentinel-2 and very high-resolution data. In: International Journal of Applied Earth Observation and Geoinformation, 105, 102621.
  • Vogeler, A.-V. B.; Otte, I.; Ferger, S.; Helbig-Bonitz, M.; Hemp, A.; Nauss, T.; Böhning-Gaese, K.; Schleuning, M.; Tschapka, M.; Albrecht, J. (2021): Associations of bird and bat species richness with temperature and remote sensing-based vegetation structure on a tropical mountain. In: Biotropica
  • Klein, I.; Oppelt, N.; Kuenzer, C. (2021): Application of Remote Sensing Data for Locust Research and Management{\textemdash}A Review. In: Insects, 12 (3), 233.
2020[ to top ]
  • Weigand, M.; Staab, J.; Wurm, M.; Taubenböck, H. (2020): Spatial and semantic effects of LUCAS samples on fully automated land use/land cover classification in high-resolution Sentinel-2 data. In: International Journal of Applied Earth Observation and Geoinformation, 88, 102065.
  • Hoeser, T.; Bachofer, F.; Kuenzer, C. (2020): Object Detection and Image Segmentation with Deep Learning on Earth Observation Data: A Review{\textemdash}Part {II}: Applications. In: Remote Sensing, 12 (18), 3053.
  • Schumacher, B.; Katurji, M.; Meyer, H.; Appelhans, T.; Otte, I.; Nauss, T. (2020): Atmospheric moisture pathways of East Africa and implications for water recycling at Mount Kilimanjaro. In: International Journal of Climatology, 40 (10), 4477-96.
  • Kuenzer, C.; Heimhuber, V.; Day, J.; Varis, O.; Bucx, T.; Renaud, F.; Gaohuan, L.; Tuan, V. Q.; Schlurmann, T.; Glamore, W. (2020): Profiling resilience and adaptation in mega deltas: A comparative assessment of the Mekong, Yellow, Yangtze, and Rhine deltas. In: Ocean & Coastal Management, 198, 105362.
  • Höser, T.; Bachofer, F.; Künzer, C. (2020): An Introduction to Deep Learning with CNNs Applied on Earth Observation Data
  • Newton, A.; Icely, J.; Cristina, S.; Perillo, G. M. E.; Turner, R. E.; Ashan, D.; Cragg, S.; Luo, Y.; Tu, C.; Li, Y.; Zhang, H.; Ramesh, R.; Forbes, D. L.; Solidoro, C.; B{\’{e}}jaoui, B.; Gao, S.; Pastres, R.; Kelsey, H.; Taillie, D.; Nhan, N.; Brito, A. C.; de Lima, R.; Kuenzer, C. (2020): Anthropogenic, Direct Pressures on Coastal Wetlands. In: Frontiers in Ecology and Evolution, 8, 1-29.
  • Dirscherl, M.; Dietz, A. J.; Dech, S.; Kuenzer, C. (2020): Remote sensing of ice motion in Antarctica – A review. In: Remote Sensing of Environment, 237, 111595.
  • Huth, J.; Gessner, U.; Klein, I.; Yesou, H.; Lai, X.; Oppelt, N.; Kuenzer, C. (2020): Analyzing Water Dynamics Based on Sentinel-1 Time Series{\textemdash}a Study for Dongting Lake Wetlands in China. In: Remote Sensing, 12 (11), 1761.
  • Jozani, H. J.; Thiel, M.; Abdel-Rahman, E. M.; Richard, K.; Landmann, T.; Subramanian, S.; Hahn, M. (2020): Investigation of Maize Lethal Necrosis (MLN) severity and cropping systems mapping in agro-ecological maize systems in Bomet, Kenya utilizing RapidEye and Landsat-8 Imagery. In: Geology, Ecology, and Landscapes, 16.
  • Koehler, J.; Kuenzer, C. (2020): Forecasting Spatio-Temporal Dynamics on the Land Surface Using Earth Observation Data{\textemdash}A Review. In: Remote Sensing, 12 (21), 3513.
  • Lemma, B.; Kebede, S.; Nemomissa, S.; Otte, I.; Glaser, B.; Zech, M. (2020): Spatial and temporal ²H and 18O isotope variation of contemporary precipitation in the Bale Mountains, Ethiopia. In: Isotopes in Environmental & Health Studies, 56, 122-35.
  • Hosseini, Z.; Latifi, H.; Naghavi, H.; Bakhtiarvand Bakhtiari, S.; Fassnacht, F. E. (2020): Influence of plot and sample sizes on aboveground biomass estimations in plantation forests using very high resolution stereo satellite imagery. In: Forestry: An International Journal of Forest Research.
  • Ottinger, M.; Kuenzer, C. (2020): Spaceborne L-Band Synthetic Aperture Radar Data for Geoscientific Analyses in Coastal Land Applications: A Review. In: Remote Sensing, 12 (14), 2228.
  • Esch, T.; Zeidler, J.; Palacios Lopez, D.; Marconcini, M.; Roth, A.; Mönks, M.; Leutner, B.; Brzoska, E.; Met; Marconcini, A.; Bachofer, F.; Loekken, S.; Dech, S. (2020): Large-scale 3D Modelling of the Built Environment - Joint Analysis of TanDEM-X. In: Remote Sensing, 12 (15), 1-21.
  • Dirscherl, M.; Dietz, A. J.; Kneisel, C.; Kuenzer, C. (2020): Automated Mapping of Antarctic Supraglacial Lakes Using a Machine Learning Approach. In: Remote Sensing, 12 (7), 1203.
  • Standfuß, I.; Geiß, C.; Kühnl, M.; Wurm, M.; Siedentop, S.; Heider, B.; Taubenböck, H. (2020): Deriving urban mass concentrations using TanDEM-X and Sentinel-2 data for the assessment of morphological polycentricity. In: IEEE International Geoscience and Remote Sensing Sysposium 2020Seiten, 4219-22.
  • Ottinger, M.; Künzer, C. (2020): Spaceborne L-Band Synthetic Aperture Radar Data for Geoscientific Analyses in Coastal Land Applications: A Review,. In: Remote Sensing, 12 (14), 1-37.
  • Mast, J.; Wei, C.; Wurm, M. (2020): Mapping urban villages using fully convolutional neural networks. In: Remote Sensing Letters, 11 (7), 630-39.
  • Hu, Z.; Dietz, A.; Zhao, A.; Uereyen, S.; Zhang, H.; Wang, M.; Mederer, P.; Kuenzer, C. (2020): Snow moving to higher elevations: Analyzing three decades of snowline dynamics in the Alps. In: Geophysical Research Letters, 47 (1-11)
  • Hoeser, T.; Kuenzer, C. (2020): Object Detection and Image Segmentation with Deep Learning on Earth Observation Data: A Review-Part I: Evolution and Recent Trends. In: Remote Sensing, 12 (10), 1-43.
  • Hoeser, T.; Bachofer, F.; Kuenzer, C. (2020): Object Detection and Image Segmentation with Deep Learning on Earth Observation Data: A Review-Part II: Applications. In: Remote. Sens., 12 (18), 3053.
  • Muro, J.; Varea, A.; Strauch, A.; Guelmami, A.; Fitoka, E.; Thonfeld, F.; Diekkrüger, B.; Waske, B. (2020): Multitemporal optical and radar metrics for wetland mapping at national level in Albania. In: Heliyon, 6 (8), e04496.
  • Weise, K.; Höfer, R.; Franke, J.; Guelmami, A.; Simonson, W.; Muro, J.; O’Connor, B.; Strauch, A.; Flink, S.; Eberle, J.; Mino, E.; Thulin, S.; Philipson, P.; {van Valkengoed}, E.; Truckenbrodt, J.; Zander, F.; Sánchez, A.; Schröder, C.; Thonfeld, F.; Fitoka, E.; Scott, E.; Ling, M.; Schwarz, M.; Kunz, I.; Thürmer, G.; Plasmeijer, A.; Hilarides, L. (2020): Wetland extent tools for SDG 6.6.1 reporting from the Satellite-based Wetland Observation Service (SWOS). In: Remote Sensing of Environment, 247, 111892.
  • Elham Karimzadeh, J.; Hamed, N.; Kamran, A.; Latifi, H. (2020): A nondestructive, remote sensing-based estimation of the economic value of aboveground temperate forest biomass (case study: Hyrcanian forests, Nowshahr-iran). In: Journal of Sustainable Forestry
  • Stere{\’{n}}czak, K.; Laurin, G. V.; Chirici, G.; Coomes, D. A.; Dalponte, M.; Latifi, H.; Puletti, N. (2020): Global Airborne Laser Scanning Data Providers Database ({GlobALS}){\textemdash}A New Tool for Monitoring Ecosystems and Biodiversity. In: Remote Sensing, 12 (11), 1877.
  • Sangdehi, S. M. R.; Asghar, F.; Jafar, O.; Latifi, H. (2020): Effect of Altitude Gradient on Quantitative Characteristics of Forest Stands (Case Study: District-3 of Sangdeh Forests).. In: Journal of Wood and Forest Science Technology, 27 (1)
  • Thonfeld, F.; Steinbach, S.; Muro, J.; Kirimi, F. (2020): Long-Term Land Use/Land Cover Change Assessment of the Kilombero Catchment in Tanzania Using Random Forest Classification and Robust Change Vector Analysis. In: Remote Sensing, 12 (7), 1057.
  • Wurm, M.; Goebel, J.; Wagner, G. G.; Weigand, M.; Dech, S.; Taubenb{\"o}ck, H. (2020): Inferring floor area ratio thresholds for the delineation of city centers based on cognitive perception. In: Environment and Planning B: Urban Analytics and City Science
  • {Stark}, T.; {Wurm}, M.; {Zhu}, X. X.; {Taubenböck}, H. (2020): Satellite-Based Mapping of Urban Poverty With Transfer-Learned Slum Morphologies. In: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 13, 5251-63.
  • Thonfeld, F.; Steinbach, S.; Muro, J.; Hentze, K.; Games, I.; Näschen, K.; Kauzeni, P. F. (2020): The impact of anthropogenic land use change on the protected areas of the Kilombero catchment, Tanzania. In: ISPRS Journal of Photogrammetry and Remote Sensing, 168, 41-55.
  • Li, M.; Koks, E.; Taubenböck, H.; {van Vliet}, J. (2020): Continental-scale mapping and analysis of 3D building structure. In: Remote Sensing of Environment, 245, 111859.
  • Shi, L.; Wurm, M.; Huang, X.; Zhong, T.; Leichtle, T.; Taubenböck, H. (2020): Urbanization that hides in the dark – Spotting China’s “ghost neighborhoods” from space. In: Landscape and Urban Planning, 200, 103822.
  • {Kraff}, N. J.; {Wurm}, M.; {Taubenböck}, H. (2020): Uncertainties of Human Perception in Visual Image Interpretation in Complex Urban Environments. In: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 13, 4229-41.
  • Taubenb{\"o}ck, H.; Schmich, P.; Erbertseder, T.; M{\"u}ller, I.; Tenikl, J.; Weigand, M.; Staab, J.; Wurm, M. (2020): Satellitendaten zur Erfassung gesundheitsrelevanter Umweltbedingungen: Beispiele und interdisziplin{\"a}re Potenziale. In: Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz, 63 (8), 936-44.
  • Sapena, M.; Ruiz, L. A.; Taubenböck, H. (2020): Analyzing Links between Spatio-Temporal Metrics of Built-Up Areas and Socio-Economic Indicators on a Semi-Global Scale
  • Petry, L.; Herold, H.; Meinel, G.; Meiers, T.; Müller, I.; Kalusche, E.; Erbertseder, T.; Taubenböck, H.; Zaunseder, E.; Srinivasan, V.; Osman, A. M. M. M.; Weber, B.; Jäger, S.; Mayer, C.; Gengenbach, C. (2020): Air Quality Monitoring and Data Management in Germany - Status Quo and Suggestions for Improvement
  • Heinemann, S.; Siegmann, B.; Thonfeld, F.; Muro, J.; Jedmowski, C.; Kemna, A.; Kraska, T.; Muller, O.; Schultz, J.; Udelhoven, T.; Wilke, N.; Rascher, U. (2020): Land Surface Temperature Retrieval for Agricultural Areas Using a Novel {UAV} Platform Equipped with a Thermal Infrared and Multispectral Sensor. In: Remote Sensing, 12 (7), e1075.
  • {Zhao}, J.; {Tian}, S.; {Geiß}, C.; {Wang}, L.; {Zhong}, Y.; {Taubenböck}, H. (2020): Spectral-Spatial Classification Integrating Band Selection for Hyperspectral Imagery With Severe Noise Bands. In: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 13, 1597-1609.
  • Müller, I.; Taubenböck, H.; Kuffer, M.; Wurm, M. (2020): Misperceptions of Predominant Slum Locations? Spatial Analysis of Slum Locations in Terms of Topography Based on Earth Observation Data. In: Remote Sensing, 12 (15), 2474.
  • {Shi}, L.; {Huang}, X.; {Zhong}, T.; {Taubenböck}, H. (2020): Mapping Plastic Greenhouses Using Spectral Metrics Derived From GaoFen-2 Satellite Data. In: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 13, 49-59.
  • Conrad, C.; Usman, M.; Morper-Busch, L.; Schönbrodt-Stitt, S. (2020): Remote sensing-based assessments of land use, soil and vegetation status, crop production and water use in irrigation systems of the Aral Sea Basin. A review. In: Water Security, 11 (100078)
  • Holzwarth, S.; Thonfeld, F.; Abdullahi, S.; Asam, S.; Canova, E. D. P.; Gessner, U.; Huth, J.; Kraus, T.; Leutner, B.; Kuenzer, C. (2020): Earth Observation Based Monitoring of Forests in Germany: A Review. In: Remote Sensing, 12 (21), 3570.
  • Taubenböck, H.; Debray, H.; Qiu, C.; Schmitt, M.; Wang, Y.; Zhu, X. (2020): Seven city types representing morphologic configurations of cities across the globe. In: Cities, 105, 102814.
  • Ulloa-Torrealba, Y.; Stahlmann, R.; Wegmann, M.; Koellner, T. (2020): Over 150 Years of Change: Object-Oriented Analysis of Historical Land Cover in the Main River Catchment, Bavaria/Germany. In: Remote Sensing, 12 (24), 4048.
  • Shi, L.; Wurm, M.; Huang, X.; Zhong, T.; Taubenböck, H. (2020): Measuring the spatial hierarchical urban system in China in reference to the Central Place Theory. In: Habitat International, 105, 102264.
  • Geiß, C.; Schrade, H.; {Aravena Pelizari}, P.; Taubenböck, H. (2020): Multistrategy ensemble regression for mapping of built-up density and height with Sentinel-2 data. In: ISPRS Journal of Photogrammetry and Remote Sensing, 170, 57-71.
  • Kraff, N. J.; Wurm, M.; Taubenböck, H. (2020): The dynamics of poor urban areas - analyzing morphologic transformations across the globe using Earth observation data. In: Cities, 107, 102905.
  • Shi, L.; Huang, X.; Zhong, T.; Taubenböck, H. (2020): Mapping Plastic Greenhouses Using Spectral Metrics Derived From GaoFen-2 Satellite Data. In: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, (49-59)
  • Taghavi Bayat, A.; Schönbrodt-Stitt, S.; Nasta, P.; Ahmadian, N.; Conrad, C.; Bogena, H. R.; Vereecken, H.; Jakobi, J.; Baatz, R.; Romano, N. (2020): Mapping near-surface soil moisture in a Mediterranean agroforestry ecosystem using Cosmic-Ray Neutron Probe and Sentinel-1 Data
  • Forkuor, G.; Ullmann, T.; Griesbeck, M. (2020): Mapping and Monitoring Small-Scale Mining Activities in Ghana using Sentinel-1 Time Series (2015{\textendash}2019). In: Remote Sensing, 12 (6), 911.
  • Sogno, P.; Traidl-Hoffmann, C.; Kuenzer, C. (2020): Earth Observation Data Supporting Non-Communicable Disease Research: A Review. In: Remote Sensing, 12 (16), 2541.
  • Nyamekye, C.; Schönbrodt-Stitt, S.; Amedudzi, L. K.; Zoungrana, B. J.-B.; Thiel, M. (2020): Usage of MODIS NDVI to evaluate the effect of soil and water conservation measures on vegetation in Burkina Faso. In: Land Degradation and Development, 1-13.
  • Reinermann, S.; Asam, S.; Kuenzer, C. (2020): Remote Sensing of Grassland Production and Management - A Review. In: Remote Sensing, 12 (12), 1-32.
  • Schwalb-Willmann, J.; Remelgado, R.; Safi, K.; Wegmann, M. (2020): moveVis: Animating movement trajectories in synchronicity with static or temporally dynamic environmental data in r. In: Methods in Ecology and Evolution
  • Mikosh, N.; Becker, R.; Schelter, L.; Berger, M.; Usman, M.; Finbeiner, M. (2020): High resolution water scarcity analysis for cotton cultivation areas in Punjab, Pakistan,. In: Ecological Indicators, 109, 105852.
2019[ to top ]
  • Leichtle, T.; Lakes, T.; Zhu, X. X.; Taubenböck, H. (2019): Has Dongying developed to a ghost city? - Evidence from multi-temporal population estimation based on VHR remote sensing and census counts. In: Computers, Environment and Urban Systems, 78, 101372.
  • Baumhoer, C. A.; Dietz, A. J.; Kneisel, C.; Kuenzer, C. (2019): Automated Extraction of Antarctic Glacier and Ice Shelf Fronts from Sentinel-1 Imagery Using Deep Learning. In: Remote Sensing, 11 (21), 2529.
  • Leila, S.; Amir, E. B.; Ramin, N.; Latifi, H. (2019): Classification of quantitative attributes of Zagros forest using Landsat 8-OLI and Random Forest algorithm (Case study: protected area of Manesht forests).. In: Journal of Forest Research and Development, 4 (4), 415-34.
  • Peters, M. K.; Hemp, A.; Appelhans, T.; Becker, J. N.; Behler, C.; Classen, A.; Detsch, F.; Ensslin, A.; Ferger, S. W.; Frederiksen, S. B.; Gebert, F.; Gerschlauer, F.; Gütlein, A.; Helbig-Bonitz, M.; Hemp, C.; Kindeketa, W. J.; Kühnel, A.; Mayr, A. V.; Mwangomo, E.; Ngereza, C.; Njovu, H. K.; Otte, I.; Pabst, H.; Renner, M.; Röder, J.; Rutten, G.; Costa, D. S.; Sierra-Cornejo, N.; Vollstädt, M. G. R.; Dulle, H. I.; Eardley, C. D.; Howell, K. M.; Keller, A.; Peters, R. S.; Ssymank, A.; Kakengi, V.; Zhang, J.; Bogner, C.; Böhning-Gaese, K.; Brandl, R.; Hertel, D.; Huwe, B.; Kiese, R.; Kleyer, M.; Kuzyakov, Y.; Nauss, T.; Schleuning, M.; Tschapka, M.; Fischer, M.; Steffan-Dewenter, I. (2019): Climate-land-use interactions shape tropical mountain biodiversity and ecosystem functions. In: Nature, 568 (7750), 88-92.
  • Latifi, H.; Heurich, M. (2019): Multi-Scale Remote Sensing-Assisted Forest Inventory: A Glimpse of the State-of-the-Art and Future Prospects. In: Remote Sensing, 11 (11), 1260.
  • Khare, S.; Latifi, H.; Rossi, S.; Ghosh, S. K. (2019): Fractional Cover Mapping of Invasive Plant Species by Combining Very High-Resolution Stereo and Multi-Sensor Multispectral Imageries. In: Forests, 10 (7), 540.
  • Khare, S.; Latifi, H.; Rossi, S. (2019): Forest beta-diversity analysis by remote sensing: How scale and sensors affect the Rao’s Q index. In: Ecological Indicators, 106, 105520.
  • Ataee, M. S.; Maghsoudi, Y.; Latifi, H.; Fadaie, F. (2019): Improving Estimation Accuracy of Growing Stock by Multi-Frequency {SAR} and Multi-Spectral Data over Iran’s Heterogeneously-Structured Broadleaf Hyrcanian Forests. In: Forests, 10 (8), 641.
  • Latifi, H.; Valbuena, R. (2019): Current Trends in Forest Ecological Applications of Three-Dimensional Remote Sensing: Transition from Experimental to Operational Solutions?. In: Forests, 10 (10), 891.
  • Mayr, S.; Kuenzer, C.; Gessner, U.; Klein, I.; Rutzinger, M. (2019): Validation of Earth Observation Time-Series: A Review for Large-Area and Temporally Dense Land Surface Products. In: Remote Sensing, 11 (22), 2616.
  • Taubenböck, H.; Weigand, M.; Esch, T.; Staab, J.; Wurm, M.; Mast, J.; Dech, S. (2019): A new ranking of the world’s largest cities—Do administrative units obscure morphological realities?. In: Remote Sensing of Environment, 232, 111353.
  • Hosseini, Z.; Naghavi, H.; Latifi, H.; Bakhtiarvand, S. B. (2019): Estimating biomass and carbon sequestration of plantations around industrial areas using very high resolution stereo satellite imagery. In: {iForest} - Biogeosciences and Forestry, 12 (6), 533-41.
  • Wurm, M.; Goebel, J.; Wagner, G. G.; Weigand, M.; Dech, S.; Taubenböck, H. (2019): Inferring floor area ratio thresholds for the delineation of city centers based on cognitive perception. In: Environment and Planning B: Urban Analytics and City Science, 239980831986934.
  • Taubenböck, H.; Gerten, C.; Rusche, K.; Siedentop, S.; Wurm, M. (2019): Patterns of Eastern European urbanisation in the mirror of Western trends {\textendash} Convergent, unique or hybrid?. In: Environment and Planning B: Urban Analytics and City Science, 46 (7), 1206-25.
  • Uereyen, S.; Kuenzer, C. (2019): A Review of Earth Observation-Based Analyses for Major River Basins. In: Remote Sensing, 11 (24), 2951.
  • Kuenzer; Heimhuber; Huth; Dech. (2019): Remote Sensing for the Quantification of Land Surface Dynamics in Large River Delta Regions{\textemdash}A Review. In: Remote Sensing, 11 (17), 1985.
  • Hu, Z.; Dietz, A.; Kuenzer, C. (2019): The potential of retrieving snow line dynamics from Landsat during the end of the ablation seasons between 1982 and 2017 in European mountains. In: International Journal of Applied Earth Observation and Geoinformation, 78, 138-48.
  • Tsai; Dietz; Oppelt; Kuenzer. (2019): A Combination of {PROBA}-V/{MODIS}-based Products with Sentinel-1 {SAR} Data for Detecting Wet and Dry Snow Cover in Mountainous Areas. In: Remote Sensing, 11 (16), 1904.
  • Palacios-Lopez, D.; Bachofer, F.; Esch, T.; Heldens, W.; Hirner, A.; Marconcini, M.; Sorichetta, A.; Zeidler, J.; Kuenzer, C.; Dech, S.; Tatem, A. J.; Reinartz, P. (2019): New Perspectives for Mapping Global Population Distribution Using World Settlement Footprint Products. In: Sustainability, 11 (21), 6056.
  • Remelgado, R.; Wegmann, M.; Safi, K. (2019): rsMove – An R package to bridge Remote Sensing and Movement Ecology. In: Methods in Ecology and Evolution, 1-23.
  • Ludwig, M.; Ludwig, H.; Conrad, C.; Dahms, T.; Mayhöfer, R. (2019): Cabbage whiteflies colonise Brassica vegetables primarily from distant,upwind source habitats. In: Entomologia Experimentalis et Applicata, Volume 1678 (Issue 8)
  • Kumar, N.; Khamzina, A.; Tischbein, B.; Knöfel, P.; Conrad, C.; Lamers, J. P. (2019): Spatio-temporal supply–demand of surface water for agroforestry planning in saline landscape of the lower Amudarya Basin. In: Journal of Arid Environments, 162, 53-61.
  • Zhu, Z.; Zhou, Y.; Seto, K. C.; Stokes, E. C.; Deng, C.; Pickett, S. T.; Taubenböck, H. (2019): Understanding an urbanizing planet: Strategic directions for remote sensing. In: Remote Sensing of Environment, 228, 164-82.
  • {Wurm}, M.; {Weigand}, M.; {Stark}, T.; {Goebel}, J.; {Wagner}, G. G.; {Taubenböck}, H. (2019): Modelling the impact of the urban spatial structure on the choice of residential location using ‘big earth data’ and machine learning. In: 2019 Joint Urban Remote Sensing Event (JURSE)Seiten, 1-4.
  • {Stark}, T.; {Wurm}, M.; {Taubenböck}, H.; {Zhu}, X. X. (2019): Slum Mapping in Imbalanced Remote Sensing Datasets Using Transfer Learned Deep Features. In: 2019 Joint Urban Remote Sensing Event (JURSE)Seiten, 1-4.
  • Philipp, M. B.; Levick, S. R. (2019): Exploring the Potential of C-Band {SAR} in Contributing to Burn Severity Mapping in Tropical Savanna. In: Remote Sensing, 12 (1), 49.
  • {Friesen}, J.; {Knoche}, C.; {Hartig}, J.; {Pelz}, P. F.; {Taubenböck}, H.; {Wurm}, M. (2019): Sensitivity of slum size distributions as a function of spatial parameters for slum classification. In: 2019 Joint Urban Remote Sensing Event (JURSE)Seiten, 1-4.
  • {Kraff}, N. J.; {Taubenböck}, H.; {Wurm}, M. (2019): How dynamic are slums? EO-based assessment of Kibera’s morphologic transformation. In: 2019 Joint Urban Remote Sensing Event (JURSE)Seiten, 1-4.
  • {Friesen}, J.; {Lestakova}, M.; {Kaltenmorgen}, J.; {Nahaganeshan}, S.; {Pelz}, P. F.; {Taubenböck}, H.; {Wurm}, M. (2019): Size Distributions for Morphological Slums in Asia and South America. In: 2019 Joint Urban Remote Sensing Event (JURSE)Seiten, 1-4.
  • Singh Dhillon, M.; Kaur, S.; Aggarwal, R. (2019): Delineation of critical regions for mitigation of carbon emissions due to groundwater pumping in central Punjab. In: Groundwater for Sustainable Development
  • Liuzzi, M.; Aravena Pelizari, P.; Gei{\ss}, C.; Masi, A.; Tramutoli, V.; Taubenb{\"o}ck, H. (2019): A transferable remote sensing approach to classify building structural types for seismic risk analyses: the case of Val d’Agri area (Italy). In: Bulletin of Earthquake Engineering, 17 (9), 4825-53.
2018[ to top ]
  • Pettorelli, N.; Schulte to Buehne, H.; Tulloch, A.; Dubois, G.; Macinnis-Ng, C.; Queirós, A. M.; Keith, D. A.; Wegmann, M.; Schrodt, F.; Stellmes, M.; Sonnenschein, R.; Geller, G. N.; Roy, S.; Somers, B.; Murray, N.; Bland, L.; Geijzendorffer, I.; Kerr, J. T.; Broszeit, S.; Leit ao, P. J.; Duncan, C.; Serafy, G. E.; He, K. S.; Blanchard, J. L.; Lucas, R.; Mairota, P.; Webb, T. J.; Nicholson, E. (2018): Satellite remote sensing of ecosystem functions: opportunities, challenges and way forward. In: Remote Sensing in Ecology and Conversation 2018, 4 (2), 71-93.
  • Luque, S.; Pettorelli, N.; Vihervaara, P.; Wegmann, M. (2018): "Improving biodiversity monitoring using satellite remote sensing to provide solutions towards the 2020 conservation targets". In: Methods in Ecology and Evolution, 9 (8), 1784-86.
  • Bae, S.; Müller, J.; Lee, D.; Vierling, K. T.; Vogeler, J. C.; Vierling, L. A.; Hudak, A. T.; Latifi, H.; Thorn, S. (2018): Taxonomic, functional, and phylogenetic diversity of bird assemblages are oppositely associated to productivity and heterogeneity in temperate forests. In: Remote Sensing of Environment, 215, 145-56.
  • Kortmann, M.; Heurich, M.; Latifi, H.; Rösner, S.; Seidl, R.; Müller, J.; Thorn, S. (2018): Forest structure following natural disturbances and early succession provides habitat for two avian flagship species, capercaillie (Tetrao urogallus) and hazel grouse (Tetrastes bonasia). In: Biological Conservation, 226, 81-91.
  • Fassnacht, F. E.; Latifi, H.; Hartig, F. (2018): Using synthetic data to evaluate the benefits of large field plots for forest biomass estimation with LiDAR. In: Remote Sensing of Environment, 213, 115-28.
  • Usman, M.; Liedl, R.; Arshad, M.; Conrad, C. (2018): 3-D numerical modelling of groundwater flow for scenario-based analysis and management. In: Water SA
  • Latifi, H.; Dahms, T.; Beudert, B.; Heurich, M.; Kübert, C.; Dech, S. (2018): Synthetic RapidEye data used for the detection of area-based spruce tree mortality induced by bark beetles. In: GIScience & Remote Sensing, 55 (6), 839-59.
  • Latifi, H.; Dahms, T.; Beuders, B.; Heurich, M.; Kuebert, C.; Dech, S. (2018): Synthetic RapiidEye data used for the detection of area-based spruce tree mortality induced by bark beetles.. In: GIScience and Remote Sensing
  • Röder, M.; Latifi, H.; Hill, S.; Jan, W.; Miroslav, S.; Josef, B.; Martin, M.; Nováková, M. H.; Eberhard, G.; Marco, H. (2018): Application of optical unmanned aerial vehicle-based imagery for the inventory of natural regeneration and standing deadwood in post-disturbed spruce forests.. In: International Journal of Remote Sensing
  • Ramiro Silveyra, G.; Latifi, H.; Holger, W.; Matthias, D.; Marco, H.; Barbara, K. (2018): Integrating LiDAR and high-resolution imagery for object-based mapping of forest habitats in a heterogenuous temperate forest landscape.. In: International Journal of Remote Sensing
  • Zoungrana, B. J.; Conrad, C.; Thiel, M.; Amekudzi, L. K.; Dapola Da, E. (2018): MODIS NDVI trends and fractional land cover change for improved assessments of vegetation degradation in Burkina Faso, West Africa. In: Journal of Arid Enviroments, 153, 66-75.
  • Buchanan, G.; Beresford, A.; Hebbelwhite, M.; Escobedo, F.; DeKlerk, H.; Donald, P.; Escribano, P.; Koh, L.; Marínez-López, J.; Pettorelli, N.; Skidmore, A.; Szantoi, Z.; Tabor, K.; Wegmann, M.; Wich, S. (2018): Free satellite data key to conservation. In: Science, Vol. 361 (Issue 6398), 139-40.
  • Heinrich, I.; Balanzategui, D.; Bens, O.; Blasch, G.; Blume, T.; B{\"o}ttcher, F.; Borg, E.; Brademan, B.; Brauer, A.; Conrad, C.; Dietze, E.; Dr{\"a}ger, N.; Fiener, P.; G{\"u}ntner, A.; Heine, I.; Helle, G.; Herbrich, M.; Harfenmeister, K.; Heussner, K.-U.; Hohmann, C.; Itzerott, S.; Kaiser, K.; Kappler, C.; Koebsch, F.; Liebner, S.; Lischeid, G.; Merz, B.; Missling, K.-D.; Morgner, M.; Pinkerneil, S.; Plessen, B.; Raab, T.; Ruhtz, T.; Sachs, T.; Sommer, M.; Spengler, D.; Stender, V.; St{\"u}ve, P.; Wilken, F. (2018): Integrating time scales: Interdisciplinary geo-ecological research in the Northeast German Lowland Observatory (TERENO-NE).. In: Vadose Zone JournalVadose Zone Journal, 1-25.
  • Nyamekye, C.; Thiel, M.; Schönbrodt-Stitt, S.; Zoungrana, B. J. B.; Amekudzi, L. K. (2018): Soil and Water Conservation in Burkina Faso, West Africa. In: Sustainability, 10 (9), 1-24.
  • Rocchini, D.; Luque, S.; Pettorelli, N.; Bastin, L.; Doktor, D.; Faedi, N.; Feilhauer, H.; Féret, J.-B.; Foody, G. M.; Gavish, Y.; Godinho, S.; Kunin, W. E.; Lausch, A.; Leitão, P. J.; Marcantonio, M.; Neteler, M.; Ricotta, C.; Schmidtlein, S.; Vihervaara, P.; Wegmann, M.; Nagendra, H. (2018): Measuring ß-diversity by remote sensing: A challenge for biodiversity monitoring. In: Methods in Ecology and Evolution, 9, 1787–1798.
  • Usman, M.; Reimann, T.; Liedl, R.; Abbas, A.; Conrad, C.; Salim, S. (2018): Inverse Parametrization of a Regional Groundwater Flow Model with the Aid of Modelling and GIS: Test and Application of Different Approaches. In: International Journal of Geo-Information, 7 (22)
  • Lausch, A.; Borg, E.; Bumberger, J.; Dietrich, P.; Heurich, M.; Huth, A.; Jung, A.; Klenke, R.; Knapp, S.; Mollenhauer, H.; Paasche, H.; Paulheim, H.; Pause, M.; Schweitzer, C.; Schmulius, C.; Settele, J.; Skidmore, A.; Wegmann, M.; Zacharias, S.; Kirsten, T.; Schaepman, M. (2018): Understanding Forest Health with Remote Sensing, Part III: Requirements for a Scalable Multi-Source Forest Health Monitoring Network Based on Data Science Approaches. In: Remote Sensing, 10 (7), 1-52.
  • Qamar, U.; Azmat, M.; Abbas, A.; Usman, M.; Shahid, M. A. (2018): Water Pricing and Implementation Strategies for the Sustainability of an Irrigation System: A Case Study within the Command Area of the Rakh Branch Canal. In: Water, 10 (4), 509.
  • Rocchini, D.; Bacaro, G.; Chirici, G.; Re, D. D.; Feilhauer, H.; Foody, G. M.; Galluzzi, M.; Garzon-Lopez, C. X.; Gillespie, T. W.; He, K. S.; Lenoir, J.; Marcantonio, M.; Nagendra, H.; Ricotta, C.; Rommel, E.; Schmidtlein, S.; Skidmore, A. K.; Kerchove, R. V. D.; Wegmann, M.; Rugani, B. (2018): Remotely sensed spatial heterogeneity as an exploratory tool for taxonomic and functional diversity study. In: Ecological Indicators, 85, 983-90.
  • Schönbrodt-Stitt, S.; Conrad, C.; Dimov, D.; Ergashev, I.; Löw, F.; Morper-Busch, L.; Muminov, S.; Ruziev, I.; Schorcht, G.; Solodky, G.; Sorokin, D.; Stulina, G.; Toshpulatov, R.; Zaitov, S.; Kitapbayev, A.; Unger-Shayesteh, K. (2018): The WUEMoCA Tool for Monitoring Irrigated Cropland Use and Water Use Efficiency at the Landscape Level of the Aral Sea Basin. In: Novel Methods and Results of Landscape Research in Europe, Central Asia and Siberia, Vol. 4 Optimising Agricultural Landscapes, 4 (72), 351-56.
  • Abbas, A.; Amjath-Babu, T.; Kächele, H.; Usman, M.; Iqbal, M.; Arshad, M.; Adnan, M.; Müller, K. (2018): Sustainable survival under climatic extremes: linking flood risk mitigation and coping with flood damages in rural Pakistan. In: Environmental Science and Poluttion research, 25, 32491.
  • Zaman, M.; Anjum, M.; Usman, M.; Ahmad, I.; Saifullah, M.; Yuan, S.; Liu, S. (2018): Enumerating the effects of climate change on water resources using GCM scenarios at the Xin’anjiang Watershed, China. In: Water, 10 (10), 1296.
  • Singh, M. D.; Kaur, S.; Sood, A.; Aggarwal, R. (2018): Estimation of carbon emissions from groundwater pumping in central Punjabhg. von Carbon Management. In: Carbon Management, 9 (4), 425-35.
  • Lausch, A.; Borg, E.; Bumberger, J.; Dietrich, P.; Heurich, M.; Huth, A.; Jung, A.; Klenke, R.; Knapp, S.; Mollenhauer, H.; Paaschen, H.; Paulheim, H.; Pause, M.; Schweizer, C.; Schmullius, C.; Settele, J.; Skidmore, A.; Wegmann, M.; Zacharias, S.; Kirsten, T.; Schaepman, M. E. (2018): Understanding forest health with remote sensing -Part III - Requirements for a global multi-source forest health monitoring network. In: Remote SensingSpecial Issue "Remote Sensing of Forest Health", 10 (1120), 1-52.
2017[ to top ]
  • Xu, X.; Conrad, C.; Doktor, D. (2017): Optimising Phenological Metrics Extraction for Different Crop Types in Germany Using the Moderate Resolution Imaging Spectrometer (MODIS).. In: Remote Sensing, 9 (3), 254.
  • Löw, F.; Biradar, C.; Fliemann, E.; Lamers, J. P.; Conrad, C. (2017): Assessing gaps in irrigated agricultural productivity through satellite earth observations—A case study of the Fergana Valley, Central Asia. In: International Journal of Applied Earth Observation and Geoinformation, 59, 118-34.
  • Ferger, S. W.; Peters, M. K.; Appelhans, T.; Detsch, F.; Hemp, A.; Nauss, T.; Otte, I.; Böhning-Gaese, K.; Schleuning, M. (2017): Synergistic effects of climate and land use on avian beta diversity. Diversity and Distributions. In: Diversity and Distributions, 23, 1246-55.
  • Fassnacht, F. E.; Mangold, D.; Schäfer, J.; Immitzer, M.; Kattenborn, T.; Koch, B.; Latifi, H. (2017): Estimating stand density, biomass and tree species from very high resolution stereo-imagery {\textendash} towards an all-in-one sensor for forestry applications?. In: Forestry: An International Journal of Forest Research, 1-19.
  • Khare, S.; Latifi, H.; Ghosh, S. K. (2017): Multi-scale assessment of invasive plant species diversity using Pléiades 1A, RapidEye and Landsat-8 data. In: Geocarto International, 1-18.
  • Rocchini, D.; Petras, V.; Petrasova, A.; Horning, N.; Furtkevicova, L.; Neteler, M.; Leutner, B.; Wegmann, M. (2017): Open data and open source for remote sensing training in ecology. In: Ecological Informatics, 40, 57-61.
  • Pettorelli, N.; Nagendra, H.; Rocchini, D.; Rowcliffe, M.; Williams, R.; Ahumada, J.; De Angelo, C.; Atzberger, C.; Boyd, D.; Buchanan, G.; Chauvenet, A.; Disney, M.; Duncan, C.; Fatoyinbo, T.; Fernandez, N.; Haklay, M.; He, K.; Horning, N.; Kelly, N.; de Klerk, H.; Liu, X.; Merchant, N.; Paruelo, J.; Roy, H.; Roy, S.; Ryan, S.; Sollmann, R.; Swenson, J.; Wegmann, M. (2017): Remote Sensing in Ecology and Conservation: three years on. In: Remote Sensing in Ecology and Conservation, 3 (2), 53-56.
  • Knauer, K.; Gessner, U.; Fensholt, R.; Forkuor, G.; Kuenzer, C. (2017): Monitoring Agricultural Expansion in Burkina Faso over 14 Years with 30 m Resolution Time Series: The Role of Population Growth and Implications for the Environment. In: Remote Sensing, 9 (132), 1-25.
  • Möller, M.; Gerstmann, H.; Gao, F.; Dahms, T. C.; Förster, M. (2017): Coupling of phenological information and simulated vegetation index time series: Limitations and potentials for the assessment and monitoring of soil erosion risk. In: Catena, 150, 192-205.
  • Remelgado, R.; Leutner, B.; Safi, K.; Sonnenschein, R.; Kuebert, C.; Wegmann, M. (2017): Linking animal movement and remote sensing – mapping resource suitability from a remote sensing perspective. In: Remote Sensing in Ecology and Conservation
  • Roccini, D.; Luque, S.; Pettorelli, N.; Bastin, L.; Doktor, D.; Faedi, N.; Feilhauer, H.; Feret, J.-B.; Foody, G. M.; Gavish, Y.; Godinho, S.; Kunin, W.; Lausch, A.; Leitao, P.; Marcantonio, M.; Neteler, M.; Ricotta, C.; Schmidtlein, S.; Vihervaara, P.; Wegmann, M.; Nagendra, H. (2017): Measuring {\ss}-diversity by remote sensing: A challenge for biodiversity monitoring. In: Methods in Ecology and Evolution, 9 (8), 1787-98.
  • Batsaikhan, A.; Asam, S.; Klein, D.; Conrad, C. (2017): Analysis of grassland phenology at different site conditions using webcams -A case study in the European Alps-. In: Journal of the Japan Society of Photogrammetry and Remote Sensing, 56 (4), 137-42.
  • Calabrese, A.; Calabrese, J. M.; Songer, M.; Wegmann, M.; Hedges, S.; Rose, R.; Leimgruber, P. (2017): Conservation status of Asian elephants: the influence of habitat and governance. In: Biodiversity and Conservation, 1-5.
  • Clauss, K.; Ottinger, M.; K{\"u}nzer, C. (2017): Mapping rice areas with Sentinel-1 time series and superpixel segmentation. In: International Journal of Remote Sensing, 39 (5), 1399-1420.
  • Otte, I.; Detsch, F.; Gütlein, A.; Scholl, M.; Kiese, R.; Appelhans, T.; Nauss, T. (2017): Seasonality of stable isotope composition of atmospheric water input at the southern slopes of Mt. Kilimanjaro, Tanzania. In: Hydrological Processes, 31 (22), 3932-47.
  • Richard, K.; Abdel-Rahman, E. M.; Subramanian, S.; Nyasani, J. O.; Thiel, M.; Jozani, H.; Borgemeister, C.; Landmann, T. (2017): Maize Cropping Systems Mapping Using RapidEye Observations in Agro-Ecological Landscapes in Kenya. In: Sensor, 17 (11)
  • Wegmann, M.; Leutner, B. F.; Metz, M.; Neteler, M.; Dech, S.; Rocchini, D. (2017): r.pi: a GRASS GIS package for semi-automatic spatial pattern analysis of remotely sensed land cover data. In: Methods in Ecology and Evolution
  • Detsch, F.; Otte, I.; Appelhans, T.; Nauss, T. (2017): A glimpse at short-term controls of evapotranspiration along the southern slopes of Kilimanjaro. In: Environmental Monitoring and Assessment, 189 (9), 465.
  • Otte, I.; Detsch, F.; Mwangomo, E.; Hemp, A.; Appelhans, T.; Nauss, T. (2017): Multidecadal Trends and Interannual Variability of Rainfall as Observed from Five Lowland Stations at Mt. Kilimanjaro, Tanzania. In: Journal of Hydrometeorology, 18 (2), 349-61.
  • Latifi, H.; Koch, B. (2017): Editorial for the Special Issue "Remote Sensing-assisted forest inventory". In: Journal of Photogrammetry, Remote Sensing and Geoinformation Science, 85 (4), 211-12.
  • Wegmann, M. (2017): Editorial: Remote Sensing Training in Ecology and Conservation – challenges and potential. In: Remote Sensing in Ecology and Conservation, 3 (1), 5-6.
  • Latifi, H.; Hill, S.; Schumann, B.; Heurich, M.; Dech, S. (2017): Multi-model estimation of understorey shrub, herb and moss cover in temperate forest stands by laser scanner data. In: Forestry
  • Khare, S.; Ghosh, S. K.; Latifi, H.; Vijay, S.; Dahms, T. (2017): Seasonal-based analysis of vegetation response to environmental variables in the mountainous forests of Western Himalaya using Landsat 8 data. In: International Journal of Remote Sensing, 38 (15), 4418-42.
  • Karami, O.; Fallah, A.; Shataee, S.; Latifi, H. (2017): Investigation on the feasibility of mapping of oak forest dieback severity using Worldview-2 satellite data (Case study: Ilam forests). In: Iranian Journal of Forest and Poplar Research, 25 (3), 452-62.
  • Forkuor, G.; Conrad, C.; Thiel, M.; Zoungrana, B. J.-B.; Tondoh, J. E. (2017): Multiscale Remote Sensing to Map the Spatial Distribution and Extent of Cropland in the Sudanian Savanna of West Africa. In: Remote Sensing, 9 (8)
  • Forkuor, G.; Hounkpatin, O. K. L.; Welp, G.; Thiel, M. (2017): High Resolution Mapping of Soil Properties Using Remote Sensing Variables in South-Western Burkina Faso: A Comparison of Machine Learning and Multiple Linear Regression Models. In: Plos one, 12 (1), 1-21.
  • Ottinger, M.; Clauss, K.; K{\"u}nzer, C. (2017): Large-Scale Assessment of Coastal Aquaculture Ponds with Sentinel-1 Time Series Data. In: Remote Sensing, 9 (440), 1-23.
  • Aryal, R. R.; Latifi, H.; Heurich, M.; Hahn, M. (2017): Impact of Slope, Aspect, and Habitat-Type on LiDAR-Derived Digital Terrain Models in a Near Natural, Heterogeneous Temperate Forest. In: PFG - Journal of Photogrammetry, Remote Sensing and Geoinformation Science
  • Hill, S.; Latifi, H.; Heurich, M.; Müller, J. (2017): Individual-tree- and stand-based development following natural disturbance in a heterogeneously structured forest: A LiDAR-based approach. In: Ecological Informatics, 38, 12-25.
  • Wang, Z.; Skidmore, A. K.; Wang, T.; Darvishzadeh, R.; Heiden, U.; Heurich, M.; Latifi, H.; Hearne, J. (2017): Canopy foliar nitrogen retrieved from airborne hyperspectral imagery by correcting for canopy structure effects. In: International Journal of Applied Earth Observation and Geoinformation, 54, 84-94.
  • Pettorelli, N.; Nagendra, H.; Rocchini, D.; Rowcliffe, M.; Williams, R.; Ahumada, J.; Angelo, C. D.; Atzberger, C.; Boyd, D.; Buchanan, G. M.; Chauvenet, A.; Disney, M.; Duncan, C.; Fatoyinbo, T.; Fernandez, N.; Haklay, M.; He, K.; Horning, N.; Kelly, N.; de Klerk, H.; Liu, X.; Merchant, N.; Paruelo, N.; Roy, H.; Shovonlal, R.; Ryan, S.; Sollmann, R.; Swenson, J.; Wegmann, M. (2017): Editorial: Remote Sensing in Ecology and Conservation: three years on. In: Remote Sensing in Ecology and Conservation, 3 (2), 53-56.
  • Taubenb{\"o}ck, H.; Standfu{\ss}, I.; Wurm, M.; Krehl, A.; Siedentop, S. (2017): Measuring morphological polycentricity - A comparative analysis of urban mass concentrations using remote sensing data. In: Computers, Environment and Urban Systems, 64, 42-56.
  • Palumbo, I.; Rose, R. A.; Headley, R.; Nackoney, J.; Vodacek, A.; Wegmann, M. (2017): Building capacity in remote sensing for conservation: present and future challenges. In: Remote Sensing in Ecology and Conservation, 1-9.
  • Taubenböck, H.; Ferstl, J.; Dech, S. (2017): Regions Set in Stone—Delimiting and Categorizing Regions in Europe by Settlement Patterns Derived from EO-Data. In: ISPRS International Journal of Geo-Information, 6 (2)
  • Pettorelli, N.; Schulte to Bühne, H.; Tulloch, A.; Dubois, G.; Macinnis-Ng, C.; Queirós, A. M.; Keith, D. A.; Wegmann, M.; Schrodt, F.; Stellmes, M.; Sonnenschein, R.; Geller, G. N.; Roy, S.; Somers, B.; Murray, N.; Bland, L.; Geijzendorffer, I.; Kerr, J. T.; Broszeit, S.; Leitão, P. J.; Duncan, C.; El Serafy, G.; He, K. S.; Blanchard, J. L.; Lucas, R.; Mairota, P.; Webb, T. J.; Nicholson, E. (2017): Satellite remote sensing of ecosystem functions: opportunities, challenges and way forward. In: Remote Sensing in Ecology and Conservation, n/a-n/a.
  • Kleemann, J.; Inkoom, J. N.; Thiel, M.; Shankar, S.; Lautenbach, S.; Fürst, C. (2017): Peri-urban land use pattern and its relation to land use planning in Ghana, West Africa. In: Landscape and Urban Planning, 165, 280-94.
  • Stumpf, F.; Schmidt, K.; Goebes, P.; Behrens, T.; Sch{\"o}nbrodt-Stitt, S.; Wadoux, A.; Xiang, W.; Scholten, T. (2017): Uncertainty-guided sampling to improve digital soil maps. In: Catena, 153, 30-38.
  • Schulte to Bühne, H.; Wegmann, M.; Durant, S. M.; Ransom, C.; de Ornellas, P.; Grange, S.; Beatty, H.; Pettorelli, N. (2017): Protection status and national socio-economic context shape land conversion in and around a key transboundary protected area complex in West Africa. In: Remote Sensing in Ecology and Conservation
2016[ to top ]
  • Waldner, F.; Fritz, S.; Di Gregorio, A.; Plotnikov, D.; Bartalev, S.; Kussul, N.; Gong, P.; Thenkabail, P.; Hazeu, G.; Klein, I.; Löw, F.; Miettinen, J.; Dadhwal, V. K.; Lamarche, C.; Bontemps, S.; Defourny, P. (2016): A Unified Cropland Layer at 250 m for Global Agriculture Monitoring. In: Data, 1 (1), 1-13.
  • Conrad, C.; Schönbrodt-Stitt, S.; Löw, F.; Sorokin, D.; Paeth, H. (2016): Cropping Intensity in the Aral Sea Basin and Its Dependency from the Runoff Formation 2000–2012. In: Remote Sensing, 8 (8), 630.
  • Conrad, C.; Lamers, J.; Ibragimov, N.; Löw, F.; Martius, C. (2016): Analysing irrigated crop rotation patterns in arid Uzbekistan by the means of remote sensing: A case study on post-Soviet agricultural land use. In: Journal of Arid Environments, 124, 150-59.
  • Pettorelli, N.; Wegmann, M.; Skidmore, A.; Mücher, S.; Dawson, T. P.; Fernandez, M.; Lucas, R.; Schaepman, M. E.; Wang, T.; O’Connor, B.; Jongman, R. H.; Kempeneers, P.; Sonnenschein, R.; Leidner, A. K.; Böhm, M.; He, K. S.; Nagendra, H.; Dubois, G.; Fatoyinbo, T.; Hansen, M. C.; Paganini, M.; de Klerk, H. M.; Asner, G. P.; Kerr, J. T.; Estes, A. B.; Schmeller, D. S.; Heiden, U.; Rocchini, D.; Pereira, H. M.; Turak, E.; Fernandez, N.; Lausch, A.; Cho, M. A.; Alcaraz-Segura, D.; McGeoch, M. A.; Turner, W.; Mueller, A.; St-Louis, V.; Penner, J.; Vihervaara, P.; Belward, A.; Reyers, B.; Geller, G. N. (2016): Framing the concept of satellite remote sensing essential biodiversity variables: challenges and future directions. In: Remote Sensing in Ecology and Conservation
  • van Toor, M. L.; Newman, S. H.; Takekawa, J. Y.; Wegmann, M.; Safi, K. (2016): Temporal segmentation of animal trajectories informed by habitat use. In: Ecosphere, 7 (10), 1-16.
  • Palumbo, I.; Rose, R. A.; Headley, R. M. K.; Nackoney, J.; Vodacek, A.; Wegmann, M. (2016): Building capacity in remote sensing for conservation: present and future challenges. In: Remote Sensing in Ecology and Conservation
  • Löw, F.; Waldner, F.; Latchininsky, A.; Biradar, C.; Bolkart, M. (2016): Timely monitoring of Asian Migratory locust habitats in the Amudarya delta, Uzbekistan using time series of satellite remote sensing vegetation index. In: Journal of Environmental Management, 183 (3)
  • Clauss, K.; Yan, H.; Künzer, C. (2016): Mapping Paddy Rice in China in 2002, 2005, 2010 and 2014 with MODIS Time Series. In: Remote SensingRemote Sensing, 8 (5), 1-22.
  • Dahms, T.; Seissiger, S.; Borg, E.; Vajen, H.; Fichtelmann, B.; Conrad, C. (2016): Important Variables of a RapidEye Time Series for Modelling Biophysical Parameters of Winter Wheat. In: Photogrammetrie - Fernerkundung - Geoinformation, 2016 (5-6), 285-99.
  • Paganini, M.; Leidner, A. K.; Geller, G.; Turner, W.; Wegmann, M. (2016): The role of space agencies in remotely sensed essential biodiversity variables. In: Remote Sensing in Ecology and Conservation, 2 (3), 132-40.
  • Ernst, R.; Hölting, M.; Rodney, K.; Benn, V.; Thomas-Caesar, R.; Wegmann, M. (2016): A frog’s eye view: logging roads buffer against further diversity loss. In: Frontiers in Ecology and the Environment, 14 (7), 353-55.
  • Fassnacht, F. E.; Latifi, H.; Stereńczak, K.; Modzelewska, A.; Lefsky, M.; Waser, L. T.; Straub, C.; Ghosh, A. (2016): Review of studies on tree species classification from remotely sensed data. In: Remote Sensing of Environment, 186, 64-87.
  • Clark, B. L.; Bevanda, M.; Aspillaga, E.; Jørgensen, N. H. (2016): Bridging disciplines with training in remote sensing for animal movement: an attendee perspective. In: Remote Sensing in Ecology and Conservation
  • Ibrahim Mahmoud, M.; Duker, A.; Conrad, C.; Thiel, M.; Shaba Ahmad, H. (2016): Analysis of Settlement Expansion and Urban Growth Modelling Using Geoinformation for Assessing Potential Impacts of Urbanization on Climate in Abuja City, Nigeria. In: Remote Sensing, 8 (3), 220.
  • Khare, S.; Latifi, H.; Ghosh, K. (2016): Phenology Analysis of Forest Vegetation to Environmental Variables during pre-and Post-Monsoon Seasons in Western Himalayan Region of India. In: Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., {XLI}-B2, 15-19.
  • Röder, J.; Detsch, F.; Otte, I.; Appelhans, T.; Nauss, T.; Brandl, R. (2016): Heterogeneous patterns of abundance of epigeic arthropod taxa along a major elevation gradient. In: Biotropica, 49, 217-28.
  • Detsch, F.; Otte, I.; Appelhans, T.; Nauss, T. (2016): A Comparative Study of Cross-Product {NDVI} Dynamics in the Kilimanjaro Region{\textemdash}A Matter of Sensor, Degradation Calibration, and Significance. In: Remote Sensing, 8 (2), 159.
  • Detsch, F.; Otte, I.; Appelhans, T.; Hemp, A.; Nauss, T. (2016): Seasonal and long-term vegetation dynamics from 1-km {GIMMS}-based {NDVI} time series at Mt. Kilimanjaro, Tanzania. In: Remote Sensing of Environment, 178, 70-83.
  • Peters, M. K.; Hemp, A.; Appelhans, T.; Behler, C.; Classen, A.; Detsch, F.; Ensslin, A.; Ferger, S. W.; Frederiksen, S. B.; Gebert, F.; Haas, M.; Helbig-Bonitz, M.; Hemp, C.; Kindeketa, W. J.; Mwangomo, E.; Ngereza, C.; Otte, I.; Röder, J.; Rutten, G.; Costa, D. S.; Tardanico, J.; Zancolli, G.; Deckert, J.; Eardley, C. D.; Peters, R. S.; Rödel, M.-O.; Schleuning, M.; Ssymank, A.; Kakengi, V.; Zhang, J.; Böhning-Gaese, K.; Brandl, R.; Kalko, E. K.; Kleyer, M.; Nauss, T.; Tschapka, M.; Fischer, M.; Steffan-Dewenter, I. (2016): Predictors of elevational biodiversity gradients change from single taxa to the multi-taxa community level. In: Nature Communications, 7 (1)
  • Conrad, C.; Kaiser, B. O.; Lamers, J. P. A. (2016): Quantifying water volumes of small lakes in the inner Aral Sea Basin, Central Asia, and their potential for reaching water and food security. In: Environmental Earth Sciences, 75 (11), 952.
  • Danumah, J. H.; Odai, S. N.; Saley, B. M.; Szarzynski, J.; Thiel, M.; Kwaku, A.; Kouame, F. K.; Akpa, L. Y. (2016): Flood risk assessment and mapping in Abidjan district using multi-criteria analysis ({AHP}) model and geoinformation techniques, (cote d’ivoire). In: Geoenvironmental Disasters, 3 (1)
  • Ziegler, S.; Fa, J. E.; Wohlfart, C.; Streit, B.; Jacob, S.; Wegmann, M. (2016): Mapping Bushmeat Hunting Pressure in Central Africa. In: Biotropica, 48 (3), 405-12.
  • Knauer, K.; Gessner, U.; Fensholt, R.; Kuenzer, C. (2016): An ESTARFM Fusion Framework for the Generation of Large-Scale Time Series in Cloud-Prone and Heterogeneous Landscapes. In: Remote Sensing, 8 (5), 425.
  • Latifi, H.; Heurich, M.; Hartig, F.; Müller, J.; Krzystek, P.; Jehl, H.; Dech, S. (2016): Estimating over- and understorey canopy density of temperate mixed stands by airborne LiDAR data. In: Forestry, 89 (1), 69-81.
  • Ottinger, M.; Clauss, K.; Künzer, C. (2016): Aquaculture: Relevance, Distribution, Impacts and Spatial Assessments. A Review. In: Ocean \& Coastal ManagementElsevier, 119, 244-66.
2015[ to top ]
  • Buchanan, G. M.; Brink, A. B.; Leidner, A. K.; Rose, R.; Wegmann, M. (2015): Advancing terrestrial conservation through remote sensing. In: Ecological Informatics, 30, 318-21.
  • Turner, W.; Rondinini, C.; Pettorelli, N.; Mora, B.; Leidner, A.; Szantoi, Z.; Buchanan, G.; Dech, S.; Dwyer, J.; Herold, M.; Koh, L.; Leimgruber, P.; Taubenboeck, H.; \textbf{Wegmann, M.; Wikelski, M.; Woodcock, C. (2015): Free and open-access satellite data are key to biodiversity conservation. In: Biological Conservation, 182, 173-76.
  • Früh-Müller, A.; Wegmann, M.; Koellner, T. (2015): Flood exposure and settlement expansion since pre-industrial times in 1850 until 2011 in north Bavaria, Germany. In: Regional Environmental Change, 15 (1), 183-93.
  • Löw, F.; Duveiller, G.; Conrad, C.; Michel, U. (2015): Impact of Categorical and Spatial Scale on Supervised Crop Classification using Remote Sensing. In: Photogrammetrie - Fernerkundung - Geoinformation, 2015 (1), 7-20.
  • Walz, Y.; Wegmann, M.; Leutner, B.; Dech, S.; Vounatsou, P.; N’Goran, E.; Raso, G.; Utzinger, J. (2015): Use of an ecologically relevant modelling approach to improve remote sensing-based schistosomiasis risk profiling. In: Geospatial Health, 10 (2)
  • Appelhans, T.; Mwangomo, E.; Otte, I.; Detsch, F.; Nauss, T.; Hemp, A. (2015): Eco-meteorological characteristics of the southern slopes of Kilimanjaro, Tanzania. In: International Journal of Climatology, 36 (9), 3245-58.
  • Forkuor, G.; Conrad, C.; Thiel, M.; Landmann, T.; Barry, B. (2015): Evaluating the sequential masking classification approach for improving crop discrimination in the Sudanian Savanna of West Africa. In: Computers and Electronics in Agriculture, 118, 380-89.
  • Lex, S.; Asam, S.; Löw, F.; Conrad, C. (2015): Comparison of two Statistical Methods for the Derivation of the Fraction of Absorbed Photosynthetic Active Radiation for Cotton. In: Photogrammetrie, Fernerkundung und Geoinformation, 2015 (1), 55-67.
  • Heurich, M.; Krzystek, P.; Polakowski, F.; Latifi, H.; Krauss, A.; Müller, J. (2015): Erste Waldinventur auf Basis von Lidardaten und digitalen Luftbildern im Nationalpark Bayerischer Wald. In: Forstliche Forschungsberichte München, 2015 (214), 101-3.
  • Malec, S.; Rogge, D.; Heiden, U.; Sanchez-Azofeifa, A.; Bachmann, M.; Wegmann, M. (2015): Capability of Spaceborne Hyperspectral EnMAP Mission for Mapping Fractional Cover for Soil Erosion Modeling. In: Remote Sensing, 7 (9), 11776.
  • Ayanu, Y.; Conrad, C.; Jentsch, A.; Koellner, T. (2015): Unveiling Undercover Cropland Inside Forests Using Landscape Variables: A Supplement to Remote Sensing Image Classificationhg. von Jian Yang. In: {plos} {one}, 10 (6), e0130079.
  • Löw, F.; Knöfel, P.; Conrad, C. (2015): Analysis of uncertainty in multi-temporal object-based classification. In: ISPRS - Journal of Photogrammetry and Remote Sensing, 105, 91-106.
  • Latifi, H.; Fassnacht, F. E.; Hartig, F.; Berger, C.; Hernández, J.; Corvalán, P.; Koch, B. (2015): Stratified aboveground forest biomass estimation by remote sensing data. In: International Journal of Applied Earth Observation and Geoinformation, 38, 229-41.
  • Rocchini, D.; Boyd, D. S.; Féret, J.-B.; Foody, G. M.; He, K. S.; Lausch, A.; Nagendra, H.; Wegmann, M.; Pettorelli, N. (2015): Satellite remote sensing to monitor species diversity: potential and pitfalls. In: Remote Sensing in Ecology and Conservation
  • Walz, Y.; Wegmann, M.; Dech, S.; Vounatsou, P.; Poda, J.-N.; N’Goran, E. K.; Utzinger, J.; Raso, G. (2015): Modeling and Validation of Environmental Suitability for Schistosomiasis Transmission Using Remote Sensinghg. von Justin V. Remais. In: {PLoS} Negl Trop Dis, 9 (11), e0004217.
  • Nguyen, D. B.; Clauss, K.; Cao, S.; Naeimi, V.; Künzer, C.; Wagner, W. (2015): Mapping Rice Seasonality in the Mekong Delta with Multi-Year Envisat ASAR WSM Data. In: Remote Sensing, 7, 15868-93.
  • Machwitz, M.; Gessner, U.; Conrad, C.; Falk, U.; Richters, J.; Dech, S. (2015): Modelling the Gross Primary Productivity of West Africa with the Regional Biomass Model RBM+, using optimized 250 m \{MODIS\} \{FPAR\} and fractional vegetation cover information. In: International Journal of Applied Earth Observation and Geoinformation
  • Turner, W.; Rondinini, C.; Pettorelli, N.; Mora, B.; Leidner, A. K.; Szantoi, Z.; Buchanan, G.; Dech, S.; Dwyer, J.; Herold, M.; Koh, L. P.; Leimgruber, P.; Taubenb{\"o}ck, H.; Wegmann, M.; Wikelski, M.; Woodcock, C. (2015): Free and open-access satellite data are key to biodiversity conservation. In: Biological Conservation, 182, 173-76.
  • Pasoli, L.; Notarnicola, C.; Bertoldi, G.; Bruzzone, L.; Remelgado, R.; Greifender, F.; Niedrist, G.; Della Chiesa, S.; Tappeiner, U.; Zebisch, M. (2015): Estimation of Soil Moisture in Mountain Areas Using SVR Technique Applied to Multiscale Active Radar Images at C-Band. In: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 8, 262-83.
  • Alavipanah, S.; Wegmann, M.; Qureshi, S.; Weng, Q.; Koellner, T. (2015): The Role of Vegetation in Mitigating Urban Land Surface Temperatures: A Case Study of Munich, Germany during the Warm Season. In: Sustainability, 7 (4), 4689.
  • Fa, J. E.; Olivero, J.; Real, R.; Farfan, M. A.; Marquez, A. L.; Vargas, J. M.; Ziegler, S.; Wegmann, M.; Brown, D.; Margetts, B.; Nasi, R. (2015): Disentangling the relative effects of bushmeat availability on human nutrition in central Africa. In: NATURE, Scientific Reports 5
  • Löw, F.; Conrad, C.; Michel, U. (2015): Decision fusion and non-parametric classifiers for land use mapping using multi-temporal RapidEye data. In: ISPRS - Journal of Photogrammetry and Remote Sensing, 108, 191-204.
  • Löw, F.; Fliemann, E.; Abdullaev, I.; Conrad, C.; Lamers, J. P. (2015): Mapping abandoned agricultural land in Kyzyl-Orda, Kazakhstan using satellite remote sensing. In: Applied Geography, 62, 377-90.
  • He, K. S.; Bradley, B. A.; Cord, A. F.; Rocchini, D.; Tuanmu, M.-N.; Schmidtlein, S.; Turner, W.; Wegmann, M.; Pettorelli, N. (2015): Will remote sensing shape the next generation of species distribution models?. In: Remote Sensing in Ecology and Conservation, 1 (1), 4-18.
  • Tedim, F.; Remelgado, R.; Martins, J.; Carvalho, S. (2015): The largest forest fires in {Portugal}: the constraints of burned area size on the comprehension of fire severity. In: Journal of Environmental Biology, 36, 133-43.
  • Latifi, H.; Fassnacht, F. E.; Müller, J.; Tharani, A.; Dech, S.; Heurich, M. (2015): Forest inventories by LiDAR data: A comparison of single tree segmentation and metric-based methods for inventories of a heterogeneous temperate forest. In: International Journal of Applied Earth Observation and Geoinformation, 162-74.
  • Zoungrana, B. J.-B.; Conrad, C.; Amekudzi, L. K.; Thiel, M.; Da, E. D.; Forkuor, G.; Löw, F. (2015): Multi-Temporal Landsat Images and Ancillary Data for Land Use/Cover Change (LULCC) Detection in the Southwest of Burkina Faso, West Africa. In: Remote Sensing, 7 (9), 12076.
  • Skidmore, A. K.; Pettorelli, N.; Coops, N. C.; Geller, G. N.; Hansen, M.; Lucas, R.; Mücher, C. A.; O’Connor, B.; Paganini, M.; Pereira, H. M.; Schaepman, M. E.; Turner, W.; Wang, T.; Wegmann, M. (2015): Environmental science: Agree on biodiversity metrics to track from space. In: Nature, 523 (7561), 403.
  • Walz, Y.; Wegmann, M.; Dech, S.; Raso, G.; Utzinger, J. (2015): Risk profiling of schistosomiasis using remote sensing: approaches, challenges and outlook. In: Parasites Vectors, 8 (1)
  • Conrad, C.; Rudloff, M.; Abdullaev, I.; Thiel, M.; Löw, F.; Lamers, J. (2015): Measuring rural settlement expansion in Uzbekistan using remote sensing to support spatial planning. In: Applied Geography, 62, 29-43.
  • Bevanda, M.; Fronhofer, E. A.; Heurich, M.; Müller, J.; Reineking, B. (2015): Landscape configuration is a major determinant of home range size variation. In: Ecosphere
2014[ to top ]
  • Schmidt, M.; Klein, D.; Conrad, C.; Dech, S.; Paeth, H. (2014): On the relationship between vegetation and climate in tropical and northern Africa. In: Theoretical and Applied Climatology, 115 (1-2), 341-53.
  • Kuenzer, C.; Ottinger, M.; Liu, G.; Baumhauer, R.; Dech, S. (2014): Earth observation-based coastal zone monitoring of the Yellow River Delta: Dynamics in China’s second largest oil producing region over four decades. In: Applied Geography, 55, 92-107.
  • Kuenzer, C.; Ottinger, M.; Wegmann, M.; Guo, H.; Wang, C.; Zhang, J.; Dech, S.; Wikelski, M. (2014): Earth observation satellite sensors for biodiversity monitoring: potentials and bottlenecks. In: International Journal of Remote Sensing, 35 (18), 6599-6647.
  • Pettorelli, N.; Laurance, W. F.; O’Brien, T. G.; Wegmann, M.; Nagendra, H.; Turner, W. (2014): Satellite remote sensing for applied ecologists: opportunities and challenges. In: Journal of Applied Ecology, 51 (4), 839-48.
  • Stenzel, S.; Feilhauer, H.; Mack, B.; Metz, A.; Schmidtlein, S. (2014): Remote sensing of scattered Natura 2000 habitats using a one-class classifier.. In: International Journal of Applied Earth Observation and Geoinformation, 33, 211-17.
  • Wohlfahrt, C.; Wegmann, M.; Leimgruber, P. (2014): Mapping threatened dry deciduous dipterocarp forest in South-east Asia for conservation management. In: Tropical Conservation Science, 7 (4), 597-613.
  • Rose, R.; Byler, D.; Eastman, R.; Fleishman, E.; Geller, G.; Goetz, S.; Guild, L.; Hamilton, H.; Hansen, M.; Headley, R.; Hewson, J.; Horning, N.; Kaplin, A. B.; Laporte, N.; Leidern, A.; Leimgruber, P.; Morisette, J.; Musinsky, H.; Pintea, L.; Prados, A.; Radeloff, V.; Rowen, M.; Saatchi, S.; Schill, S.; Tabor, K.; Tunrer, W.; Vodacek, A.; Vogelmann, J.; Wegmann, M.; Wilkie, D.; Wilson, C. (2014): Ten Ways Remote Sensing Can Contribute to Conservation. In: Conservation Biology
  • Schuster, C.; Schmidt, T.; Conrad, C.; Kleinschmit, B.; Förster, M. (2014): Grassland habitat mapping by intra-annual time series analysis – Comparison of RapidEye and TerraSAR-X satellite data. In: International Journal of Applied Earth Observation and Geoinformation, 34, 25-34.
  • Latifi, H.; Fassnacht, F.; Schumann, B.; Dech, S. (2014): Object-based extraction of bark beetle (Ips typographus L.) infestations using multi-date Landsat and SPOT satellite imagery. In: Progress in Physical Geography, 1–31.
  • Duncan, C.; Kretz, D.; Wegmann, M.; Rabeil, T.; Pettorelli, N. (2014): Oil in the Sahara: mapping anthropogenic threats to Saharan biodiversity from space. In: Philosophical Transactions of the Royal Society B: Biological Sciences, 369 (1643)
  • Fassnacht, F.; Hartig, F.; Latifi, H.; Berger, C.; Hernández, J.; Corvalán, P.; Koch, B. (2014): Importance of sample size, data type and prediction method for remote sensing-based estimations of aboveground forest biomass. In: Remote Sensing of Environment, 154, 102-14.
  • Wegmann, M.; Santini, L.; Leutner, B.; Safi, K.; Rocchini, D.; Bevanda, M.; Latifi, H.; Dech, S.; Rondinini, C. (2014): Role of African protected areas in maintaining connectivity for large mammals. In: Philosophical Transactions of the Royal Society B: Biological Sciences, 369 (1643)
  • Dietz, A. J.; Conrad, C.; Kuenzer, C.; Gesell, G.; Dech, S. (2014): Identifying Changing Snow Cover Characteristics in Central Asia between 1986 and 2014 from Remote Sensing Data. In: Remote Sensing, 6 (12), 12752-75.
  • Forkuor, G.; Conrad, C.; Thiel, M.; Ullmann, T.; Zoungrana, E. (2014): Integration of Optical and Synthetic Aperture Radar Imagery for Improving Crop Mapping in Northwestern Benin, West Africa. In: Remote Sensing, 6 (7), 6472-99.
  • Conrad, C.; Dech, S.; Dubovyk, O.; Fritsch, S.; Klein, D.; Löw, F.; Schorcht, G.; Zeidler, J. (2014): Derivation of temporal windows for accurate crop discrimination in heterogeneous croplands of Uzbekistan using multitemporal RapidEye images. In: Computers and Electronics in Agriculture, 103, 63-74.
  • Latifi, H.; Schumann, B.; Kautz, M.; Dech, S. (2014): Spatial characterization of bark beetle infestations by a multi-date synergy of SPOT and Landsat imagery. In: Environmental Monitoring and Assessment, 186, 441-56.
  • Bevanda, M.; Horning, N.; Reineking, B.; Heurich, M.; Wegmann, M.; Mueller, J. (2014): Adding structure to land cover - using fractional cover to study animal habitat use. In: Movement Ecology, 2 (26)
  • Zoungrana, B. J.-B.; Conrad, C.; Amekudzi, L. K.; Thiel, M.; Da, E. D. (2014): Land Use/Cover Response to Rainfall Variability: A Comparing Analysis between NDVI and EVI in the Southwest of Burkina Faso. In: Climate, 3 (1), 63-77.
  • Naghavi, H.; Fallah, A.; Shataee, S.; Latifi, H.; Soosani, J.; Ramezani, H.; Conrad, C. (2014): Canopy cover estimation across semi-Mediterranean woodlands: application of high-resolution earth observation data. In: Journal of Applied Remote Sensing, 8 (1), 083524.
  • Mack, B.; Roscher, R.; Waske, B. (2014): Can I Trust My One-Class Classification?. In: Remote Sensing, 6, 8779-8802.
  • Knauer, K.; Gessner, U.; Dech, S.; Kuenzer, C. (2014): Remote sensing of vegetation dynamics in West Africa. In: International Journal of Remote Sensing, 35 (17), 6357-96.
  • Shahabfar, A.; Ghulam, A.; Conrad, C. (2014): Understanding Hydrological Repartitioning and Shifts in Drought Regimes in Central and South-West Asia Using MODIS Derived Perpendicular Drought Index and TRMM Data. In: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 7 (3), 983-93.
  • Wegmann, M.; Santini, L.; Leutner, B.; Safi, K.; Rocchini, D.; Bevanda, M.; Latifi, H.; Dech, S.; Rondinini, C. (2014): Role of African protected areas in maintaining connectivity for large mammals. In: Philosophical Transactions of the Royal Society B: Biological Sciences, 369 (1643), 20130193.
  • Löw, F.; Duveiller, G. (2014): Defining the Spatial Resolution Requirements for Crop Identification Using Optical Remote Sensing. In: Remote Sensing, (6), 9034-63.
  • Dimov, D.; Palomar, J.; Ruiz, L. (2014): Automated generalization of land-use data with GISbased programming. In: GIS Science, (3)
  • Bevanda, M.; Horning, N.; Reineking, B.; Heurich, M.; Wegmann, M.; Mueller, J. (2014): Adding structure to land cover – using fractional cover to study animal habitat use. In: Movement Ecology
  • Kachelriess, D.; Wegmann, M.; Gollock, M.; Pettorelli, N. (2014): The application of remote sensing for marine protected area management. In: Ecological Indicators, 36, 169-77.
  • Fassnacht, F.; Latifi, H.; Ghosh, A.; Joshi, P.; Koch, B. (2014): Assessing the potential of hyperspectral imagery to map bark beetle-induced tree mortality. In: Remote Sensing of the Environment, 140, 533-48.
2013[ to top ]
  • Tischbein, B.; Manschadi, A.; Conrad, C.; Hornidge, A.-K.; Bhaduri, A.; Hassan, M.; Lamers, J.; Awan, K.; Vlek, P. (2013): Adapting to water scarcity: constraints and opportunities for improving irrigation management in Khorezm, Uzbekistan. In: Water Science & Technology, 13 (2), 337-48.
  • Dubovyk, O.; Menz, G.; Conrad, C.; Lamers, J. P.; Lee, A. (2013): Spatial targeting of land rehabilitation: a relational analysis of cropland productivity decline in arid Uzbekistan. In: Erdkunde : Archiv für Wissenschaftliche Geographie, 67 (2), 167-81.
  • Ottinger, M.; Kuenzer, C.; Liu, G.; Wang, S.; Dech, S. (2013): Monitoring land cover dynamics in the Yellow River Delta from 1995 to 2010 based on Landsat TM. In: Applied Geography, 44, 53-68.
  • Löw, F.; Michel, U.; Dech, S.; Conrad, C. (2013): Impact of feature selection on the accuracy and spatial uncertainty of per-field crop classification using Support Vector Machines. In: ISPRS Journal of Photogrammetry and Remote Sensing, 85, 102-19.
  • Kuenzer, C.; Knauer, K. (2013): Remote sensing of rice crop areas? A Review. In: International Journal of Remote Sensing, 34 (6), 2101-39.
  • Dietz, A.; Kuenzer, C.; Conrad, C. (2013): Snow-cover variability in central Asia between 2000 and 2011 derived from improved MODIS daily snow-cover products. In: International Journal of Remote Sensing, 34 (11), 3879-3902.
  • Conrad, C.; Rahmann, M.; Machwitz, M.; Stulina, G.; Paeth, H.; Dech, S. (2013): Satellite based calculation of spatially distributed crop water requirements for cotton and wheat cultivation in Fergana Valley, Uzbekistan. In: Global and Planetary Change, 110, Part A, 88-98.
  • Conrad, C.; Dech, S.; Hafeez, M.; Lamers, J.; Tischbein, B. (2013): Remote sensing and hydrological measurement based irrigation performance assessments in the upper Amu Darya Delta, Central Asia. In: Physics and Chemistry of the Earth
  • Tedim, F.; Remelgado, R.; Borges, C.; Carvalho, S.; Martins, J. (2013): Exploring the occurrence of mega-fires in Portugal. In: Forest Ecology and Management, 294, 86-96.
  • Dubovyk, O.; Menz, G.; Conrad, C.; Thonfeld, F.; Khamzina, A. (2013): Object-based identification of vegetation cover decline in irrigated agro-ecosystems in Uzbekistan. In: Quaternary International, 311, 163-74.
  • Löw, F.; Navratil, P.; Kotte, K.; Schöler, H. F.; Bubenzer, O. (2013): Remote sensing based analysis of landscape change in the desiccated seabed of the Aral Sea - A potential tool for assessing the hazard degree of dust and salt storms. In: Environmental monitoring and assessment, 8303-19.
  • Stefanski, J.; Mack, B.; Waske, B. (2013): Optimization of Object-Based Image Analysis With Random Forests for Land Cover Mapping. In: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 6 (6), 2492-2504.
  • Pereira, H. M.; Ferrier, S.; Walters, M.; Geller, G. N.; Jongman, R. H. G.; Scholes, R. J.; Bruford, M. W.; Brummitt, N.; Butchart, S. H. M.; Cardoso, A. C.; Coops, N. C.; Dulloo, E.; Faith, D. P.; Freyhof, J.; Gregory, R. D.; Heip, C.; H\"{o}ft, R.; Hurtt, G.; Jetz, W.; Karp, D. S.; McGeoch, M. A.; Obura, D.; Onoda, Y.; Pettorelli, N.; Reyers, B.; Sayre, R.; Scharlemann, J. P. W.; Stuart, S. N.; Turak, E.; Walpole, M.; Wegmann, M. (2013): Essential Biodiversity Variables. In: Science, 339 (6117), 277-78.
  • Asam, S.; Fabritius, H.; Klein, D.; Conrad, C.; Dech, S. (2013): Derivation of leaf area index for grassland within alpine upland using multi-temporal RapidEye data. In: International Journal of Remote Sensing, 34 (23), 8628-52.
  • Turner, W.; Buchanan, G.; Rondinini, C.; Dwyer, J.; Herold, M.; Koh, L. P.; Leidner, A.; Leimgruber, P.; Mora, B.; Pettorelli, N.; Szantoi, Z.; Taubenb{\"o}ck, H.; Wegmann, M.; Wikelski, M. (2013): Satellites: make data freely accessible. In: Nature, 498 (37), 37.
  • Gessner, U.; Machwitz, M.; Conrad, C.; Dech, S. (2013): Estimating the fractional cover of growth forms and bare surface in Savannas. A multi-resolution approach based on regression tree ensembles. In: Remote Sensing of Environment, 129, 90-102.
2012[ to top ]
  • Landmann, T.; Schramm, M.; Huettich, C.; Dech, S. (2012): MODIS-based change vector analysis for assessing wetland dynamics in Southern Africa. In: Remote Sensing Letters
  • Ayanu, Y.; Conrad, C.; Nauss, T.; Wegmann, M.; Koellner, T. (2012): Quantifying and Mapping Ecosystem Services Supplies and Demands: A Review of Remote Sensing Applications. In: Journal of Environmental Science and Technology, 46 (16), 8529-41.
  • Kotte, K.; Löw, F.; Huber, S.; Krause, T.; Mulder, I.; Schöler, H. (2012): Organohalogen emissions from saline environments - spatial extrapolation using remote sensing as most promising tool. In: Biogeosciences, 9, 1225-35.
  • Naidoo, R.; Du Preez, P.; Stuart-Hill, G.; Jago, M.; Wegmann, M. (2012): Home on the range: factors explaining partial migration of African buffalo in a tropical environment.. In: PLOS One, 7 (5)
  • Fritsch, S.; Machwitz, M.; Ehammer, A.; Conrad, C.; Dech, S. (2012): Validation of the collection 5 MODIS FPAR product in a heterogeneous agricultural landscape in arid Uzbekistan using multitemporal RapidEye imagery. In: International Journal of Remote Sensing, 33 (21), 6818-37.
  • Edlinger, J.; Conrad, C.; Lamers, J.; Koellner, T. (2012): Reconstructing the spatio-temporal development of cotton production systems in Uzbekistan using Landsat time series.. In: Remote Sensing, 4 (12), 3972-94.
  • Leutner, B.; Reineking, B.; Müller, J.; Bachmann, M.; Beierkuhnlein, C.; Dech, S.; Wegmann, M. (2012): Modelling Forest alpha-Diversity and Floristic Composition - On the Added Value of LiDAR plus Hyperspectral Remote Sensing. In: Remote Sensing, 4, 2818-45.
  • Dietz, A.; Kuenzer, C.; Gessner, U.; Dech, S. (2012): Remote sensing of snow – a review of available methods. In: International Journal of Remote Sensing, 13, 4094–4134.
  • Dietz, A.; Wohner, C.; Kuenzer, C. (2012): European Snow Cover Characteristics between 2000 and 2011 Derived from Improved MODIS Daily Snow Cover Products. In: Remote Sensing, 4, 2432-54.
  • Esch, T.; Taubenböck, H.; Roth, A.; Heldens, W.; Felbier, A.; Thiel, M.; Schmidt, M.; Müller, A.; Dech, S. (2012): TanDEM-X mission-new perspectives for the inventory and monitoring of global settlement patterns. In: Journal of Applied Remote Sensing, 6 (1)
  • Naidoo, R.; Du Preez, P.; Stuart-Hill, G.; Weaver, L. C.; Jago, M.; Wegmann, M. (2012): Factors affecting intraspecific variation in home range size of a large African herbivore.. In: Landscape Ecology, 27 (10), 1523-34.
  • Dubovyk, O.; Menz, G.; Conrad, C.; Kan, E.; Machwitz, M.; Khamzina, A. (2012): Spatio-temporal analyses of cropland degradation in the irrigates lowlands of Uzbekistan using remote sensing and logistic regression modelling.. In: Environmental Monitoring and Assessment, 185 (6), 4775-90.
2011[ to top ]
  • Esch, T.; Schenk, A.; Ullmann, T.; Thiel, M.; Roth, A.; Dech, S. (2011): Characterization of Land Cover Types in TerraSAR-S Images by Combined Analysis of Speckle Statistics and Intensity Information. In: IEEE Transactions on Geoscience and Remote Sensing, 49 (6), 1911-25.
  • Tischbein, B.; Manschadi, A. M.; Hornidge, A. K.; Conrad, C.; Lamers, J. P. A.; Oberkircher, L.; Schorcht, G.; Vlek, L. (2011): Ansätze für eine effiziente Wassernutzung in der Provinz Khorezm, Usbekistan. In: Hydrologie und Wasserbewirtschaftung, 55 (2), 116-25.
  • Awan, U. K.; Tischbein, B.; Conrad, C.; Martius, C.; Hafeez, M. (2011): Remote Sensing and hydrological measurements for irrigation performance assessments in a water user association in the lower Amu Darya River basin. In: Journal of Water Resources Management, 25 (10), 2467-85.
  • Hüttich, C.; Herold, M.; Wegmann, M.; Cord, A.; Strohbach, B.; Schmullius, C.; Dech, S. (2011): Assessing effects of temporal compositing and varying observation periods for large-area land-cover mapping in semi-arid ecosystems: Implications for global monitoring. In: Remote Sensing of Environment, 115 (10), 2445-59.
  • Knauer, K.; Klein, D.; Allsopp, N.; Baumhauer, R.; Dech, S. (2011): Monitoring ecosystem health of Fynbos remnant vegetation in the City of Cape Town using remote sensing. In: South African Journal of Botany, 77 (2), 572-72.
  • Colditz, R. R.; Schmidt, M.; Conrad, C.; Hansen, M. C.; Dech, S. (2011): Land cover classification with coarse spatial resolution data to derive continuous and discrete maps for complex regions. In: Remote Sensing of Environment, 115 (12), 3264-75.
  • Conrad, C.; Colditz, R.; Dech, S.; Klein, D.; Vlek, P. (2011): Improved irrigated crop classification in Central Asia using temporal segmentation and MODIS time series. In: International Journal of Remote Sensing, 32 (23), 8763-78.
  • Awan, K.; Tischbein, B.; Conrad, C.; Sultanov, M.; Lamers, J. (2011): Irrigation and drainage systems in Khorezm, Uzbekistan. In: ZEF Work Papers for Sustainable Development in Central Asia, 12
  • Cord, A.; Rödder, D. (2011): Inclusion of habitat availability in species distribution models through multi-temporal remote sensing data?. In: Ecological Applications, (in press).
  • Colditz, R.; Conrad, C.; Dech, S. (2011): Stepwise automated pixel-based generation of time series using ranked data quality indicators. In: IEEE Journal of Selected Topics in Earth Observations and Remote Sensing, 3 (4), 272-80.
2010[ to top ]
  • Goebel, J.; Wurm, M.; Wagner, G. G. (2010): Exploring the linkage of spatial indicators from Remote Sensing Data with Survey Data – the case of the Socio-Economic Panel (SOEP) and 3D City models. In: SOEPpapers on Multidisciplinary Panel Data Research, 283
  • Brocca, L.; Melone, F.; Moramarco, T.; Wagner, W.; Naeimi, V.; Bartalis, Z.; Hasenauer, S. (2010): Improving runoff prediction through the assimilation of the ASCAT soil moisture product. In: Hydrology and Earth System Sciences Discussions, 7 (4), 4113-44.
  • Conrad, C.; Fritsch, S.; Zeidler, J.; Rücker, G.; Dech, S. (2010): Per-Field Irrigated Crop Classification in Arid Central Asia Using SPOT and ASTER Data. In: Remote Sensing, 2 (4), 1035-56.
  • Rüth, N. A.; N’Goran, B.; Allou, K.; Konan, J.-L. K.; Kouassi, P. (2010): Growth Characterisristics of Phytophthora katsurae Isolates from Four Coconut Tree Growing Areas in Ivory Coast. In: European Journal of Scientific Research, 41 (1), 162-71.
  • Landmann, T.; Schramm, M.; Colditz, R. R.; Dietz, A.; Dech, S. (2010): Wide Area Wetland Mapping in Semi-Arid Africa Using 250-Meter MODIS Metrics and Topographic Variables. In: Remote Sensing, 2 (7), 1751-66.
  • Cord, A.; Conrad, C.; Schmidt, M.; Dech, S. (2010): Standardized FAO-LCCS land cover mapping in heterogeneous tree savannas of West Africa. In: Journal of Arid Environments, 74, 1083-91.
  • Goebel, J.; Wagner, G. G.; Wurm, M. (2010): Exemplarische Integration raumrelevanter Indikatoren auf Basis von "Fernerkundungsdaten" in das Sozio-oekonomische Panel (SOEP). In: SOEPpapers on Multidisciplinary Panel Data Research, 267
  • Wilting, A.; Cord, A.; Hearn, A.; Hesse, D.; Mohamed, A.; Traeholdt, C.; Cheyne, S. M.; Sunarto, S.; Jayasilan, M.-A.; Ross, J.; Shapiro, A. C.; Sebastian, A.; Dech, S.; Breitenmoser, C.; Sanderson, J.; Duckworth, J. W.; Hofer, H. (2010): Modelling the Species Distribution of Flat-Headed Cats (Prionailurus planiceps), an Endangered South-East Asian Small Felid. In: PLoS ONE, 5 (3), e9612.
  • Manschadi, A. M.; Oberkircher, L.; Tischbein, B.; Conrad, C.; Hornidge, A.-K.; Bhaduri, A.; Schorcht, G.; Lamers, J.; Vlek, P. L. G. (2010): White Gold’ and Aral Sea Disaster - Towards more efficient use of water resources in the Khorezm region, Uzbekistan. In: Lohmann Information, 45 (1), 34-47.
  • Crow, W. T.; Wagner, W.; Naeimi, V. (2010): The impact of radar incidence angle on soil moisture retrieval skill. In: Geoscience and Remote Sensing Letters, 7 (3), 501-5.
  • Taubenböck, H.; Esch, T.; Wurm, M.; Roth, A.; Dech, S. (2010): Object-based feature extraction using high spatial resolution satellite data of urban areas. In: Journal of Spatial Science, 55 (1), 111-26.
  • Sandker, M.; Nyame, S.; Förster, J.; Collier, N.; Shepherd, G.; Yeboah, D.; de Blas, D. E.; Machwitz, M.; Vaatainen, S.; Garedew, E.; Etoga, G.; Ehringhaus, C.; Anati, J.; Quarm, O. D. K.; Campbell, B. M. (2010): REDD payments as incentive for reducing forest loss: A case from Ghana. In: Conservation Letters, 3, 114-21.
  • Oberkircher, L.; Tischbein, B.; Hornidge, A.-K.; Schorcht, G.; Bhaduri, A.; Awan, U. K.; Manschadi, A. M. (2010): Rethinking water management in Khorezm, Uzbekistan. Concepts and recommendations. In: ZEF Working Paper Series, 54
  • Esch, T.; Thiel, M.; Schenk, A.; Roth, A.; Müller, A.; Dech, S. (2010): Delineation of Urban Footprints From TerraSAR-X Data by Analyzing Speckle Characteristics and Intensity Information. In: IEEE Transactions on Geoscience and Remote Sensing, 48 (2), 905-16.
  • Hüttich, C.; Herold, M.; Strohbach, B. J.; Dech, S. (2010): Integrating in-situ, Landsat, and MODIS data for mapping in Southern African savannas: experiences of LCCS-based land-cover mapping in the Kalahari in Namibia. In: Environmental Monitoring and Assessment
  • Albergel, C.; Calvet, J.-C.; Rosnay, P. D.; Balsamo, G.; Wagner, W.; Hasenauer, S.; Naeimi, V.; Martin, E.; Bazile, E.; Bouyssel, F. (2010): Cross-evaluation of modelled and remotely sensed surface soil moisture with in situ data in Southwestern France. In: Hydrology and Earth System Sciences Discussions, 7 (4), 4291-4330.
2009[ to top ]
  • Hüttich, C.; Geßner, U.; Herold, M.; Strohbach, B. J.; Schmidt, M.; Keil, M.; Dech, S. (2009): On the Suitability of MODIS Time Series Metrics to Map Vegetation Types in Dry Savanna Ecosystems: A Case Study in the Kalahari of NE Namibia. In: Remote Sensing, 1 (4), 620-43.
  • Blanco, J.; Vanegas, F.; Revelo, N.; Garzón, C.; Narváez-Vallejo, A.; Cristancho, E. (2009): Gender and age influence in the human capacity of facial differences detection. In: Acta Biol. Colomb, 14 (1)
  • Olesiuk, D.; Bachmann, M.; Habermeyer, M.; Heldens, W.; Zagajewski, B. (2009): Crop classification with neural networks using airborne hyperspectral imagery. In: Annals of Geomatics, 7 (2 (32), 107-12.
  • Franke, J.; Gebhardt, S.; Menz, G.; Helfrich, H.-P. (2009): Geo-statistical analysis of the spatiotemporal dynamics of powdery mildew and leaf rust in wheat. In: Phytopathology, 99 (8), 974-84.
  • Wagner, S.; Kunstmann, H.; Bárdossy, A.; Conrad, C.; Colditz, R. R. (2009): Water balance estimation of a poorly gauged catchment in West Africa using dynamically downscaled meteorological fields and remote sensing information. In: Physics and Chemistry of the Earth, 34, 225-35.
  • Rüth, N. A.; N’Goran, B.; Allou, K.; Dogbo, D. O.; Konan, K. J. L.; Kouassi, P. (2009): Differential behaviour in pathogenicity and enzymatic activities of Phytophthora katsurae strains from coconut trees in Côte d’Ivoire. In: Journal of Applied Biosciences, 21, 1246-57.
  • Esch, T.; Himmler, V.; Schorcht, G.; Thiel, M.; Conrad, C.; Wehrmann, T.; Bachhofer, F.; Schmidt, M.; Dech, S. (2009): Large-area assessment of impervious surface based on integrated analysis of single-date Landsat-7 images and geospatial vector data. In: Remote Sensing of Environment, 113 (8), 1678-90.
  • Taubenböck, H.; Wegmann, M.; Roth, A.; Mehl, H.; Dech, S. (2009): Urbanization in India – Spatiotemporal analysis using remote sensing data. In: Computers, Environment and Urban Systems, 33 (3), 179-88.
2008[ to top ]
  • Colditz, R. R.; Conrad, C.; Wehrmann, T.; Schmidt, M.; Dech, S. (2008): TiSeG: flexible Software Tool for Time-Series Generation of MODIS Data Utilizing the Quality Assessment Science Data Set. In: IEEE Transactions on Geoscience and Remote Sensing, 46 (10), 3296-3308.
  • Schramm, M.; Landmann, T.; Lohmann, P.; Heipke, C. (2008): Ein neues Modell für eine spektrale Entmischung ohne genaue Endmemberspektren. In: Photogrammetrie - Fernerkundung - Geoinformation, 5/2008, 351-62.
  • Esch, T.; Thiel, M.; Bock, M.; Roth, A.; Dech, S. (2008): Improvement of Image Segmentation Accuracy based on Multi-Scale Optimization Procedure. In: IEEE Geoscience and Remote Sensing Letters, 5 (3), 463-67.
  • Kalko, E. K. V.; Villegas, S. E.; Schmidt, M.; Wegmann, M.; Meyer, C. F. J. (2008): Flying high - assessing the use of the aerosphere by bats. In: Integrative and Comparative Biology, 48, 60-73.
  • Sommer, R.; Kienzler, K.; Conrad, C.; Ibragimov, N.; Lamers, J.; Martius, C.; Vlek, P. (2008): Evaluation of CropSyst for simulating the potential yield of cotton in Uzbekistan. In: Agronomy for Sustainable Development, 28 (2), 345-54.
  • Conrad, C.; Schierer, A. (2008): Wassernutzung in Zentralasien. Bewässerungsfeldbau im Amu Darja Delta. In: Praxis Geographie, 11, 26-33.
2007[ to top ]
  • Shi, Z.; Rücker, G. R.; Müller, M.; Conrad, C.; Ibragimov, N.; Lamers, J. P. A.; Martius, C.; Strunz, G.; Dech, S.; Vlek, P. L. G. (2007): Modeling of Cotton Yields in the Amu Darya River Floodplains of Uzbekistan Integrating Multi-Temporal Remote Sensing and Minimum Field Data. In: Agronomy Journal, 99, 1317-26.
  • Conrad, C.; Dech, S.; Hafeez, M.; Lamers, J.; Martius, C.; Strunz, G. (2007): Mapping and assessing water use in a Central Asian irrigation system by utilizing MODIS remote sensing products. In: Irrigation and Drainage Systems, 21 (3-4), 197-218.
  • Walz, Y.; Maier, S. W.; Dech, S. W.; Conrad, C.; Colditz, R. R. (2007): Classification of burn severity using Moderate Resolution Imaging Spectroradiometer (MODIS): A case study in the jarrah-marri forest of southwest Western Australia. In: Journal of Geophysical Research: Biogeosciences, 112 (G2)
  • Breitkreuz, H.; Schroedter-Homscheidt, M.; Holzer-Popp, T. (2007): A Case Study to Prepare for the Utilization of Aerosol Forecasts in Solar Energy Industries. In: Solar Energy, 81 (11), 1377-85.
2006[ to top ]
  • Hudson, P. F.; Colditz, R. R.; Aguilar-Robledo, M. (2006): Spatial relations between floodplain environments and land use - land cover in a large lowland tropical river valley: Pánuco basin México. In: Environmental Management, 38, 487-503.
  • Keene, W. C.; Lobert, J. M.; Crutzen, P. J.; Maben, J. R.; Scharffe, D. H.; Landmann, T.; Hély, C.; Brain, C. (2006): Emissions of major gaseous and particulate species during experimental burns of southern African biomass. In: Journal of Geophysical Research: Atmospheres, 111 (D4)
  • Colditz, R. R.; Wehrmann, T.; Bachmann, M.; Steinnocher, K.; Schmidt, M.; Strunz, G.; Dech, S. (2006): Influence of Image Fusion Approaches on Classification Accuracy - A Case Study. In: International Journal of Remote Sensing, 27, 3311-35.
  • Roy, D. P.; Trigg, S. N.; Bhima, R.; Brockett, B.; Dube, O.; Frost, P.; Govender, N.; Landmann, T.; Roux, J. L.; Lepono, T. (2006): The utility of satellite fire product accuracy information - perspectives and recommendations from the southern Africa fire network. In: IEEE Transactions on Geoscience and Remote Sensing, 44, 1928-30.
2005[ to top ]
  • Roy, D.; Landmann, T.; Le Roux, J.; Frost, P.; Makungwa, S.; Morisette, J.; Pereira, J.; du Toit, R.; Tacheba, B.; Zacarias. (2005): A consensus Southern Africa regional burnes area validation protocol. In: International Journal of Remote Sensing, 4265-92.
  • Roy, D.; Landmann, T. (2005): Characterizing the surface heterogeneity of fire effects using multi-temporal reflective wavelength data. In: International Journal of Remote Sensing, 4197-4218.
  • Landmann, T.; van den Berg, H. (2005): A comparison between MODIS (VCF) tree cover density and the 200-2002 South African National Land Cover (NLC) 2000 product. In: African Journal of GeoInfo
2004[ to top ]
  • Crews-Meyer, K. A.; Hudson, P. F.; Colditz, R. R. (2004): Landscape Complexity and Remote Classification in Eastern Coastal Mexico: Applications of Landsat‐7 ETM+ Data. In: Geocarto International, 19 (1), 45-56.
  • Flasse, S.; Trigg, S.; Ceccato, P.; Perryman, A.; Hudak, A.; Thompson, M.; Brockett, B.; Drame, M.; Ntabeni, T.; Frost, P.; Landmann, T.; le Roux, J. (2004): Remote Sensing Of Vegetation Fires And Its Contribution To A Fire Management Information System
  • Samimi, C.; Kraus, T. (2004): Biomass estimation using Landsat-TM and -ETM+. Towards a regional model for Southern Africa?. In: GeoJournal, 59 (3), 177-87.
2003[ to top ]
  • Landmann, T. (2003): Estimating fire severity from remote sensing information for experimental fires in the Kruger National Park (KNP). In: South African Journal of Sciences, 99, 357-60.
  • Hudson, P. F.; Colditz, R. R. (2003): Flood delineation in a large and complex alluvial valley, lower Pánuco basin, Mexico. In: Journal of Hydrology, 280 (1–4), 229-45.
2002[ to top ]
  • Conrad, C. (2002): Auswirkungen intensiver Bewässerungswirtschaft in Zentralasien.. In: Petermanns Geographische Mitteilungen, 146 (6), 4-5.

2021[ to top ]
  • Berghöfer, A.; Bisom, N.; Huland, E.; Koch, V.; Kruse, J.; Locher-Krause, K.; Philipp, M.; Renner, I.; Thibault, K.; Thiel, M.; Tröger, U.; Hugo, V. Z. (2021): Africa’s Protected Natural Assets: The Importance of Conservation Areas for Prosperous and Resilient Societies in Africa.
2020[ to top ]
  • Wegmann, M.; Schwalb-Willmann, J.; Dech, S. (2020): An Introduction to Spatial Data Analysis
2018[ to top ]
  • Arshad, M.; Ahmad, R.; Usman, M. (2018): Canal Operation through Management Information Systemhg. von Iqrar Ahmad Khan und Muhammad Sarwar Khan. In: Developing Sustainable Agriculture in Pakistan, 1, 946.
  • Usman, M.; Liedl, R.; Zhang, F.; Zaman, M. (2018): Groundwater Irrigated Agriculture in Central Punjab, Pakistanhg. von Eric Lichtfouse
2017[ to top ]
  • Conrad, C. (2017): Remote Sensing and Geoanalysis to Support Sustainable Land and Water Use in the Aral Sea Basin
2016[ to top ]
  • Wegmann, M.; Leutner, B.; Dech, S. (2016): Remote Sensing and GIS for Ecologists: Using Open Source Softwarehg. von M. Wegmann, B. Leutner, und S. Dech
2013[ to top ]
  • Künzer, C.; Dech, S., Hrsg. (2013): Thermal Infrared Remote Sensing. Sensors, Methods, Applications. In: Remote Sensing and Digital Image ProcessingRemote Sensing and Digital Image Processing, 537.
2010[ to top ]
  • Landmann, T.; Machwitz, M.; Schmidt, M.; Dech, S.; Vlek, P. (2010): Land cover change in West Africa as observed by satellite remote sensing. In: Biodiversity Atlas of West Africa, Volume II: Burkina FasoSeiten, 92-97.
  • Klein, R.; Wettemann, J.; Esch, T.; Himmler, V.; Schmidt, M. (2010): Das Indikatorenset "Flächenbarometer" - Neue Methoden zur Beobachtung der Flächeninanspruchnahme in Deutschland. In: Flächen- und Standortbewertung für ein nachhaltiges Flächenmanagement - Methoden und Konzepte. Beiträge aus der REFINA-Forschung, Reihe REFINA Band V
  • Taubenböck, H.; Dech, S., Hrsg. (2010): Fernerkundung Im Urbanen Raum, 1. Aufl.
  • Yao, N. A.; Landmann, T.; Schmidt, M.; Konaté, S.; Dech, S.; Linsenmair, K. E. (2010): Fire as an agent for vegetation structure & diversity. In: Biodiversity Atlas of West Africa, Volume II: Burkina FasoSeiten, 64-71.
  • Schramm, M.; Landmann, T.; Machwitz, M.; Schmidt, M.; Dech, S. (2010): Continuous tree density data as derived by remote sensing. In: Biodiversity Atlas of West Africa, Volume II: Burkina FasoSeiten, 98-101.
2008[ to top ]
  • Colditz, R. R. (unpublished PhD dissertation 2008): Time series analysis of value added remotely sensed products for biodiversity applications in tropical and sub tropical regions
  • Breitkreuz, H. (unpublished PhD dissertation 2008): Solare Strahlungsprognosen fuer energiewirtschaftliche Anwendungen - Der Einfluss von Aerosolen auf das sichtbare Strahlungsangebot
2007[ to top ]
  • Wehrmann, T. (unpublished PhD dissertation 2007): Entwicklung und Implementierung eines Systems zur automatisierten Klassifikation von Landbedeckung
2006[ to top ]
  • Schultz, C. (unpublished PhD dissertation 2006): Remote Sensing of Lichen Communities in the Central Namib Desert - Namibia
  • Vogel, M. (unpublished PhD dissertation 2006): Erfassung von Vegetationssveränderungen in Namibia mit Hilfe von Fernerkundungs-Change-Detection-Verfahren und unter Berücksichtigung rezenter Niederschlagsereignisse

2016[ to top ]
  • Leutner, B.; Wegmann, M.; Bevanda, M.; Horning, N. (2016): Spatial Data Analysis for Ecologists: Fist Steps In book: Remote Sensing and GIS for Ecologists: Using Open Source Software
  • Roccini, D.; Wegmann, M.; Leutner, B.; Bevanda, M. (2016): Spatial Land Cover Pattern Analysis in book: Remote Sensing and GIS for Ecologists: Using Open Source Software
  • Horning, N.; Leutner, B.; Bevanda, M.; Wegmann, M. (2016): Continuous Land Cover Information. In book: Remote Sensing and GIS for Ecologists: Using Open Source Software.
  • Bevanda, M.; Safi, K.; Wegmann, M.; Leutner, B. (2016): Introduction to the added value of Animal Movement Analysis and Remote Sensing in book: Remote Sensing and GIS for Ecologists: Using Open Source Software
  • Pettorelli, N.; Wegmann, M.; Gurney, L.; Dubois, G. (2016): Monitoring protected areas from space. In: Protected areas: are they safeguarding biodiversity?
2015[ to top ]
  • Gessner, U.; Knauer, K.; Kuenzer, C.; Dech, S. (2015): Land Surface Phenology in a West African Savanna: Impact of Land Use, Land Cover and Fire. In: Remote Sensing Time SeriesRemote Sensing and Digital Image Processing, 22Seiten, 203-23.
  • Oppelt, N.; Scheiber, R.; Gege, P.; Wegmann, M.; Taubenboeck, H.; Michael, B. (2015): Chapter 2: Fundamentals of Remote Sensing for Terrestrial Applications: Evolution, Current State of the Art, and Future Possibilities. In: Remotely sensing handbook. Volume I
  • Fritsch, S.; Conrad, C.; Dürbeck, T. (2015): Mapping marginal land in Khorezm using GIS and remote sensing techniques. In: Restructuring land allocation, water use and agricultural value chains Technologies, policies and practices for the lower Amudarya regionSeiten, 167-78.
2013[ to top ]
  • Lex, S.; Conrad, C.; Schorcht, G. (2013): Analyzing the seasonal relations between in situ fpar / LAI of cotton and spectral information of RapidEye. In: 5th RapidEye Science Archive RESA - From the Basics to the Service, Edited by Borg, E., Daedelow, H. and Johnson, R.
  • Forkuor, G.; Conrad, C.; Landmann, T.; Thiel, M. (2013): Improving agricultural land use mapping in West Africa using multi-temporal Landsat and RapidEye data. In: 5th RapidEye Science Archive (RESA) - From the Basics to the Service, Edited by Borg, E., Daedelow, H. and Johnson, R.Seiten, 57-72.
  • Kuenzer, C.; Guo, H.; Ottinger, M.; Dech, S. (2013): Spaceborne Thermal Infrared Observation - An Overview of Most Frequently Used Sensors for Applied Research. In: Thermal Infrared Remote Sensing – Sensors, Methods, Applications. Remote Sensing and Digital Image Processing SeriesThermal Infrared Remote Sensing – Sensors, Methods, Applications. Remote Sensing and Digital Image Processing Series, 131-48.
2012[ to top ]
  • Feilhauer, H.; Stenzel, S.; Kübert, C.; Metz, A.; Conrad, C.; Ehlers, M.; Esch, T.; Klein, D.; Oldenburg, C.; Reinartz, P.; Schmidtlein, S. (2012): RapidEye im Projekt MSAVE - Multisaisonale Fernerkundung für das Vegetationsmonitoring
  • Löw, F.; Navratil, P.; Bubenzer, O. (2012): Landscape Dynamics in the Southern Aralkum Desert - Using MODIS Time Series for Land Cover Change Analysishg. von S.-W. Breckle, L. Wucherer, L. Dimeyeva, und N.P. Ogar, Aralkum - A Man-made Desert: The Desiccated Floor of the Aral Sea Central Asia. Ecological Studies Series, 218. Springer
  • Conrad, C.; Fritsch, S.; Lex, S.; Löw, F.; Rücker, G.; Schorcht, G.; Sultanov, M.; Lamers, J. (2012): Potenziale des Red Edge Kanals von RapidEye zur Unterscheidung und zum Monitoring landwirtschaftlicher Anbaufrüchte am Beispiel des usbekischen Bewässerungssystems Khorezm
  • Tischbein, B.; Awan, U.; Abdullaev, I.; Bobojonov, I.; Conrad, C.; Jabborov, H.; Forkutsa, I.; Ibrakhimov, M.; Poluasheva, G. (2012): Water management in Khorezm: current situation and options for improvement (hydrological perspective). In: Cotton, water, salts and soums - economic and ecological restructuring in Khorezm, UzbekistanSeiten, 69-92.
  • Conrad, C.; Schorcht, G.; Tischbein, B.; Davletov, S.; Sultonov, M.; Lamers, J. (2012): Agro-meteorological trends of recent climate development in Khorezm and implications for crop production. In: Cotton, water, salts and soums - economic and ecological restructuring in Khorezm, Uzbekistan.Seiten, 25-36.
  • Maaß, U.; Schwab, A.; Fritsch, S. (2012): Einstufung der Spätfrostgefährdung von Weinbaulagen in Franken - Möglichkeiten geografischer Informationssysteme (GIS) und Fernerkundung. In: Deutsches Weinbau-Jahrbuch 2013, 113-18.
  • Ruecker, G.; Conrad, C.; Ibragimov, N.; Kienzler, K.; Ibrakhimov, M.; Martius, C.; Lamers, J. (2012): Spatial distribution of cotton yield and its relationship to environmental, irrigation infrastructure and water management factors on a regional scale in Khorezm, Uzbekistan. In: Cotton, water, salts and soums - economic and ecological restructuring in Khorezm, Uzbekistan.Seiten, 59-68.
2011[ to top ]
  • Fritsch, S.; Conrad, C.; Dech, S. (2011): Einsatz multitemporaler RapidEye-Daten zur feldbasierten Ableitung von FPAR und Landnutzung in einer zentralasiatischen Bewässerungsregion. In: RapidEye Science Archive (RESA) - Erste Ergebnisse. RESA Workshop, 89-99.
2010[ to top ]
  • Naeimi, V.; Wagner, W. (2010): C-band Scatterometers and Their Applications. In: Geoscience and Remote Sensing New Achievements
  • Wegmann, M.; Machwitz, M.; Schmidt, M.; Dech, S. (2010): Fragmentation of rain forest - endangering biodiversity. In: Biodiversity Atlas of West Africa, Volume II: Burkina FasoSeiten, 86-91.
2009[ to top ]
  • Conrad, C.; Rücker, G.; Mund, J.-P.; Schmidt, M.; Mehl, H. (2009): Beiträge der Satellitenfernerkundung für ein nachhaltiges und grenzüberschreitendes Wassermanagement in Zentralasien. In: Studien zum Internationalen Umweltmanagement
  • Esch, T.; Taubenböck, H.; Heldens, W.; Thiel, M.; Wurm, M.; Klein, D.; Dech, S.; Roth, A.; Schmidt, M. (2009): Monitoring and assessment of urban environments using space-borne earth observation data - selected applications. In: Urban and Regional Data ManagementSeiten, 385-98.
  • Giriraj, A.; Joshi, P. K.; Babar, S.; Wegmann, M.; Conrad, C.; Sudhakar, S.; Beierkuhnlein, C. (2009): Systematic Assessment of Forest Cover Change and Forest Fragmentation in Indian Sub-Continent using Multi-Scale Satellite Remote Sensing Inputs. In: Geoinformatics for Natural Resource Management
2003[ to top ]
  • Esch, T.; Roth, A.; Strunz, G.; Dech, S. (2003): Object-oriented classification of Landsat-7 data for regional planning purposes. In: Remote Sensing of Urban AreasSeiten, 50-55.

2022[ to top ]
  • Ouattara, B.; Thiel, M.; Forkuor, G.; Sponholz, B.; Paeth, H.; Kuenzer, C.; Schönbrodt-Stitt, S.; Hill, S. (2022): Water use with cloud computing: prospective for food and water security in smallholder irrigation schemes
  • Bell, A.; Schönbrodt-Stitt, S.; Thiel, M.; Neya, O.; Klein, D. (2022): Status-quo of selected nationally determined contributions using spaceborne remote sensing – the case of West Africa
  • Philipp, M.; Dietz, A.; Ullmann, T.; Kuenzer, C. (2022): Towards the global Quantification of Permafrost Loss along Arctic Coasts. In: ESA Living Planet Symposium 2022
2021[ to top ]
  • Romano, N.; Allocca, C.; Stellato, L.; Schönbrodt-Stitt, S.; Bogena, H.; Nasta, P. (2021): The Alento hydrological observatory: An advanced open-air laboratory to evaluate the impact of anthropogenic disturbances on ecosystem services in a Mediterranean catchment
  • Taghavi Bayat, A.; Schönbrodt-Stitt, S.; Nasta, P.; Ahmadian, N.; Conrad, C.; Bogena, H. R.; Vereecken, H.; Jakobi, J.; Baatz, R.; Romano, N. (2021): High-resolution near-surface soil moisture through the combination of Sentinel-1 and Cosmic-Ray Neutron Probe in a Mediterranean agroforestry
2020[ to top ]
  • Conrad, C.; Usman, M.; Morper-Busch, L.; Schönbrodt-Stitt, S. (2020): Geoinformation technology for increasing the sustainability of agricultural production and water security in the Aral Sea Basin. In: Egu2020-21570Egu2020-21570
  • Taghavi Bayat, A.; Schönbrodt-Stitt, S.; Nasta, P.; Ahmadian, N.; Conrad, C.; Bogena, H. R.; Vereecken, H.; Jakobi, J.; Baatz, R.; Romano, N. (2020): Mapping near-surface soil moisture in a Mediterranean agroforestry ecosystem using Cosmic-Ray Neutron Probe and Sentinel-1 Data
  • Nußbaum, P.; Somogyvári, M.; Bresinsky, L.; Löw, J.; Schönbrodt-Stitt, S.; Sauter, M.; Conrad, C.; Engelhardt, I. (2020): Vulnerability assessment of karst aquifers under Mediterranean climates. In: EGU General Assembly Conference Abstracts
2019[ to top ]
  • Schönbrodt-Stitt, S.; Nasta, P.; Kurtenbach, M.; Ahmadian, N.; Romano, N.; Conrad, C. (2019): Framework for a near-surface soil sampling survey and C-band SAR-based soil moisture mapping in the Alento terrestrial observatory, South ItalySeite, 1.
  • Weber, F. A.; Finogenova, N.; Berger, M.; Usman, M.; Schulze, J.; Schalter, L.; Tischbein, B.; Bolle, B. (2019): BMBF-InoCottonGROW Beitrag zum politischen Prozess zur Umsetzung der UN-Nachhaltigkeitsziele, insbesondere SDG 6
  • Nasta, P.; Schönbrodt-Stitt, S.; Kurtenbach, M.; Ahmadian, N.; Conrad, C.; Romano, N.; Bogena, H. R.; Vereecken, H. (2019): Integrating ground-based and remote sensing-based monitoring of near-surface soil moisture in a Mediterranean environment
2018[ to top ]
  • Ibrakhimov, M.; Sultanov, M.; Conrad, C.; Lamers, J. (2018): Combining remote sensing and hydrological modeling for assessing the dynamics of soil salinity in the Aral Sea Basin
  • Kenjabaev, S.; Degtyareva, O.; Sultanov, M.; Thiel, M.; Conrad, C. (2018): Monitoring biophysical parameters of irrigated rice production in the lowlands of the Aral Sea Basin from space
  • Bauer, C.; Löw, F.; Klein, D.; Conrad, C. (2018): Detecting spatio-temporal patterns of land abandonment in the lower region of the Amu Darya and Syr Darya Rivers using earth observation data
  • Sultanov, M.; Conrad, C.; Bauer, C.; Thiel, M.; Ibrakhimov, M. (2018): Remote sensing of soil salinity levels in irrigated cotton production systems in the Aral Sea Basin
  • Borg, E.; Conrad, C.; Truckenbrodt, S.; H{\"u}ttich, C.; Ahmadian, N.; Dahms, T.; Heupel, K.; Spengler, D.; Missling, K.-D. (2018): Joint Experiment for Crop Assessment and Monitoring (JECAM) - Test Site DEMMIN 2018. In: International Geoscience and Remote Sensing Symposium, IGARSS 2018, the 38th annual symposium
  • Spengler, D.; Ahmadian, N.; Borg, E.; Harfenmeister, K.; Hohmann, C.; H{\"u}ttich, C.; Itzerott, S.; Maass, H.; Missling, K.-D.; Schmullius, C.; Truckenbrodt, S.; Conrad, C. (2018): The German JECAM site DEMMIN: status and future perspectives. In: Annual JECAM Meeting
  • Conrad, C. (2018): Wenig Boden, knappes Wasser und viel Salz - Herausforderung Ern{\"a}hrungssicherung in der Aralsee Region. In: Vortragsreihe 2018: Boden und Ern{\"a}hrung - Die Grundlagen unseres Daseins
  • Usman, M.; Conrad, C. (2018): Innovative Impulses Reducing the Water Footprint of the Global Cotton-Textile Industry towards the UN-Sustainable Development Goals
  • Conrad, C.; Lamers, J. P.; Muratova, N.; Dukhovny, V. (2018): Modeling, GIS, and Remote Sensing for Discussion Support in Irrigated Land Management in the inner Aral Sea Basin
  • Spengler, D.; Conrad, C.; Beyrich, F.; B{\"o}ttcher, F.; Borg, E.; Harfenmeister, K.; Hohmann, C.; Itzerott, S. (2018): Etablierung des Cal/Val-Standorts DEMMIN als internationales Testgebiet f{\"u}r fernerkundliche Methodenentwicklung.. In: GFZ/DWD Austauschtreffen 2018
  • Usman, M.; Conrad, C. (2018): Remote Sensing for supporting water footprint analysis of cotton production chain
  • Conrad, C.; Dokhovny, V.; Schönbrodt-Stitt, S. (2018): Remote sensing and GIS for regional land and water management in Central Asia: Lessons learnt and a call for viable cooperationSeite, 112.
  • Degtyareva, O.; Löw, F.; Conrad, C.; Thiel, M.; Muratova, N. (2018): Tapping the potential of Landsat archives for the monitoring of irrigated land use development in the lower Syr Darya catchment, Kazakhstan, 1984-2016.
  • Becker, R.; Koppa, A.; aud der Beek, T.; Sculz, S.; Usman, M.; Schüth, C. (2018): Using remote sensing derived evapotranspiration data to calibrate a distributed hydrological SWAT model in the semi-arid Punjab region of Pakistan
  • Netzband, M.; Dukhovny, V.; Kenjabaev, S.; Morper-Busch, L.; Muminov, S.; Schönbrodt-Stitt, S.; Schorcht, G.; Solodky, G.; Sorokin, A.; Sorokin, D.; Stulina, G.; Conrad, C. (2018): Indicator-based assessment of the complex state of water use in the Aral Sea Basin. In: International Symposium on Water and Land Resources in Central AsiaSeiten, 57-58.
  • Conrad, C.; Ahmadian, N.; Borg, E.; Gl{\"a}{\ss}er, C.; Hohmann, C.; H{\"u}ttich, C.; Itzerott, S.; Maass, H.; Missling, K.-D.; Schmullius, C.; Truckenbrodt, S.; Spengler, D. (2018): In situ Messungen f{\"u}r ein fernerkundungsbasiertes landwirtschaftliches Monitoring: Status-Update f{\"u}r die norddeutsche JECAM-Site DEMMIN. In: Symposium "Neue Perspektiven der Erdbeobachtung"
2017[ to top ]
  • Dimov, D.; L{\"o}w, F.; Ibrakhimov, M.; Sch{\"o}nbrodt-Stitt, S.; Conrad, C. (2017): Feature extraction and machine learning for the classification of active cropland in the Aral Sea Basin. In: 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)Seiten, 1-4.
  • Batsaikhan, A.; Conrad, C.; Asam, S.; Klein, D. (2017): Analyzing the impact of snowmelt timing on grassland green-up dates in the European Alps using webcams. In: Japan Society of Photogrammetry and Remote Sensing (JSPRS) Fall Conference 2017
  • Kumar-Babu, D.; Kaufmann, C.; Schmidt, M.; Dahms, T.; Conrad, C. (2017): Semi-Autonomous Remote Sensing Time Series Generation Tool. In: Spie Digital LibrarySeiten, 1-16.
  • Kenjabaev, S.; Sultanov, M.; Bauer, C. (2017): Assessment of the land reclamation condition using environmental variables in Ellikkala district, Karakalpakistan. In: Tropentag 2017
  • Morper-Busch, L.; Dimov, D.; Toshpulatov, R.; Sch{\"o}nbrodt-Stitt, S.; Conrad, C. (2017): WUEMoCA Open-source WebGIS zur Wassernutzungseffizienz in Zentralasien. In: Deutscher Kongress f{\"u}r Geographie 2017
  • Batsaikhan, A.; Asam, S.; Klein, D.; Conrad, C. (2017): Monitoring grassland phenology on an Alpine transect using webcams. In: Virtual Alpine Observatory (VAO) Symposium 2017
  • K{\"o}lzsch, A.; Leutner, B.; Safi, K.; Wegmann, M.; Dech, S.; Wikelski, M. (2017): Habitat use during spring migration: Remote sensing meets movement ecology. In: 6th International Bio-Logging Science Symposium
  • Dimov, D.; Löw, F.; Ibrakhimov, M.; Schönbrodt-Stitt, S.; Conrad, C. (2017): Feature Extraction and Machine Learning for the Classification of Active Cropland in the Aral Sea Basin. In: IEEE International Geoscience and Remote Sensing Symposium
  • Bauer, C.; L{\"o}w, F.; Klein, D.; Conrad, C. (2017): Raum-zeitliche Dynamik der agrarischen Landaufgabe in Bew{\"a}sserungsgebieten am Amu-Darya. In: Dkg 2017
  • Dimov, D.; L{\"o}w, F.; Ibrakhimov, M.; Stulina, G.; Conrad, C. (2017): SAR and optical time series for crop classification. In: 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)Seiten, 1-4.
  • Leutner, B.; K{\"o}lzsch, A.; Wegmann, M.; Safi, K.; Wikelski, M.; Dech, S. (2017): Habitat use of migratory birds: movement ecology meets remote sensing. In: 37th International Symposium on Remote Sensing of Environment
  • Dimov, D.; Morper-Busch, L.; Schönbrodt-Stitt, S.; Conrad, C. (2017): From remote sensing to web mapping - integrated geoinformation for land use monitoring in Central Asia. In: UFZ & DLR: Workshop on Earth Observation Data
  • Bauer, C.; Thiel, M.; L{\"o}w, F.; Klein, D.; Conrad, C. (2017): Spatio-Temporal Patterns of Land Abandonment in the Lower Region of Amu Darya River. In: Tropentag 2017
  • Dahms, T.; Babu, D.; Borg, E.; Schmidt, M. (2017): Derivation of biophysical parameters from fused remote sensing data
  • Stumpf, F.; Goebes, P.; Schmidt, K.; Schindewolf, M.; Sch{\"o}nbrodt-Stitt, S.; Wadoux, A.; Xiang, W.; Scholten, T. (2017): Sediment reallocations due to erosive rainfall events in the Three Gorges Reservoir Area, China
  • Could not create valid date with year=2017, month=00, day=2017.
  • Sch{\"o}nbrodt-Stitt, S.; Conrad, C.; Dukhovny, V.; Morper-Busch, L.; Dimov, D.; Schorcht, G.; Toshpulatov, R.; Zaitov, S. (2017): A new Tool for Monitoring the Irrigated Cropland Use and Water Use Efficiency in the Amudarya River Basin. In: Use of Non-conventional Agricultural Water Resources to Strengthen Water and Food Security in Transboundary Watersheds of the Amudarya River Basin
  • Kumar-Babu, D.; Kaufmann, C.; Schmidt, M.; Dahms, T.; Conrad, C. (2017): Autonomous Time Series Generation of High Spatial Resolution Images - A Feasibility Study. In: 68th International Astronautical Congress IACSeiten, 1-7.
  • Remelgado, R.; Wegmann, M. (2017): Towards Behavior Dependent Species Distribution Modeling. In: 37th International Symposium of Remote Sensing of EnvironmentSeite, 473.
  • Knöfel, P.; Dahms, T.; Borg, E.; Conrad, C. (2017): Classification of agricultural land use and derivation of biophysical parameter using SAR and optical data. In: Digitale Transformation – Wege in eine zukunftsfähige Landwirtschaft, Lecture Notes in Informatics (LNI)
  • M{\"o}ller, M.; Gerstmann, H.; Dahms, T. (2017): Phenological NDVI time series for the dynamic derivation of soil coverage information. In: IgarssSeiten, 1-4.
  • Sch{\"o}nbrodt-Stitt, S.; Conrad, C.; Unger-Shayesteh, K.; Gafurov, A.; Gerlitz, L. (2017): Earth Observation within CAWa Project for Water Management in Central Asia. In: ISTC Scientific Advisory Committee (SAC) Seminar - Water Management in Central Asia and the Caucasus for agricultural, industrial and urban applications
  • Gläßer, C.; Gerstmann, H.; Conrad, C.; Knöfel, P. (2017): Optimization of multi-temporal Land Use Classification by Integration of Phenological time frames. In: 2017 9th International Workshop on the Analysis of Multitemporal Remote Sensing Images (MultiTemp)Seiten, 1-3.
  • Dimov, D.; Löw, F.; Ibrakhimov, M.; Stulina, G.; Conrad, C. (2017): SAR and Optical Time Series for Crop Classification. In: IEEE International Geoscience and Remote Sensing Symposium
  • Sch{\"o}nbrodt-Stitt, S.; Dimov, D.; Morper-Busch, L.; Unger-Shayesteh, K.; Conrad, C. (2017): Open-source Monitoring und Wissen f{\"u}r ein Regional Nachhaltiges Wassermanagement in Zentralasien. In: Deutscher Kongress f{\"u}r Geographie 2017
2016[ to top ]
  • Kübert, C. (2016): Forschung aus dem All - Das Potenzial der Fernerkundung. In: Vortragsreihe des Naturwissenschaftlichen Vereins Würzburg e.V.
  • Knöfel, P.; Dimov, D.; Schönbrodt-Stitt, S.; Conrad, C. (2016): Estimation of actual evapotranspiration to derive irrigation efficiency indicators in the Aral Sea Basin, Central Asia. In: AK Fernerkundung
  • Knöfel, P.; Spengler, D.; Conrad, C. (2016): Phänologische Strukturierung von zeitlich hochauflösenden Sentinel-2-Datensätzen zur Optimierung von Landnutzungsklassifikationen. In: Kickoff-Veranstaltung "EO4GEOSS"
  • Hill, S.; Latifi, H.; Heurich, M.; Müller, J. (2016): LiDAR-gestützte Erfassung von einzelbaum- und bestandsbasierter Waldentwicklung nach natürlichen Störungsprozessen. In: FowiTa - Forstwirtschaftliche TagungSeite, 123.
  • Conrad, C.; Schönbrodt-Stitt, S.; Abdullaev, I.; Dimo, D.; Ibrakhimov, M.; Knöfel, P.; Leinich, M.; Morper-Busch, L.; Schorcht, G.; Solodoky, G.; Sorokin, A.; Sorokin, D.; Stulina, G.; Toshpulatov, R.; Unger-Shayesteh, K.; Zaitov, S.; Dukhovny, V. (2016): Remote Sensing and GIS for Supporting the Agricultural Use of Land and Water Resources in the Aral Sea Basin. In: Water Resources of Central Asia and their Use - Materials to the International Scientific-Practical Conference devoted to the summing-up of the "Water for Life" decade declared by the United Nations
  • Batsaikhan, A.; Conrad, C.; Klein, D.; Asam, S. (2016): Analyzing phenology of grassland along a transect through altitudinal zones using remote sensing. In: 5. gemeinsame Jahrestagung der Arbeitskreise „Fernerkundung“ (DGfG) und „Auswertung von Fernerkundungsdaten“ (DGPF)
  • Wegmann, M. (2016): Remote Sensing in Ecology and Conservation. In: Institute for Zoo and Wildlife Research
  • Kumar Babu, D.; Schmidt, M.; Dahms, T.; Conrad, C. (2016): Impact on quality and processing time due to change in pre-processing operation sequence on moderate resolution satellite images. In: 67th International Astronautical Congress
  • Latifi, H. (2016): Remote sensing-assisted monitoring of bark beetle-induced tree mortality. In: Comprehensive monitoring of stand dynamics in Bialowieza forest supported with remote sensing
  • Knöfel, P.; Uslar, J. von; Conrad, C. (2016): Einfluss stratifizierter Probennahme auf die Genauigkeit multitemporaler objektbasierter Landnutzungsklassifikation. In: 8. RESA Workshop
  • Künzer, C.; Wegmann, M.; Dech, S. (2016): Langzeit-Erdbeobachtungsdaten für die Analyse globaler Veränderungen. In: Leopoldina Symposium Erdbeobachtung durch Tiere – Chancen und Perspektiven
  • Remelgado, R.; Wegmann, M.; Kamran, S. (2016): Remote Sensing in Movement Ecology: Scale Dependencies of Space Use. In: Living Planet Symposium - Europen Space Agency (ESA)
  • Ottinger, M.; Clauss, K.; Quoc, T. V.; Künzer, C. (2016): Assessment of coastal aquaculture ponds in Asia with high resolution SAR data. In: 36th EARSeL Symposium
  • Clauss, K.; Mack, B.; Dech, S.; Künzer, C. (2016): Mapping paddy rice in Asia: a multi-sensor, time-series approach. In: 36th EARSeL Symposium 2016
  • Dahms, T.; Seissiger, S.; Conrad, C.; Borg, E. (2016): Modelling Biophysical Parameters Of Maize Using Landsat 8 Time Series. In: ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 171-75.
  • Abdel-Rahman, E.; Kyalo, R.; Landmann, T.; Thiel, M.; Nyasani Le Ru B., J. (2016): Maize pest and diseas mapping using RapidEye-based vegetation indices and machine learning methods. In: Aarse 2016
  • Heiden, U.; Holzwarth, S.; Pinnel, N.; Reichmuth, A.; Raczko, E.; Heurich, M.; Müller, J.; Wang, Z.; Skidmore, A.; Ali, A.; Wang, T.; Darvishzadeh, R.; Wegmann, M. (2016): Laboratory for Essential Biodiversity Variables (EBV) Concepts – The “Data Pool Initiative for the Bohemian Forest Ecosystem”. In: Living Planet Symposium 2016
  • Bolkart, M.; Dahms, T.; Conrad, C.; Latchininsky, A. F.; Löw, F. (2016): Mapping and Monitoring Locust Habitats in the Aral Sea Region based on Satellite Earth Observation Data. In: 12th International Congress of Orthopterology
  • Knöfel, P.; Spengler, D.; Conrad, C.; Borg, E. (2016): GLAM.DE - Global Agricultural Monitoring – The German Contribution. In: Joint workshop for JECAM/Sen2Agri/Sigma projects
  • Dimov, D.; Kuhn, J.; Conrad, C. (2016): Assessment Of Cropping System Diversity In The Fergana Valley Through Image Fusion Of Landsat 8 And Sentinel-1. In: ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 173-80.
  • Dahms, T.; Seissiger, S.; Borg, E.; Hans-Hermann, V.; Fichtelmann, B.; Conrad, C. (2016): Important Variables Modelling Biophysical Vegetation Parameters On Winter Wheat. In: 5 gemeinsame Jahrestagung der Arbeitskreise „Fernerkundung“ (DGfG) und „Auswertung von Fernerkundungsdaten“ (DGPF)
  • Wegmann, M. (2016): Moving remote sensing towards application. In: Space – the final frontier for biodiversity monitoring
  • Thiel, M.; Forkuor, G.; Narvaez Vallejo, A.; Dech, S. (2016): Identification of crop rotation systems in the Sudanian Savanna Zone in West Africa utilizing a multisensor approach. In: SPIE Remote Sensing
  • Wegmann, M. (2016): Remote sensing in ecology and conservation. In: ESA Living Planet Symposium
  • Kyalo, R.; Landmann, T.; Abdel-Rahman, E.; Subramanian, S.; Nyasani, J.; Thiel, M.; Jozani, H. (2016): The use of RapidEye observations to map cropping systems in highly fragmented agro-ecological landscapes in Africa. In: 36th EARSeL Symposium
2015[ to top ]
  • Asam, S.; Klein, D.; Dech, S. (2015): Estimation of grassland use intensities based on high spatial resolution LAI time series. In: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 285-91.
  • Knöfel, P.; Löw, F.; Gerstmann, H.; Möller, M.; Xu, X.; Conrad, C. (2015): Introduction of a multifunctional tool for the evaluation of uncertainty and accuracy in multitemporal object-based land use classification. In: SPIE Remote Sensing Conference
  • Gessner, U.; Knauer, K.; Künzer, C. (2015): Tree cover patterns and changes in the West Sudanian Savanna and observed socio-economic impacts. In: 36th International Symposium on Remote Sensing of Environment
  • Atlaskin, E.; Nurmi, P.; Dimov, D. (2015): Final outcome of fotsis project: intelligent road weather & gis services for end-users. In: 22nd ITS World Congress
  • Knöfel, P.; Löw, F.; Conrad, C. (2015): Object-Based Land Use Classification of Agricultural Land by Coupling Multi-Temporal Spectral Characteristics and Phenological Events in Germany. In: European Geosciences Union General Assembly 2015
  • Knöfel, P.; Conrad, C. (2015): Introduction of a modified soil heat flux approach and its potential for improving remote sensing based surface energy balance. In: Third Space for Hydrology Workshop
  • Knauer, K.; Gessner, U.; Dech, S.; Künzer, C. (2015): Remote sensing of vegetation dynamics in West Africa: Improved satellite time series for phenological analyses. In: 36th International Symposium on Remote Sensing of Environment
  • Kleemann, J.; Inkoom, J. N.; Thiel, M.; Fürst, C. (2015): Regional differentiation in land use patterns and ist implication fo integrated land use planning in Ghana. In: IUFROLE WG Conference
  • Künzer, C.; Leinenkugel, P.; Huth, J.; Ottinger, M.; Renaud, F.; Foufoula-Georgiou, E.; Khac, T. V.; Thi, L. T.; Dech, S.; Koch, P.; Tissier, M. L. (2015): The Potential of Time Series Based Earth Observation for the Monitoring of Large River Deltas. In: AGU Fall Meeting 2015
  • Gessner, U.; Klein, I.; Knauer, K.; Arnault, J.; Bliefernicht, J.; Künzer, C. (2015): Earth observation based analyses of land-use dynamics in West Africa. In: Dresden Nexus Conference 2015
  • Holzwarth, S.; Heiden, U.; Reichmuth, A.; Pinnel, N. (2015): Identifying Tree Species in the Bavarian Forest National Park. In: Workshop on hyperspectral imaging and LiDAR
  • Dahms, T.; Lex, S.; Zellner, P.; Fritsch, S.; Schmidt, M.; Conrad, C. (2015): Techs4Times - innovative techniques for the generation and evaluation of Sentinel time series. In: DLR-SentinelWorkshop - Nutzung der Sentinels und nationalen Erdbeobachtungs-Missionen
  • Knöfel, P.; Löw, F.; Möller, M.; Conrad, C. (2015): Evaluation of Uncertainty and Accuracy in Multi-Temporal Object-Based Land Use Classification. In: 36th International Symposium on Remote Sensing of Environment
  • Kübert, C.; Conrad, C.; Klein, D.; Dech, S. (2015): Deriving phenological layers for Germany from remote sensing data: spatio-temporal analysis and validity. In: Phenology 2015 - Challenges in PhenologySeite, 72.
  • Bauer, C.; Löw, F.; Conrad, C. (2014): Explaining and assessing the spatial and temporal patterns of low productivity arable land and land abandonment - using satellite observation and socioeconomic data of the irrigated lowlands of Central Asia. In: Stadt Land Schaf(f)t – Land Schaf(f)t Stadt
  • v. Uslar, J.; Knöfel, P.; Conrad, C. (2015): Influence of Different Stratified Sampling Methods on the Accuracy of Multi-Temporal Object-Based Crop Mapping. In: AK Fernerkundung
  • Latifi, H.; Heurich, M.; Hartig, F.; Müller, J.; Krzystek, P.; H, J.; Dech, S. (2015): Crown density of over- and understory in mixed forest stands as explained by airborne LiDAR metrics. In: The 36th International Symposium on Remote Sensing of Environment
  • Bauer, C.; Löw, F.; Conrad, C. (2014): Explaining and assessing the spatial and temporal patterns of low productivity arable land and land abandonment - using satellite observation and socioeconomic data of the irrigated lowlands of Central Asia. In: Modern problems of hydrogeology, engineering geology, geoecology and ways of their solutions
  • Immitzer, M.; Einzmann, K.; B{\"o}ck, S.; Mattiuzzi, M.; Ng, W. T.; Wallner, A.; Pinnel, N.; Reichmuth, A.; Frost, M.; M{\"u}ller, A.; Seitz, R.; Atzberger, C. (2015): Erstellung von Fichten- und Kiefernanteilskarten auf Basis von Satellitendaten f{\"u}r Bayern. In: Der gepixelte Wald - ReloadedForstliche Forschungsberichte, 19-32.
  • Löw, F.; Bauer, C.; Conrad, C.; Lamers, J.; Dukhovny, V.; Stulina, G.; Kenjabaev, S.; Muratova, N.; Ibrakhimov, H.; Salnikov, V. (2015): The LaVaCCA Project. In: Geography, Culture and Society for Our Future Earth
  • Knöfel, P.; Conrad, C. (2015): Evaluation of a Modified SEBAL Algorithm to Estimate Actual Evapotranspiration in Cotton Ecosystems of Central Asia using Microwave and Optical Remote Sensing Data. In: European Geosciences Union General Assembly 2015