Publications

• Lemoine-Rodríguez, R.; Vieyra, A.; MacGregor-Fors, I. (2025): Connection beyond borders: exploring sense of belonging across urban satellites conurbed by a medium-sized Mexican city. In: Urban Ecosystems, 28 (1), 1-14.

• Song, J.; Betz, F.; Aishan, T.; Halik, Ümüt; Abliz, A. (2024): Impact of water supply on the restoration of the severely damaged riparian plants along the Tarim River in Xinjiang, Northwest China. In: Ecological Indicators, 158, 111570.
• Rieder, J. S.; Link, R. M.; Köthe, K.; Seidel, D.; Ullmann, T.; Žmegač, A.; Zang, C.; Schuldt, B. (2024): TreeCompR: Tree competition indices for inventory data and 3D point clouds. In: Methods in Ecology and Evolution
• Fäth, J.; Kneisel, C. (2024): Multi-method soil moisture monitoring at two temperate forest stands in Germany. In: Discover Applied Sciences, 6 (573)
• {Aida Taghavi-Bayat, T. U.; Gerke, M. (2024): Detecting soil freeze-thaw dynamics with C-band SAR over permafrost in Northern Sweden and seasonally frozen grounds in the Tibetan Plateau, China. In: International Journal of Remote Sensing, 45 (16), 5317-58.
• Lisovski, S.; Hoye, B. J.; Conklin, J. R.; Battley, P. F.; Fuller, R. A.; Gosbell, K. B.; Klaassen, M.; Lee, C. B.; Murray, N. J.; Bauer, S. (2024): Predicting resilience of migratory birds to environmental change. In: Proceedings of the National Academy of Sciences, 121 (19), e2311146121.
• Chakraborty, S.; Novotný, J.; Maity, I.; Lemoine-Rodríguez, R.; Follmann, A. (2024): Same planet but different worlds! Diverging convergence pattern of urban form typologies across 413 cities with million+ inhabitants and their sustainability trade-offs ☆. In: Habitat International, 145, 103024.
• Rösch, M.; Nolde, M.; Ullmann, T.; Riedlinger, T. (2024): Data-Driven Wildfire Spread Modeling of European Wildfires Using a Spatiotemporal Graph Neural Network. In: Fire, 7 (6)
• Droin, A.; Wurm, M.; Weigand, M.; Gawlas, C.; Köberl, M.; Taubenböck, H. (2024): How does pedestrian permeability vary in and across cities? A fine-grained assessment for all large cities in Germany. In: Computers, Environment and Urban Systems, 110, 102115.
• Buchelt, S.; Kunz, J.; Wiegand, T.; Kneisel, C. (2024): Dynamics and internal structure of a rock glacier: Inferring relationships from the combined use of differential synthetic aperture radar interferometry, electrical resistivity tomography and ground-penetrating radar. In: Earth Surface Processes and Landforms, 49 (14), 4743-58.
• Gilardi, L.; Erbertseder, T.; Baier, F.; Paeth, H.; Ullmann, T.; Taubenböck, H. (2024): The Influence of Commuting on Population Exposure to Air Pollution: Toward Global Application With a Proxy on the Degree of Urbanization. In: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 17, 12720-30.
• Löw, J.; Hill, S.; Otte, I.; Thiel, M.; Ullmann, T.; Conrad, C. (2024): How Phenology Shapes Crop-Specific Sentinel-1 PolSAR Features and InSAR Coherence across Multiple Years and Orbits. In: Remote Sensing, 16 (2791), 26.
• Lemoine-Rodríguez, R.; García-Arroyo, M.; Gómez-Martínez, M. A.; Back, M.; Lindeman, T.; MacGregor-Fors, I. (2024): Unveiling urban ecological integrity: spatially explicit assessment in contrasting environments. In: Urban Ecosystems
• Aishan, T.; Jiang, W.; Cheng, Q.; Halik, Ümüt; Betz, F.; Yusup, A. (2024): Quantitative diagnosis of internal wood damage in living trees and its relationship with soil physicochemical properties: The case of an endangered desert riparian forest in Xinjiang, NW China. In: Forest Ecology and Management, 561, 121880.
• Friedrich, C.; Löw, J.; Otte, I.; Hill, S.; Förtsch, S.; Schwalb-Willmann, J.; Gessner, U.; Schierghofer, C.; Truckenbrodt, S.; Schonert, E.; Piernicke, T.; Assmann, D.; Conrad, C.; Thiel, M. (2024): A multi-talented datacube: integrating, processing and presenting big geodata for the agricultural end user
• Ezeh, C.; Adjei, K.; Schönbrodt-Stitt, S.; Igwe, O.; Asaré, M.; K., P. (2024): Scale-Related Variations in Soil Loss and Validation of the RUSLE Model in Anambra State, Nigeria. In: Eurasian Soil Science
• Torresani, M.; Rossi, C.; Perrone, M.; Hauser, L. T.; Féret, J.-B.; Moudrý, V.; Simova, P.; Ricotta, C.; Foody, G. M.; Kacic, P.; Feilhauer, H.; Malavasi, M.; Tognetti, R.; Rocchini, D. (2024): Reviewing the Spectral Variation Hypothesis: Twenty years in the tumultuous sea of biodiversity estimation by remote sensing. In: Ecological Informatics, 82, 102702.
• Aishan, T.; Sun, Y.; Halik, {Ü}m{ü}t; Betz, F.; Yusup, A.; Rezhake, R. (2024): Spatiotemporal changes in fine particulate matter and ozone in the oasis city of Korla, northeastern Tarim Basin of China. In: Scientific Reports, 14 (1), 12904.
• Ouattara, B.; Thiel, M.; Sponholz, B.; Paeth, H.; Yebra, M.; Mouillot, F.; Kacic, P.; Hackman, K. (2024): Enhancing Burned Area Monitoring with VIIRS dataset: A Case Study in Sub-Saharan Africa. In: Science of Remote Sensing, 10 (100165), 19.
• Liepa, A.; Thiel, M.; Taubenböck, H.; Steffan-Dewenter, I.; Abu, I.-O.; Singh Dhillon, M.; Otte, I.; Otim, M. H.; Lutaakome, M.; Meinhof, D.; Poppenborg Martin, E. A.; Ullmann, T. (2024): Harmonized NDVI time-series from Landsat and Sentinel-2 reveal phenological patterns of diverse, small-scale cropping systems in East Africa. In: Remote Sensing Applications: Society and Environment, 35, 101230.
• Lemoine-Rodríguez, R.; Mast, J.; Mühlbauer, M.; Mandery, N.; Biewer, C.; Taubenböck, H. (2024): The voices of the displaced: Mobility and Twitter conversations of migrants of Ukraine in 2022. In: Information Processing & Management, 61 (3), 103670.
• Inostroza, L.; Lemoine-Rodríguez, R. (2024): ¿Es detectable empíricamente la protección normativa del territorio? Análisis de las tendencias de temperatura y vegetación del área norte de Bogotá con sensores remotos. In: Investigaciones Geográficas, (113)
• Kacic, P.; Gessner, U.; Holzwarth, S.; Thonfeld, F.; Kuenzer, C. (2024): Assessing experimental silvicultural treatments enhancing structural complexity in a central European forest – BEAST time‐series analysis based on Sentinel‐1 and Sentinel‐2. In: Remote Sensing in Ecology and Conservation, 10 (4), 531–550.

• Dhillon, M. S.; Dahms, T.; Kuebert-Flock, C.; Rummler, T.; Arnault, J.; Stefan-Dewenter, I.; Ullmann, T. (2023): Integrating random forest and crop modeling improves the crop yield prediction of winter wheat and oil seed rape. In: Frontiers in Remote Sensing, 3
• Taubenböck, H.; Otto, C.; Gülzau, F.; Mau, S. (2023): Border regions across the globe: Analyzing border typologies, economic and political disparities, and development dynamics. In: Applied Geography, 151, 102866.
• Ullmann, T.; Jagdhuber, T.; Hoffmeister, D.; May, S. M.; Baumhauer, R.; Bubenzer, O. (2023): Exploring Sentinel-1 backscatter time series over the Atacama Desert (Chile) for seasonal dynamics of surface soil moisture. In: Remote Sensing of Environment, 285, 113413.
• Baumhoer, C.; Dietz, A.; Heidler, K. (2023): IceLines – A new data set of Antarctic ice shelf front positions.. In: Sci Data, 10
• Torresani, M.; Rocchini, D.; Alberti, A.; Moudrý, V.; Heym, M.; Thouverai, E.; Kacic, P.; Tomelleri, E. (2023): LiDAR GEDI derived tree canopy height heterogeneity reveals patterns of biodiversity in forest ecosystems. In: Ecological Informatics, 102082.
• Latifi, H.; Valbuena, R.; Silva, C. A. (2023): Towards complex applications of active remote sensing for ecology and conservation. In: Methods in Ecology and Evolution, 14 (7), 1578-86.
• Rieder, J. S.; Kneisel, C. (2023): Monitoring spatiotemporal soil moisture variability in the unsaturated zone of a mixed forest using electrical resistivity tomography. In: Vadose Zone Journal
• Droin, A.; Wurm, M.; Taubenböck, H. (2023): The Individual Walkable Neighborhood - Evaluating people-centered spatial units focusing on urban density. In: Computers, Environment and Urban Systems, 99, 101893.
• Dhillon, M. S.; Kübert-Flock, C.; Dahms, T.; Rummler, T.; Arnault, J.; Steffan-Dewenter, I.; Ullmann, T. (2023): Evaluation of MODIS, Landsat 8 and Sentinel-2 Data for Accurate Crop Yield Predictions: A Case Study Using STARFM NDVI in Bavaria, Germany. In: Remote Sensing, 15 (7)
• Senaratne, H.; Mühlbauer, M.; Kiefl, R.; Cárdenas, A.; Prathapan, L.; Riedlinger, T.; Biewer, C.; Taubenböck, H. (2023): The Unseen—An Investigative Analysis of Thematic and Spatial Coverage of News on the Ongoing Refugee Crisis in West Africa.. In: ISPRS Int. J. Geo-Inf., 12
• Zhong, J.; Jiao, L.; Droin, A.; Liu, J.; Lian, X.; Taubenböck, H. (2023): Greener cities cost more green: Examining the impacts of different urban expansion patterns on NPP. In: Building and Environment, 228, 109876.
• Rietz, J.; van Beeck Calkoen, S. T. S.; Ferry, N.; Schl; #xfc; ter, J.; Wehner, H.; Schindlatz, K.-H.; Lackner, T.; #xe1; and #x161; von Hoermann, C.; Conraths, F. J.; M; #xfc; ller, J.; #xf6; rg; Heurich, M. (2023): Drone-Based Thermal Imaging in the Detection of Wildlife Carcasses and Disease Management. In: Transboundary and Emerging Diseases, 2023, 12.
• Holzwarth, S.; Thonfeld, F.; Kacic, P.; Abdullahi, S.; Asam, S.; Coleman, K.; Eisfelder, C.; Gessner, U.; Huth, J.; Kraus, T.; Shatto, C.; Wessel, B.; Kuenzer, C. (2023): Earth-Observation-Based Monitoring of Forests in Germany—Recent Progress and Research Frontiers: A Review. In: Remote Sensing, 15 (17)
• Dhillon, M. S.; Dahms, T.; Kuebert-Flock, C.; Rummler, T.; Arnault, J.; Steffan-Dewenter, I.; Ullmann, T. (2023): Integrating random forest and crop modeling improves the crop yield prediction of winter wheat and oil seed rape. In: Frontiers in Remote Sensing, 3, 1010978.
• Sun, Y.; Aishan, T.; Halik, {Ü}m{ü}t; Betz, F.; Rezhake, R. (2023): Assessment of air quality before and during the COVID-19 and its potential health impacts in an arid oasis city: Urumqi, China. In: Stochastic Environmental Research and Risk Assessment, 37 (4), 1265-79.
• Kanmegne Tamga, D.; Latifi, H.; Ullmann, T.; Baumhauer, R.; Thiel, M.; Bayala, J. (2023): Modelling the spatial distribution of the classification error of remote sensing data in cocoa agroforestry systems. In: Agroforestry Systems, 97 (1), 109-19.
• Betz, F.; Lauermann, M.; Egger, G. (2023): Biogeomorphology from space: Analyzing the dynamic interactions between hydromorphology and vegetation along the Naryn River in Kyrgyzstan based on dense satellite time series. In: Remote Sensing of Environment, 299, 113890.
• Grudzielanek, A. M.; Lemoine-Rodriguez, R.; Glocke, P.; Scholz, T.; Zepp, H. (2023): Cold spots or hot spots Thermal patterns and cold airflow on tailings piles in the Ruhr area. In: Berichte Geographie und Landeskunde, 96 (3), 189-214.
• Schäfer, C.; Fäth, J.; Kneisel, C.; Baumhauer, R.; Ullmann, T. (2023): Multidimensional hydrological modeling of a forested catchment in a German low mountain range using a modular runoff and water balance model. In: Frontiers in Forests and Global Change, 6
• Ouedraogo, V.; Hackman, K. O.; Thiel, M.; Dukiya, J. (2023): Intensity Analysis for Urban Land Use/Land Cover Dynamics Characterization of Ouagadougou and Bobo-Dioulasso in Burkina Faso. In: Land, 12 (1063), 20.
• Salinas Romero, S. G.; Casaccia-Ibarrola, C.; García-Calabrese, M.; Cabral Antúnez, N.; Eufemia, L.; Kacic, P.; Da Ponte, E. (2023): Impacts of national governments on the forest cover loss in Paraguayan Chaco between 1999 and 2021. In: Journal for Nature Conservation, 75, 126472.
• Kacic, P.; Thonfeld, F.; Gessner, U.; Kuenzer, C. (2023): Forest Structure Characterization in Germany: Novel Products and Analysis Based on {GEDI}, Sentinel-1 and Sentinel-2 Data. In: Remote Sensing, 15 (8), 1969.
• Dhillon, M. S.; Dahms, T.; Kübert-Flock, C.; Liepa, A.; Rummler, T.; Arnault, J.; Steffan-Dewenter, I.; Ullmann, T. (2023): Impact of {STARFM} on Crop Yield Predictions: Fusing {MODIS} with Landsat 5, 7, and 8 {NDVIs} in Bavaria Germany. In: Remote Sensing, 15 (6), 1651.
• Bell, A.; Klein, D.; Rieser, J.; Kraus, T.; Thiel, M.; Dech, S. (2023): Scientific Evidence from Space — A Review of Spaceborne Remote Sensing Applications at the Science–Policy Interface. In: Remote Sensing, 2023 (15), 940.
• Klein, I.; Uereyen, S.; Eisfelder, C.; Pankov, V.; Oppelt, N.; Kuenzer, C. (2023): Application of geospatial and remote sensing data to support locust management. In: International Journal of Applied Earth Observation and Geoinformation, 117 (103212), 1-15.
• {Dhillon, M. S.; {Kübert-Flock, C.; {Dahms, T.; {Rummler, T.; {Arnault, J.; {Steffan-Dewenter, I.; {Ullmann, T. }. (2023): Evaluation of MODIS, Landsat 8 and Sentinel-2 Data for Accurate Crop Yield Predictions: A Case Study Using STARFM NDVI in Bavaria, Germanyhg. von Adriaan van Niekerk und Caren Jarmain. In: Remote sensing MDPI, 15 (1830), 35.
• Philipp, M.; Dietz, A.; Ullmann, T.; Kuenzer, C. (2023): A Circum-Arctic Monitoring Framework for Quantifying Annual Erosion Rates of Permafrost Coasts. In: Remote Sensing, 15 (3), 818.

• 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.; Kuenzer, C.; Bachofer, F.; Traidl-Hoffmann, C. (2022): Earth observation for exposome mapping of Germany: analyzing environmental factors relevant to non-communicable diseases. In: International Journal of Applied Earth Observation and Geoinformation, 114, 103084.
• Heider, B.; Mast, J.; Roth, D.; Standfuß, I.; Siedentop, S.; Taubenböck, H. (2022): Dynamics of intra-urban employment geographies: A comparative study of U.S. and German metropolitan areas. In: Journal of Urban Affairs
• 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.
• Rocchini, D.; Santos, M. J.; Ustin, S. L.; Féret, J.-B.; Asner, G. P.; Turner, W.; Vihervaara, P.; Wegmann, M.; Lenoir, J. (2022): The Spectral Species Concept in Living Color. In: Journal of Geophysical Research: Biogeosciences, 127
• Lemoine-Rodríguez, R.; Inostroza, L.; Zepp, H. (2022): Intraurban heterogeneity of space-time land surface temperature trends in six climate-diverse cities. In: Science of The Total Environment, 804, 150037.
• 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.
• 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.
• Dhillon, M. S.; Dahms, T.; Kübert-Flock, C.; Steffan-Dewenter, I.; Zhang, J.; Ullmann, T. (2022): Spatiotemporal Fusion Modelling Using STARFM: Examples of Landsat 8 and Sentinel-2 NDVI in Bavaria. In: Remote Sensing, 14 (3), 677.
• 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.
• 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.
• Kuenzer, C. (2022): A First Assessment of Canopy Cover Loss in Germany’s Forests after the 2018–2020 Drought Years. In: Remote Sensing
• 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)
• 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)
• Ullmann, T.; Möller, E.; Baumhauer, R.; Lange-Athinodorou, E.; Meister, J. (2022): A new Google Earth Engine tool for spaceborne detection of buried palaeogeographical features – examples from the Nile Delta (Egypt). In: E&G Quaternary Science Journal, 71 (2), 243-47.
• 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)
• Kraff, N. J.; Wurm, M.; Taubenböck, H. (2022): Housing forms of poverty in Europe - A categorization based on literature research and satellite imagery. In: Applied Geography, 149, 102820.
• 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)
• 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)
• 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.
• Dong, Y.; Fan, L.; Zhao, J.; Huang, S.; Geiß, C.; Wang, L.; Taubenböck, H. (2022): Mapping of small water bodies with integrated spatial information for time series images of optical remote sensing. In: Journal of Hydrology, 614, 128580.
• 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
• 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.; u. a. (2022): Biological Earth observation with animal sensors. In: Trends in Ecology & Evolution, 37 (4), 293-98.
• 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.
• Betz, F.; Chymyrov, A.; Lauermann, M.; Cyffka, B.; Chontoev, D. (2022): Assessing the Impacts on Natural Ecosystems of the Future Kambarata-1 Hydropower Station on the Naryn River, Kyrgyzstan: A GIS-based Approach. In: GI_Forum, 1, 48–57.
• Lemoine-Rodríguez, R.; Inostroza, L.; Falfán, I.; MacGregor-Fors, I. (2022): Too hot to handle? On the cooling capacity of urban green spaces in a Neotropical Mexican city. In: Urban Forestry & Urban Greening, 74 (October 2021), 127633.
• 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.
• Buchelt, S.; Skov, K.; Rasmussen, K. K.; Ullmann, T. (2022): Sentinel-1 time series for mapping snow cover depletion and timing of snowmelt in {Arctic} periglacial environments: case study from {Zackenberg} and {Kobbefjord}, {Greenland}. In: The Cryosphere, 16 (2), 625-46.
• 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.
• 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.
• Kriese, J.; Hoeser, T.; Asam, S.; Kacic, P.; Ponte, E. D. D.; Gessner, U. (2022): Deep Learning on Synthetic Data Enables the Automatic Identification of Deficient Forested Windbreaks in the Paraguayan Chaco. In: Remote Sensing, 14 (17), 4327.
• Hoeser, T.; Kuenzer, C. (2022): SyntEO: Synthetic dataset generation for Earth observation and deep learning - Demonstrated for offshore wind farm detection. In: ISPRS Journal of Photogrammetry and Remote Sensing, 189, 163-84.
• 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.
• Mueller, J.; Mitesser, O.; Cadotte, M. W.; van der Plas, F.; Mori, A. S.; Ammer, C.; Chao, A.; Scherer-Lorenzen, M.; Baldrian, P.; Baessler, C.; Biedermann, P.; Cesarz, S.; Classen, A.; Delory, B. M.; Feldhaar, H.; Fichtner, A.; Hothorn, T.; Kuenzer, C.; Peters, M. K.; Pierick, K.; Schmitt, T.; Schuldt, B.; Seidel, D.; Six, D.; Steffan-Dewenter, I.; Thorn, S.; von Oheimb, G.; Wegmann, M.; Weisser, W. W.; Eisenhauer, N. (2022): Enhancing the structural diversity between forest patches - A concept and real-world experiment to study biodiversity, multifunctionality and forest resilience across spatial scales. In: Global Change Biology, 1-14.
• Ayala-Carrillo, M.; Farfán, M.; Cárdenas-Nielsen, A.; Lemoine-Rodríguez, R. (2022): Are Wildfires in the Wildland-Urban Interface Increasing Temperatures? A Land Surface Temperature Assessment in a Semi-Arid Mexican City. In: Land, 11 (12)
• Kanmegne Tamga, D.; Latifi, H.; Ullmann, T.; Baumhauer, R.; Bayala, J.; Thiel, M. (2022): Estimation of Aboveground Biomass in Agroforestry Systems over Three Climatic Regions in West Africa Using Sentinel-1, Sentinel-2, ALOS, and GEDI Data. In: Sensors, 23 (349), 18.
• MacGregor-Fors, I.; Falfán, I.; García-Arroyo, M.; Lemoine-Rodríguez, R.; Gómez-Martínez, M. A.; Marín-Gómez, O. H.; Pérez-Maqueo, O.; Equihua, M. (2022): A Novel Approach for the Assessment of Cities through Ecosystem Integrity. In: Land, 11 (1), 3.
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• Ullmann, T.; Schmitt, A.; Roth, A.; Banks, S.; Baumhauer, R.; Dech, S. (2013): {CLASSIFICATION} {OF} {COASTAL} {ARCTIC} {LAND} {COVER} {BY} {MEANS} {OF} {TERRASAR}-{X} {DUAL} {CO}-{POLARIZED} {DATA}
• Turner, W.; Buchanan, G.; Rondinini, C.; Dwyer, J.; Herold, M.; Koh, L. P.; Leidner, A.; Leimgruber, P.; Mora, B.; Pettorelli, N.; Szantoi, Z.; Taubenb{ö}ck, H.; Wegmann, M.; Wikelski, M. (2013): Satellites: make data freely accessible. In: Nature, 498 (37), 37.

• 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
• 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.
• 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.
• 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.
• 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.
• 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.
• 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.
• 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.
• Beyhan, B.; Taubenböck, H.; Suffa, S.; Ullmann, T.; Rauh, J.; Dech, S. (2012): Urban {Growth} and {Sprawl} of {Mersin} {City}, {Turkey}: {Change} analysis based on {Earth} {Observation} and {Socio}-{Economic} {Data}. In: Megaron, 7, 3-25.
• 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)
• 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.

• Cord, A.; Rödder, D. (2011): Inclusion of habitat availability in species distribution models through multi-temporal remote sensing data?. In: Ecological Applications, (in press).
• 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.
• 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.
• 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.
• 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
• 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.
• 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.
• 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.
• 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.
• Esch, T.; Schenk, A.; Ullmann, T.; Thiel, M.; Roth, A.; Dech, S. (2011): Characterization of {Land} {Cover} {Types} in {TerraSAR}-{X} {Images} by {Combined} {Analysis} of {Speckle} {Statistics} and {Intensity} {Information}. In: IEEE Transactions on Geoscience and Remote Sensing, 49 (6), 1911-25.
• 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.

• 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.
• 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.
• 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
• 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.
• 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.
• 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.
• 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.
• 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.
• 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.
• 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.
• 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
• 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.
• 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
• Esch, T.; Schenk, A.; Thiel, M.; Ullmann, T.; Schmidt, M.; Dech, S. (2010): Land cover classification based on single-polarized {VHR} {SAR} images using texture information derived via speckle analysis. In: 2010 {IEEE} {International} {Geoscience} and {Remote} {Sensing} {Symposium}Seiten, 1875-78.
• 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

• Lemoine-Rodríguez, R.; Vega, A. P.; Mas, J. F.; Quiñones, U. M.; Yanchapaxi, A. S. C.; Aguilar, A. A.; Cruz, P. E. P.; Pérez, O. R. M.; González, L. E. M.; Aldunate, C. J. C.; Espinoza, P. S.; Mancilla, N. F. G.; Sifuentes, A. R. M.; Robles, C. A. M.; Gómez-Mendoza, L.; Gómez, J. M. M.; Fernández, S. L. M.; Martínez, A. T.; dos Anjos, M. W. B.; Mendes, F. H.; Abarzúa, J. R. Q.; Valerio, P. D.; Hamhaber, J.; de La Fuente, G. P.; Flores, M. E. J.; Hernández, J. M. N.; López, P. D. E.; Leitoles, G.; Ruiz, C. G. H.; Inostroza, L.; Morales, P. M.; Moheno, M. B.; Sánchez-Rivera, G.; Echavarria, G. G.; Villanueva, L. S.; Alarcón, I. G. B.; Palme, M.; Aravena, H. I. R.; Guerra, P. E. S. (2024): Avances En El Estudio De Islas De Calor Urbano En América Latinahg. von Richard Lemoine-Rodríguez, Azucena Perez-Vega, und J-F Mas
• Debray, H.; Kuffer, M.; Klaufus, C.; Persello, C.; Wurm, M.; Taubenb{ö}ck, H.; Pfeffer, K. (2024): Detection of Unmonitored Graveyards in VHR Satellite Data Using Fully Convolutional Networks. In: Urban Inequalities from Space: Earth Observation Applications in the Majority WorldSeiten, 167-88.

• Inostroza, L.; Gómez-Baggethun, E.; Zepp, H.; Lemoine-Rodríguez, R.; Raeva, P.; Zambrano, D.; Baur, T.; Porras, L.; Muñoz, N.; Moreno, R.; Garzón, N.; Janstedt, D. (2023): Desarrollo Urbano En Armonia Con Los Servicios Ecosistemicos. Plan De Ordenamiento Zonal Del Norte, Bogota D.C.

• 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.

• Wegmann, M.; Schwalb-Willmann, J.; Dech, S. (2020): An Introduction to Spatial Data Analysis

• Usman, M.; Liedl, R.; Zhang, F.; Zaman, M. (2018): Groundwater Irrigated Agriculture in Central Punjab, Pakistanhg. von Eric Lichtfouse
• 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.

• Conrad, C. (2017): Remote Sensing and Geoanalysis to Support Sustainable Land and Water Use in the Aral Sea Basin
• Bollo, M.; Hernández-Santana, J.; Montano, R.; Morales, L. M.; Ortiz, A.; Flores-Diaz, A.; Hillon, Y.; Lemoine-Rodríguez, R.; Bautista, M.; Amador, A.; Vargas-Mendoza, F.; Cuevas, G.; Navarrete, J. A.; Ramirez-Sánchez, L. G.; Muñiz, A.; Mendoza, M.; Solis, B.; Sánchez-Calderon, O.; Perez-Chacon, A.; Silva, D. (2017): Situación Ambiental De La Cuenca Del Río Santiago-Guadalajarahg. von M Bollo

• 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

• 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.

• 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
• 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.
• Taubenböck, H.; Dech, S., Hrsg. (2010): Fernerkundung Im Urbanen Raum, 1. Aufl.
• 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.
• 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.

• Breitkreuz, H. (unpublished PhD dissertation 2008): Solare Strahlungsprognosen fuer energiewirtschaftliche Anwendungen - Der Einfluss von Aerosolen auf das sichtbare Strahlungsangebot
• 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

• Wehrmann, T. (unpublished PhD dissertation 2007): Entwicklung und Implementierung eines Systems zur automatisierten Klassifikation von Landbedeckung

• 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

• 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
• 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.
• Pettorelli, N.; Wegmann, M.; Gurney, L.; Dubois, G. (2016): Monitoring protected areas from space. In: Protected areas: are they safeguarding biodiversity?
• 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
• 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

• 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.
• 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.
• 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

• 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.
• 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.

• 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.
• 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.