English Intern
Institut für Geographie und Geologie

Publikationen

Zeitschriftenbeiträge
  • 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. Remote Sensing, 9(8). Abgerufen von http://www.mdpi.com/2072-4292/9/8/839
     
  • Schulte to Bühne, H., Wegmann, M., Durant, S. M., Ransom, C., de Ornellas, P., Grange, S., Beatty, H., u. a. (2017). Protection status and national socio-economic context shape land conversion in and around a key transboundary protected area complex in West Africa. Remote Sensing in Ecology and Conservation. Abgerufen von http://dx.doi.org/10.1002/rse2.47
     
  • 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. CATENA, 150, 192 - 205. Abgerufen von http://www.sciencedirect.com/science/article/pii/S0341816216304696
     
  • 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. Ecological Informatics, 38, 12 - 25. Abgerufen von http://www.sciencedirect.com/science/article/pii/S1574954116301339
     
  • Khare, S., Latifi, H., & Ghosh, S. K. (2017). Multi-scale assessment of invasive plant species diversity using Pléiades 1A, RapidEye and Landsat-8 data. Geocarto International, 1-18. Abgerufen von http://dx.doi.org/10.1080/10106049.2017.1289562
     
  • 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. Forestry. Abgerufen von http://forestry.oxfordjournals.org/lookup/doi/10.1093/forestry/cpw066
     
  • Richard, K., Abdel-Rahman, E. M., Subramanian, S., Nyasani, J. O., Thiel, M., Jozani, H., Borgemeister, C., u. a. (2017). Maize Cropping Systems Mapping Using RapidEye Observations in Agro-Ecological Landscapes in Kenya. Sensor, 17(11). Abgerufen von http://www.mdpi.com/1424-8220/17/11/2537
     
  • 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?. Forestry: An International Journal of Forest Research, 1-19. Oxford University Press (OUP). Abgerufen von https://doi.org/10.1093%2Fforestry%2Fcpx014
     
  • Wegmann, M. (2017). Editorial: Remote Sensing Training in Ecology and Conservation – challenges and potential. Remote Sensing in Ecology and Conservation, 3(1), 5--6. Abgerufen von http://dx.doi.org/10.1002/rse2.40
     
  • Wang, Z., Skidmore, A. K., Wang, T., Darvishzadeh, R., Heiden, U., Heurich, M., Latifi, H., u. a. (2017). Canopy foliar nitrogen retrieved from airborne hyperspectral imagery by correcting for canopy structure effects. International Journal of Applied Earth Observation and Geoinformation, 54, 84 - 94. Abgerufen von http://www.sciencedirect.com/science/article/pii/S0303243416301659
     
  • 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. Biodiversity and Conservation, 1-5. Abgerufen von http://dx.doi.org/10.1007/s10531-017-1345-5
     
  • Rocchini, D., Petras, V., Petrasova, A., Horning, N., Furtkevicova, L., Neteler, M., Leutner, B., u. a. (2017). Open data and open source for remote sensing training in ecology. Ecological Informatics, 40, 57 - 61. Abgerufen von http://www.sciencedirect.com/science/article/pii/S1574954117300237
     
  • Löw, F., Biradar, C., Fliemann, E., Lamers, J. P. A., & Conrad, C. (2017). Assessing gaps in irrigated agricultural productivity through satellite earth observations—A case study of the Fergana Valley, Central Asia. International Journal of Applied Earth Observation and Geoinformation, 59, 118-134. Abgerufen von http://www.sciencedirect.com/science/article/pii/S0303243417300405
     
  • 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. PLOS ONE, 12(1), 1-21. Public Library of Science. Abgerufen von https://doi.org/10.1371/journal.pone.0170478
     
  • Danumah, J. H., Saley, M. B., Odai, S. N., Thiel, M., Akpa, L., & Kouame, F. K. (2017). Remote Sensing Based Analysis of the Latest Development and Structure of Abidjan District, Cote d'Ivoire. Geoinformatics & Geostatistics: An Overview, 05(01). OMICS Publishing Group. Abgerufen von https://doi.org/10.4172%2F2327-4581.1000154
     
  • Latifi, H., & Koch, B. (2017). Editorial for the Special Issue "Remote Sensing-assisted forest inventory". Journal of Photogrammetry, Remote Sensing and Geoinformation Science, 85(4), 211-212. Abgerufen von https://doi.org/10.1007/s41064-017-0036-x
     
  • 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. PFG - Journal of Photogrammetry, Remote Sensing and Geoinformation Science. Abgerufen von https://doi.org/10.1007/s41064-017-0023-2
     
  • 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). Iranian Journal of Forest and Poplar Research, 25(3), 452-462. Abgerufen von http://ijfpr.areeo.ac.ir/article_112879.html
     
  • 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-. Journal of the Japan Society of Photogrammetry and Remote Sensing, 56(4), 137-142.
     
  • 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. Landscape and Urban Planning, 165, 280-294. Elsevier BV. Abgerufen von https://doi.org/10.1016%2Fj.landurbplan.2017.02.004
     
  • Xu, X., Conrad, C., & Doktor, D. (2017). Optimising Phenological Metrics Extraction for Different Crop Types in Germany Using the Moderate Resolution Imaging Spectrometer (MODIS). Remote Sensing, 9(3), 254. Abgerufen von http://dblp.uni-trier.de/db/journals/remotesensing/remotesensing9.html#XuCD17
     
  • Pettorelli, N., Nagendra, H., Rocchini, D., Rowcliffe, M., Williams, R., Ahumada, J., De Angelo, C., u. a. (2017). Remote Sensing in Ecology and Conservation: three years on. Remote Sensing in Ecology and Conservation, 3(2), 53-56. Abgerufen von http://dx.doi.org/10.1002/rse2.53
     
  • 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. Methods in Ecology and Evolution. Abgerufen von http://dx.doi.org/10.1111/2041-210X.12827
     
  • 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. International Journal of Remote Sensing, 38(15), 4418-4442. Abgerufen von http://dx.doi.org/10.1080/01431161.2017.1320450
     
  • Conrad, C., Lamers, J. P. A., 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. Journal of Arid Environments, 124, 150 - 159. Abgerufen von http://www.sciencedirect.com/science/article/pii/S014019631530032X
     
  • 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. Forestry, 89(1), 69-81. Abgerufen von http://forestry.oxfordjournals.org/content/89/1/69.abstract
     
  • Pettorelli, N., Wegmann, M., Skidmore, A., Mücher, S., Dawson, T. P., Fernandez, M., Lucas, R., u. a. (2016). Framing the concept of satellite remote sensing essential biodiversity variables: challenges and future directions. Remote Sensing in Ecology and Conservation. Abgerufen von http://dx.doi.org/10.1002/rse2.15
     
  • 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. Remote Sensing, 8(3), 220. Abgerufen von http://www.mdpi.com/2072-4292/8/3/220
     
  • Behanzin, I. D., Thiel, M., Szarzynski, J., & Boko, M. (2016). GIS-Based Mapping of Flood Vulnerability and Risk in the Bénin Niger River Valley. International journal of geomatics and geosciences, 6(3), 1653-1669. Integrated Publishing Association. Abgerufen von http://www.ipublishing.co.in/jggsarticles/volsix/EIJGGS6029.pdf
     
  • 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. Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B2, 15-19. Copernicus GmbH. Abgerufen von http://dx.doi.org/10.5194/isprs-archives-XLI-B2-15-2016
     
  • 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. Remote Sensing, 8(5), 425. Abgerufen von http://www.mdpi.com/2072-4292/8/5/425
     
  • Fassnacht, F. E., Latifi, H., Stereńczak, K., Modzelewska, A., Lefsky, M., Waser, L. T., Straub, C., u. a. (2016). Review of studies on tree species classification from remotely sensed data. Remote Sensing of Environment, 186, 64 - 87. Abgerufen von http://www.sciencedirect.com/science/article/pii/S0034425716303169
     
  • Ziegler, S., Fa, J. E., Wohlfart, C., Streit, B., Jacob, S., & Wegmann, M. (2016). Mapping Bushmeat Hunting Pressure in Central Africa. Biotropica, 48(3), 405-412. Abgerufen von http://dx.doi.org/10.1111/btp.12286
     
  • 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. Journal of Environmental Management, 183(3). Abgerufen von http://www.sciencedirect.com/science/article/pii/S0301479716306508
     
  • van Toor, M. L., Newman, S. H., Takekawa, J. Y., Wegmann, M., & Safi, K. (2016). Temporal segmentation of animal trajectories informed by habitat use. Ecosphere, 7(10), 1 -16. Abgerufen von http://dx.doi.org/10.1002/ecs2.1498
     
  • 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. Remote Sensing in Ecology and Conservation. Abgerufen von http://dx.doi.org/10.1002/rse2.31
     
  • Paganini, M., Leidner, A. K., Geller, G., Turner, W., & Wegmann, M. (2016). The role of space agencies in remotely sensed essential biodiversity variables. Remote Sensing in Ecology and Conservation, 2(3), 132-140. Abgerufen von http://dx.doi.org/10.1002/rse2.29
     
  • 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. Frontiers in Ecology and the Environment, 14(7), 353-355. Abgerufen von http://dx.doi.org/10.1002/fee.1314
     
  • Danumah, J. H., Odai, S. N., Saley, B. M., Szarzynski, J., Thiel, M., Kwaku, A., Kouame, F. K., u. a. (2016). Flood risk assessment and mapping in Abidjan district using multi-criteria analysis (AHP) model and geoinformation techniques, (cote d'ivoire). Geoenvironmental Disasters, 3(1). Springer Nature. Abgerufen von https://doi.org/10.1186%2Fs40677-016-0044-y
     
  • 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. Photogrammetrie - Fernerkundung - Geoinformation, 2016(5-6), 285-299.
     
  • 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. Remote Sensing, 8(8), 630. Abgerufen von http://www.mdpi.com/2072-4292/8/8/630
     
  • 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. Environmental Earth Sciences, 75(11), 952. Abgerufen von http://dx.doi.org/10.1007/s12665-016-5753-8
     
  • Waldner, F., Fritz, S., Di Gregorio, A., Plotnikov, D., Bartalev, S., Kussul, N., Gong, P., u. a. (2016). A Unified Cropland Layer at 250 m for Global Agriculture Monitoring. Data, 1(1), 1-13. Abgerufen von http://elib.dlr.de/111042/
     
  • Löw, F., Duveiller, G., Conrad, C., & Michel, U. (2015). Impact of Categorical and Spatial Scale on Supervised Crop Classification using Remote Sensing. Photogrammetrie - Fernerkundung - Geoinformation, 2015(1), 7-20. Abgerufen von http://www.ingentaconnect.com/content/schweiz/pfg/2015/00002015/00000001/art00002
     
  • 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. International Journal of Applied Earth Observation and Geoinformation, 162-174. Abgerufen von http://www.sciencedirect.com/science/article/pii/S0303243415001373
     
  • Löw, F., Fliemann, E., Abdullaev, I., Conrad, C., & Lamers, J. P. A. (2015). Mapping abandoned agricultural land in Kyzyl-Orda, Kazakhstan using satellite remote sensing. Applied Geography, 62, 377 - 390. Abgerufen von http://www.sciencedirect.com/science/article/pii/S0143622815001290
     
  • Conrad, C., Rudloff, M., Abdullaev, I., Thiel, M., Löw, F., & Lamers, J. P. A. (2015). Measuring rural settlement expansion in Uzbekistan using remote sensing to support spatial planning. Applied Geography, 62, 29 - 43. Abgerufen von http://www.sciencedirect.com/science/article/pii/S0143622815000831
     
  • 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. International Journal of Applied Earth Observation and Geoinformation. Abgerufen von http://www.sciencedirect.com/science/article/pii/S0303243415000860
     
  • Fa, J. E., Olivero, J., Real, R., Farfan, M. A., Marquez, A. L., Vargas, J. M., Ziegler, S., u. a. (2015). Disentangling the relative effects of bushmeat availability on human nutrition in central Africa. NATURE, Scientific Reports 5. Abgerufen von http://dx.doi.org/10.1038/srep08168
     
  • Löw, F., Knöfel, P., & Conrad, C. (2015). Analysis of uncertainty in multi-temporal object-based classification. ISPRS - Journal of Photogrammetry and Remote Sensing, 105, 91-106. Abgerufen von http://www.sciencedirect.com/science/article/pii/S0924271615000635
     
  • 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. Photogrammetrie, Fernerkundung und Geoinformation, 2015(1), 55-67. Abgerufen von http://www.ingentaconnect.com/content/schweiz/pfg/2015/00002015/00000001/art00006
     
  • Löw, F., Conrad, C., & Michel, U. (2015). Decision fusion and non-parametric classifiers for land use mapping using multi-temporal RapidEye data. ISPRS - Journal of Photogrammetry and Remote Sensing, 108, 191 - 204. Abgerufen von http://www.sciencedirect.com/science/article/pii/S0924271615001689
     
  • 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. International Journal of Applied Earth Observation and Geoinformation, 38, 229 - 241. Abgerufen von http://www.sciencedirect.com/science/article/pii/S0303243415000264
     
  • Turner, W., Rondinini, C., Pettorelli, N., Mora, B., Leidner, A. K., Szantoi, Z., Buchanan, G., u. a. (2015). Free and open-access satellite data are key to biodiversity conservation. Biological Conservation, 182, 173 - 176. Abgerufen von http://www.sciencedirect.com/science/article/pii/S000632071400473X
     
  • Boakye, E. A., Dibi, N., Barnes, V. R., Porembski, S., Thiel, M., Kouame, F. N., & Kone, D. (2015). Threat of agricultural production on woody plant diversity in Tankwidi riparian buffer in the Sudanian Savanna of Ghana. International Journal of Biodiversity and Conservation, 7(7), 354-363. Academic Journals.
     
  • 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. Regional Environmental Change, 15(1), 183-193. Heidelberg: Springer Berlin. Abgerufen von http://dx.doi.org/10.1007/s10113-014-0633-9
     
  • Skidmore, A. K., Pettorelli, N., Coops, N. C., Geller, G. N., Hansen, M., Lucas, R., Mücher, C. A., u. a. (2015). Environmental science: Agree on biodiversity metrics to track from space. NATURE, 523(7561), 403. Abgerufen von http://www.nature.com/news/environmental-science-agree-on-biodiversity-metrics-to-track-from-space-1.18009
     
  • Walz, Y., Wegmann, M., Leutner, B., Dech, S., Vounatsou, P., N'Goran, E., Raso, G., u. a. (2015). Use of an ecologically relevant modelling approach to improve remote sensing-based schistosomiasis risk profiling. Geospatial Health, 10(2). Abgerufen von http://geospatialhealth.net/index.php/gh/article/view/398
     
  • 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. Computers and Electronics in Agriculture, 118, 380 - 389. Abgerufen von http://www.sciencedirect.com/science/article/pii/S0168169915002951
     
  • 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. Remote Sensing, 7(9), 12076. Abgerufen von http://www.mdpi.com/2072-4292/7/9/12076
     
  • Walz, Y., Wegmann, M., Dech, S., Vounatsou, P., Poda, J. -N., N'Goran, E. K., Utzinger, J., u. a. (2015). Modeling and Validation of Environmental Suitability for Schistosomiasis Transmission Using Remote Sensing. (J. V. Remais, Hrsg.)PLoS Negl Trop Dis, 9(11), e0004217. Public Library of Science (PLoS). Abgerufen von http://dx.doi.org/10.1371/journal.pntd.0004217
     
  • Rocchini, D., Boyd, D. S., Féret, J. -B., Foody, G. M., He, K. S., Lausch, A., Nagendra, H., u. a. (2015). Satellite remote sensing to monitor species diversity: potential and pitfalls. Remote Sensing in Ecology and Conservation. Abgerufen von http://dx.doi.org/10.1002/rse2.9
     
  • He, K. S., Bradley, B. A., Cord, A. F., Rocchini, D., Tuanmu, M. -N., Schmidtlein, S., Turner, W., u. a. (2015). Will remote sensing shape the next generation of species distribution models?. Remote Sensing in Ecology and Conservation, 1(1), 4-18. Abgerufen von http://dx.doi.org/10.1002/rse2.7
     
  • 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. Forstliche Forschungsberichte München, 2015(214), 101-103.
     
  • 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. Remote Sensing, 7(9), 11776. Abgerufen von http://www.mdpi.com/2072-4292/7/9/11776
     
  • Buchanan, G. M., Brink, A. B., Leidner, A. K., Rose, R., & Wegmann, M. (2015). Advancing terrestrial conservation through remote sensing. Ecological Informatics, 30, 318-321. Abgerufen von http://www.sciencedirect.com/science/article/pii/S1574954115000837
     
  • 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. Sustainability, 7(4), 4689. Abgerufen von http://www.mdpi.com/2071-1050/7/4/4689
     
  • Walz, Y., Wegmann, M., Dech, S., Raso, G., & Utzinger, J. (2015). Risk profiling of schistosomiasis using remote sensing: approaches, challenges and outlook. Parasites Vectors, 8(1). Springer Science & Business Media. Abgerufen von http://dx.doi.org/10.1186/s13071-015-0732-6
     
  • Ayanu, Y., Conrad, C., Jentsch, A., & Koellner, T. (2015). Unveiling Undercover Cropland Inside Forests Using Landscape Variables: A Supplement to Remote Sensing Image Classification. (J. Yang, Hrsg.)PLOS ONE, 10(6), e0130079. Public Library of Science (PLoS). Abgerufen von http://dx.doi.org/10.1371/journal.pone.0130079
     
  • Schmidt, M., Klein, D., Conrad, C., Dech, S., & Paeth, H. (2014). On the relationship between vegetation and climate in tropical and northern Africa. Theoretical and Applied Climatology, 115(1-2), 341-353. Abgerufen von http://dx.doi.org/10.1007/s00704-013-0900-6
     
  • Kachelriess, D., Wegmann, M., Gollock, M., & Pettorelli, N. (2014). The application of remote sensing for marine protected area management. Ecological Indicators, 36, 169 - 177. Abgerufen von http://www.sciencedirect.com/science/article/pii/S1470160X13002653
     
  • Conrad, C., Dech, S., Dubovyk, O., Fritsch, S., Klein, D., Löw, F., Schorcht, G., u. a. (2014). Derivation of temporal windows for accurate crop discrimination in heterogeneous croplands of Uzbekistan using multitemporal RapidEye images. Computers and Electronics in Agriculture, 103, 63 - 74. Abgerufen von http://www.sciencedirect.com/science/article/pii/S0168169914000386
     
  • 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. Remote Sensing, 6(7), 6472-6499. Abgerufen von http://www.mdpi.com/2072-4292/6/7/6472
     
  • Kuenzer, C., Ottinger, M., Wegmann, M., Guo, H., Wang, C., Zhang, J., Dech, S., u. a. (2014). Earth observation satellite sensors for biodiversity monitoring: potentials and bottlenecks. International Journal of Remote Sensing, 35(18), 6599-6647.
     
  • Rose, R., Byler, D., Eastman, R., Fleishman, E., Geller, G., Goetz, S., Guild, L., u. a. (2014). Ten Ways Remote Sensing Can Contribute to Conservation. Conservation Biology. Abgerufen von http://onlinelibrary.wiley.com/doi/10.1111/cobi.12397/abstract
     
  • 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. Applied Geography, 55, 92-107.
     
  • Latifi, H., Fassnacht, F. E., Schumann, B., & Dech, S. (2014). Object-based extraction of bark beetle (Ips typographus L.) infestations using multi-date Landsat and SPOT satellite imagery. Progress in Physical Geography, 1–31.
     
  • Fassnacht, F. E., 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. Remote Sensing of Environment, 154, 102-114.
     
  • 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. Journal of Applied Remote Sensing, 8(1), 083524.
     
  • Duncan, C., Kretz, D., Wegmann, M., Rabeil, T., & Pettorelli, N. (2014). Oil in the Sahara: mapping anthropogenic threats to Saharan biodiversity from space. Philosophical Transactions of the Royal Society B: Biological Sciences, 369(1643). Abgerufen von http://rstb.royalsocietypublishing.org/content/369/1643/20130191.abstract
     
  • 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. Journal of Applied Ecology, 51(4), 839-848. Abgerufen von http://dx.doi.org/10.1111/1365-2664.12261
     
  • Wegmann, M., Santini, L., Leutner, B., Safi, K., Rocchini, D., Bevanda, M., Latifi, H., u. a. (2014). Role of African protected areas in maintaining connectivity for large mammals. Philosophical Transactions of the Royal Society B: Biological Sciences, 369(1643). Abgerufen von http://rstb.royalsocietypublishing.org/content/369/1643/20130193.abstract
     
  • 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. Environmental Monitoring and Assessment, 186, 441-456.
     
  • Fassnacht, F. E., Latifi, H., Ghosh, A., Joshi, P. K., & Koch, B. (2014). Assessing the potential of hyperspectral imagery to map bark beetle-induced tree mortality. Remote Sensing of the Environment, 140, 533-548.
     
  • 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. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 7(3), 983-993. Abgerufen von http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6644315
     
  • 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. International Journal of Applied Earth Observation and Geoinformation, 34, 25 - 34. Abgerufen von http://www.sciencedirect.com/science/article/pii/S0303243414001378
     
  • Löw, F., & Duveiller, G. (2014). Defining the Spatial Resolution Requirements for Crop Identification Using Optical Remote Sensing. Remote Sensing, (6), 9034-9063. Abgerufen von http://www.mdpi.com/2072-4292/6/9/9034/htm
     
  • Wohlfahrt, C., Wegmann, M., & Leimgruber, P. (2014). Mapping threatened dry deciduous dipterocarp forest in South-east Asia for conservation management. Tropical Conservation Science, 7(4), 597-613. Abgerufen von http://elib.dlr.de/94597/
     
  • 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. Remote Sensing, 6(12), 12752-12775. Abgerufen von http://www.mdpi.com/2072-4292/6/12/12752
     
  • 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. Movement Ecology, 2(26). Abgerufen von http://www.movementecologyjournal.com/content/2/1/26/abstract
     
  • 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. Climate, 3(1), 63-77. Abgerufen von http://www.mdpi.com/2225-1154/3/1/63
     
  • 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. International Journal of Remote Sensing, 34(11), 3879-3902.
     
  • 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. Physics and Chemistry of the Earth.
     
  • 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. Remote Sensing of Environment, 129, 90-102. Abgerufen von http://www.sciencedirect.com/science/article/pii/S0034425712004142
     
  • Tischbein, B., Manschadi, A. M., Conrad, C., Hornidge, A. -K., Bhaduri, A., Hassan, M. U., Lamers, J. P. A., u. a. (2013). Adapting to water scarcity: constraints and opportunities for improving irrigation management in Khorezm, Uzbekistan. Water Science & Technology, 13(2), 337-348.
     
  • 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. ISPRS Journal of Photogrammetry and Remote Sensing, 85, 102-119.
     
  • 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. International Journal of Remote Sensing, 34(23), 8628-8652.
     
  • Pereira, H. M., Ferrier, S., Walters, M., Geller, G. N., Jongman, R. H. G., Scholes, R. J., Bruford, M. W., u. a. (2013). Essential Biodiversity Variables. Science, 339(6117), 277-278. Abgerufen von http://dx.doi.org/10.1126/science.1229931
     
  • Turner, W., Buchanan, G., Rondinini, C., Dwyer, J., Herold, M., Koh, L. P., Leidner, A., u. a. (2013). Satellites: make data freely accessible. Nature, 498(37), 37. Abgerufen von http://elib.dlr.de/82833/
     
  • 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. Applied Geography, 44, 53-68.
     
  • 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. Global and Planetary Change, 110, Part A, 88 - 98. Abgerufen von http://www.sciencedirect.com/science/article/pii/S0921818113001732
     
  • Dubovyk, O., Menz, G., Conrad, C., Thonfeld, F., & Khamzina, A. (2013). Object-based identification of vegetation cover decline in irrigated agro-ecosystems in Uzbekistan. Quaternary International, 311, 163 - 174. Abgerufen von http://www.sciencedirect.com/science/article/pii/S1040618213004424
     
  • Dubovyk, O., Menz, G., Conrad, C., Lamers, J. P. A., & Lee, A. (2013). Spatial targeting of land rehabilitation: a relational analysis of cropland productivity decline in arid Uzbekistan. Erdkunde : Archiv für Wissenschaftliche Geographie, 67(2), 167-181. Kleve: Boss. Abgerufen von http://www.worldcat.org/search?qt=worldcat_org_all&q=00140015&dblist=638&fq=dt%3Aser&qt=facet_dt%3A
     
  • Leutner, B. F., 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. Remote Sensing, 4, 2818-2845.
     
  • 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. Environmental Monitoring and Assessment, 185(6), 4775-4790.
     
  • Dietz, A., Kuenzer, C., Gessner, U., & Dech, S. (2012). Remote sensing of snow – a review of available methods. International Journal of Remote Sensing, 13, 4094–4134.
     
  • 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. International Journal of Remote Sensing, 33(21), 6818-6837.
     
  • Edlinger, J., Conrad, C., Lamers, J., & Koellner, T. (2012). Reconstructing the spatio-temporal development of cotton production systems in Uzbekistan using Landsat time series. Remote Sensing, 4(12), 3972-3994.
     
  • 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. PLOS One, 7(5).
     
  • 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. Landscape Ecology, 27(10), 1523-1534.
     
  • Esch, T., Taubenböck, H., Roth, A., Heldens, W., Felbier, A., Thiel, M., Schmidt, M., u. a. (2012). TanDEM-X mission-new perspectives for the inventory and monitoring of global settlement patterns. Journal of Applied Remote Sensing, 6(1). Abgerufen von /brokenurl#doi: 10.1117/1.JRS.6.061702
     
  • Landmann, T., Schramm, M., Huettich, C., & Dech, S. (2012). MODIS-based change vector analysis for assessing wetland dynamics in Southern Africa. Remote Sensing Letters.
     
  • Ayanu, Y. Z., Conrad, C., Nauss, T., Wegmann, M., & Koellner, T. (2012). Quantifying and Mapping Ecosystem Services Supplies and Demands: A Review of Remote Sensing Applications. Journal of Environmental Science and Technology, 46(16), 8529-8541.
     
  • 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. Remote Sensing of Environment, 115(12), 3264-3275.
     
  • 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. South African Journal of Botany, 77(2), 572-572.
     
  • 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. International Journal of Remote Sensing, 32(23), 8763-8778.
     
  • Awan, K. U., Tischbein, B., Conrad, C., Sultanov, M., & Lamers, J. P. A. (2011). Irrigation and drainage systems in Khorezm, Uzbekistan. ZEF Work Papers for Sustainable Development in Central Asia, 12.
     
  • Tischbein, B., Manschadi, A. M., Hornidge, A. K., Conrad, C., Lamers, J. P. A., Oberkircher, L., Schorcht, G., u. a. (2011). Ansätze für eine effiziente Wassernutzung in der Provinz Khorezm, Usbekistan. Hydrologie und Wasserbewirtschaftung, 55(2), 116-125.
     
  • 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. Journal of Water Resources Management, 25(10), 2467-2485.
     
  • Colditz, R., Conrad, C., & Dech, S. W. (2011). Stepwise automated pixel-based generation of time series using ranked data quality indicators. IEEE Journal of Selected Topics in Earth Observations and Remote Sensing, 3(4), 272-280.
     
  • 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. IEEE Transactions on Geoscience and Remote Sensing, 49(6), 1911-1925.
     
  • 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. Remote Sensing of Environment, 115(10), 2445-2459.
     
  • 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. Environmental Monitoring and Assessment.
     
  • 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. Remote Sensing, 2(4), 1035-1056.
     
  • Manschadi, A. M., Oberkircher, L., Tischbein, B., Conrad, C., Hornidge, A. -K., Bhaduri, A., Schorcht, G., u. a. (2010). White Gold' and Aral Sea Disaster - Towards more efficient use of water resources in the Khorezm region, Uzbekistan. Lohmann Information, 45(1), 34 - 47.
     
  • Cord, A., Conrad, C., Schmidt, M., & Dech, S. (2010). Standardized FAO-LCCS land cover mapping in heterogeneous tree savannas of West Africa. Journal of Arid Environments, 74, 1083-1091.
     
  • 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. IEEE Transactions on Geoscience and Remote Sensing, 48(2), 905-916.
     
  • Wilting, A., Cord, A., Hearn, A., Hesse, D., Mohamed, A., Traeholdt, C., Cheyne, S. M., u. a. (2010). Modelling the Species Distribution of Flat-Headed Cats (Prionailurus planiceps), an Endangered South-East Asian Small Felid. PLoS ONE, 5(3), e9612.
     
  • 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. Remote Sensing, 2(7), 1751-1766.
     
  • Esch, T., Himmler, V., Schorcht, G., Thiel, M., Conrad, C., Wehrmann, T., Bachhofer, F., u. a. (2009). Large-area assessment of impervious surface based on integrated analysis of single-date Landsat-7 images and geospatial vector data. Remote Sensing of Environment, 113(8), 1678-1690.
     
  • Taubenböck, H., Wegmann, M., Roth, A., Mehl, H., & Dech, S. (2009). Urbanization in India – Spatiotemporal analysis using remote sensing data. Computers, Environment and Urban Systems, 33(3), 179 - 188.
     
  • 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. Physics and Chemistry of the Earth, 34, 225 - 235.
     
  • 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. Agronomy for Sustainable Development, 28(2), 345 - 354.
     
  • 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. IEEE Transactions on Geoscience and Remote Sensing, 46(10), 3296 - 3308.
     
  • Conrad, C., & Schierer, A. (2008). Wassernutzung in Zentralasien. Bewässerungsfeldbau im Amu Darja Delta. Praxis Geographie, 11, 26 - 33.
     
  • Esch, T., Thiel, M., Bock, M., Roth, A., & Dech, S. (2008). Improvement of Image Segmentation Accuracy based on Multi-Scale Optimization Procedure. IEEE Geoscience and Remote Sensing Letters, 5(3), 463 - 467.
     
  • Shi, Z., Rücker, G. R., Müller, M., Conrad, C., Ibragimov, N., Lamers, J. P. A., Martius, C., u. a. (2007). Modeling of Cotton Yields in the Amu Darya River Floodplains of Uzbekistan Integrating Multi-Temporal Remote Sensing and Minimum Field Data. Agronomy Journal, 99, 1317-1326.
     
  • 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. 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. Journal of Geophysical Research: Biogeosciences, 112(G2). Abgerufen von http://dx.doi.org/10.1029/2005JG000118
     
  • 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. International Journal of Remote Sensing, 27, 3311 - 3335.
     
  • 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. Environmental Management, 38, 487 - 503.
     
  • Roy, D. P., Trigg, S. N., Bhima, R., Brockett, B., Dube, O., Frost, P., Govender, N., u. a. (2006). The utility of satellite fire product accuracy information - perspectives and recommendations from the southern Africa fire network. IEEE Transactions on Geoscience and Remote Sensing, 44, 1928 - 1930.
     
  • Keene, W. C., Lobert, J. M., Crutzen, P. J., Maben, J. R., Scharffe, D. H., Landmann, T., Hély, C., u. a. (2006). Emissions of major gaseous and particulate species during experimental burns of southern African biomass. Journal of Geophysical Research: Atmospheres, 111(D4). Abgerufen von http://dx.doi.org/10.1029/2005JD006319
     
  • Roy, D. P., Landmann, T., Le Roux, J., Frost, P., Makungwa, S., Morisette, J., Pereira, J., u. a. (2005). A consensus Southern Africa regional burnes area validation protocol. International Journal of Remote Sensing, 4265-4292.
     
  • Roy, D. P., & Landmann, T. (2005). Characterizing the surface heterogeneity of fire effects using multi-temporal reflective wavelength data. 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. African Journal of GeoInfo.
     
  • 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. Geocarto International, 19(1), 45-56. Abgerufen von /brokenurl# http://dx.doi.org/10.1080/10106040408542298
     
  • Flasse, S., Trigg, S., Ceccato, P., Perryman, A., Hudak, A., Thompson, M., Brockett, B., u. a. (2004). Remote Sensing Of Vegetation Fires And Its Contribution To A Fire Management Information System. Abgerufen von http://digitalcommons.unl.edu/usdafsfacpub/189/
     
  • Samimi, C., & Kraus, T. (2004). Biomass estimation using Landsat-TM and -ETM+. Towards a regional model for Southern Africa?. GeoJournal, 59(3), 177-187. Abgerufen von http://dx.doi.org/10.1023/B%3AGEJO.0000026688.74589.58
     
  • Hudson, P. F., & Colditz, R. R. (2003). Flood delineation in a large and complex alluvial valley, lower Pánuco basin, Mexico. Journal of Hydrology, 280(1–4), 229 - 245. Abgerufen von http://www.sciencedirect.com/science/article/pii/S0022169403002270
     
  • Landmann, T. (2003). Estimating fire severity from remote sensing information for experimental fires in the Kruger National Park (KNP). South African Journal of Sciences, 99, 357-360.
     
  • Conrad, C. (2002). Auswirkungen intensiver Bewässerungswirtschaft in Zentralasien. Petermanns Geographische Mitteilungen, 146(6), 4-5.
     
Bücher und Dissertationen
  • Wegmann, M., Leutner, B., & Dech, S. (2016). Remote Sensing and GIS for Ecologists: Using Open Source Software. (M. Wegmann, Leutner, B., & Dech, S., Hrsg.). Exeter, UK.: Pelagic Publishing. Abgerufen von http://www.pelagicpublishing.com/remote-sensing-and-gis-for-ecologists.html
     
  • Künzer, C., & Dech, S. (Hrsg.). (2013). Thermal Infrared Remote Sensing. Sensors, Methods, Applications. (C. Künzer & Dech, S., Hrsg.)Remote Sensing and Digital Image Processing, Remote Sensing and Digital Image Processing (Bd. 17, S. 537). Springer. Abgerufen von http://www.springer.com/new+%26+forthcoming+titles+%28default%29/book/978-94-007-6638-9
     
  • Schramm, M., Landmann, T., Machwitz, M., Schmidt, M., & Dech, S. (2010). Continuous tree density data as derived by remote sensing. In A. Thiombiano & Kampmann, D. (Hrsg.), Biodiversity Atlas of West Africa, Volume II: Burkina Faso (S. 98 - 101). Ouagadougou & Frankfurt/Main.
     
  • Landmann, T., Machwitz, M., Schmidt, M., Dech, S., & Vlek, P. (2010). Land cover change in West Africa as observed by satellite remote sensing. In A. Thiombiano & Kampmann, D. (Hrsg.), Biodiversity Atlas of West Africa, Volume II: Burkina Faso (S. 92 - 97). Ouagadougou & Frankfurt/Main.
     
  • Taubenböck, H., & Dech, S. (Hrsg.). (2010). Fernerkundung im urbanen Raum. (H. Taubenböck & Dech, S., Hrsg.) (1 Aufl.). Wissenschaftliche Buchgesellschaft (WBG).
     
Buchbeiträge
  • Pettorelli, N., Wegmann, M., Gurney, L., & Dubois, G. (2016). Monitoring protected areas from space. In L. Joppa, Baillie, J., & Robinson, J. G. (Hrsg.), Protected areas: are they safeguarding biodiversity?. Wiley-Blackwell. Abgerufen von http://www.worldcat.org/search?qt=worldcat_org_all&q=9781118338162
     
  • Fritsch, S., Conrad, C., & Dürbeck, T. (2015). Mapping marginal land in Khorezm using GIS and remote sensing techniques. In J. P. A. Lamers, Khamzina, A., Rudenko, I., & PLG, V. (Hrsg.), Restructuring land allocation, water use and agricultural value chains Technologies, policies and practices for the lower Amudarya region (S. 167-178). Göttingen: Vandenhoeck & Ruprecht. Abgerufen von http://public.eblib.com/choice/PublicFullRecord.aspx?p=1939223
     
  • 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 P. S. Thenkabail (Hrsg.), Remotely sensing handbook. Volume I. Abgerufen von http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=1077893
     
  • Kuenzer, C., Guo, H., Ottinger, M., & Dech, S. (2013). Spaceborne Thermal Infrared Observation - An Overview of Most Frequently Used Sensors for Applied Research. In C. Kuenzer & Dech, S. (Hrsg.), Thermal Infrared Remote Sensing – Sensors, Methods, Applications. Remote Sensing and Digital Image Processing Series, Thermal Infrared Remote Sensing – Sensors, Methods, Applications. Remote Sensing and Digital Image Processing Series (Bd. 17, S. 131-148). Berlin: Springer.
     
  • 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.. Berlin: GITO.
     
  • 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. (S. 57-72). Berlin: GITO.
     
  • Tischbein, B., Awan, U. K., Abdullaev, I., Bobojonov, I., Conrad, C., Jabborov, H., Forkutsa, I., u. a. (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, Uzbekistan (S. 69-92). Heidelberg London New York: Dordrecht.
     
  • Conrad, C., Schorcht, G., Tischbein, B., Davletov, S., Sultonov, M., & Lamers, J. P. A. (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. (S. 25-36). Heidelberg London New York: Dordrecht.
     
  • Ruecker, G., Conrad, C., Ibragimov, N., Kienzler, K. M., Ibrakhimov, M., Martius, C., & Lamers, J. P. A. (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. (S. 59-68). Heidelberg London New York: Dordrecht.
     
  • Conrad, C., Fritsch, S., Lex, S., Löw, F., Rücker, G., Schorcht, G., Sultanov, M., u. a. (2012). Potenziale des Red Edge Kanals von RapidEye zur Unterscheidung und zum Monitoring landwirtschaftlicher Anbaufrüchte am Beispiel des usbekischen Bewässerungssystems Khorezm. In . RapidEye Science Archive (RESA) - Vom Algorithmus zum Produkt, Edited by E. Borg, H. Daedelow, and R. Johnson, 203-217. Berlin: GITO, 2012.
     
  • Feilhauer, H., Stenzel, S., Kübert, C., Metz, A. K., Conrad, C., Ehlers, M., Esch, T., u. a. (2012). RapidEye im Projekt MSAVE - Multisaisonale Fernerkundung für das Vegetationsmonitoring. In . RapidEye Science Archive (RESA) - Vom Algorithmus zum Produkt, Edited by E. Borg, H. Daedelow, and R. Johnson, 153-164. Berlin: GITO, 2012.
     
  • Maaß, U., Schwab, A., & Fritsch, S. (2012). Einstufung der Spätfrostgefährdung von Weinbaulagen in Franken - Möglichkeiten geografischer Informationssysteme (GIS) und Fernerkundung. In H. -R. Schultz & Stoll, M. (Hrsg.), Deutsches Weinbau-Jahrbuch 2013 (Bd. 64, S. 113-118). Ulmer Verlag, Stuttgart.
     
  • Fritsch, S., Conrad, C., & Dech, S. W. (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 (Bd. 3, S. 89-99). Borg, E., Daedelow, H. (Hrsg.).
     
  • Esch, T., Taubenböck, H., Heldens, W., Thiel, M., Wurm, M., Klein, D., Dech, S., u. a. (2009). Monitoring and assessment of urban environments using space-borne earth observation data - selected applications. In A. Krek, Rumor, M., Zlatanova, S., & Fendel, E. (Hrsg.), Urban and Regional Data Management (S. 385-398). London, United Kingdom, ISBN 978-0-415-55642-2: Taylor & Francis Group.
     
  • 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 P. K. Joshi, Pani, P., Mohapartra, S. N., & Singh, T. P. (Hrsg.), Geoinformatics for Natural Resource Management. Hauppauge, New York: Nova Science Publishers.
     
  • Conrad, C., Rücker, G., Mund, J. -P., Schmidt, M., & Mehl, H. (2009). Beiträge der Satellitenfernerkundung für ein nachhaltiges und grenzüberschreitendes Wassermanagement in Zentralasien. In M. Kramer (Hrsg.), Studien zum Internationalen Umweltmanagement. Wiesbaden, Germany: DUV (Gabler Edition Wissenschaft).
     
  • Esch, T., Roth, A., Strunz, G., & Dech, S. (2003). Object-oriented classification of Landsat-7 data for regional planning purposes. In J. Carsten (Hrsg.), Remote Sensing of Urban Areas (S. 50-55).
     
Konferenzbeiträge
  • 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. Yamaguchi, Japan.
     
  • 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). Dresden. Abgerufen von http://www.gil-net.de/Publikationen/29_77.pdf
     
  • 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. Forth Worth, Texas, USA.
     
  • 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. Forth Worth, Texas, USA.
     
  • Remelgado, R., & Wegmann, M. (2017). Towards Behavior Dependent Species Distribution Modeling. In 37th International Symposium of Remote Sensing of Environment (S. 473). Tshwane, South Africa. Abgerufen von http://isrse37.org/wp-content/uploads/2017/05/ISRSE-37-Abstract-Book.pdf
     
  • 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) (S. 1-3). Belgium-Brugge.
     
  • Dimov, D., Schönbrodt-Stitt, S., & Conrad, C. (2017). MODIS Zeitreihen für den Aufbau eines Landnutzungsinformationssystems. In Deutscher Kongress für Geographie. Tübingen.
     
  • Dimo, D., Lucia, M. -B., Sarah, S. -S., & Christopher, C. (2017). From remote sensing to web mapping - integrated geoinformation for land use monitoring in Central Asia. UFZ & DLR: Workshop on Earth Observation Data. Leipzig.
     
  • Batsaikhan, A., Asam, S., Klein, D., & Conrad, C. (2017). Monitoring grassland phenology on an Alpine transect using webcams. Virtual Alpine Observatory (VAO) Symposium 2017. Bolzano, Italy. Abgerufen von https://www.bayfor.org/media/uploads/ktml/files/Symposium-VAO-Abstract-Booklet.pdf
     
  • Wegmann, M. (2016). Remote sensing in ecology and conservation. In ESA Living Planet Symposium. Prague, Czech Republic.
     
  • Wegmann, M. (2016). Moving remote sensing towards application. In Space – the final frontier for biodiversity monitoring. London.
     
  • Knöfel, P., Uslar, J. von, & Conrad, C. (2016). Einfluss stratifizierter Probennahme auf die Genauigkeit multitemporaler objektbasierter Landnutzungsklassifikation. In 8. RESA Workshop. Bonn.
     
  • Knöfel, P., Spengler, D., & Conrad, C. (2016). Phänologische Strukturierung von zeitlich hochauflösenden Sentinel-2-Datensätzen zur Optimierung von Landnutzungsklassifikationen. In Kickoff-Veranstaltung "EO4GEOSS". Bonn.
     
  • Hill, S., Latifi, H., Heurich, M., & Müller, J. (2016). LiDAR-gestützte Erfassung von einzelbaum- und bestandsbasierter Waldentwicklung nach natürlichen Störungsprozessen. In FowiTa - Forstwirtschaftliche Tagung (S. 123). Freiburg in Breisgau.
     
  • Knöfel, P., Spengler, D., Conrad, C., & Borg, E. (2016). GLAM.DE - Global Agricultural Monitoring – The German Contribution. Joint workshop for JECAM/Sen2Agri/Sigma projects. Kiew, Urkaine.
     
  • 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. Bonn.
     
  • 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. Guadalajara, Mexico.
     
  • Dahms, T., Seissiger, S., Borg, E., Hans-Hermann, V., Fichtelmann, B., & Conrad, C. (2016). Important Variables Modelling Biophysical Vegetation Parameters On Winter Wheat. 5 gemeinsame Jahrestagung der Arbeitskreise „Fernerkundung“ (DGfG) und „Auswertung von Fernerkundungsdaten“ (DGPF). Halle (Saale).
     
  • 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 (Bd. III-7, S. 173-180). Prague, Czech Republic. Abgerufen von http://dx.doi.org/10.5194/isprs-annals-III-7-173-2016
     
  • 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). Prague, Czech Republic.
     
  • Wegmann, M. (2016). Remote Sensing in Ecology and Conservation. In Institute for Zoo and Wildlife Research. Berlin.
     
  • 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 (Bd. XLI-B2, S. 171-175). Prague, Czech Republic. Abgerufen von http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLI-B2/171/2016/
     
  • 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. 12th International Congress of Orthopterology. Ilhéus, Brazil.
     
  • Latifi, H. (2016). Remote sensing-assisted monitoring of bark beetle-induced tree mortality. Comprehensive monitoring of stand dynamics in Bialowieza forest supported with remote sensing. Bialowieza, Poland.
     
  • 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). Halle / Saale, Germany. Abgerufen von https://akfe.geographie.ruhr-uni-bochum.de/index.php
     
  • Heiden, U., Holzwarth, S., Pinnel, N., Reichmuth, A., Raczko, E., Heurich, M., Müller, J., u. a. (2016). Laboratory for Essential Biodiversity Variables (EBV) Concepts – The “Data Pool Initiative for the Bohemian Forest Ecosystem”. Living Planet Symposium 2016. Prague, Czech Republic. Abgerufen von http://elib.dlr.de/104845/
     
  • Künzer, C., Wegmann, M., & Dech, S. (2016). Langzeit-Erdbeobachtungsdaten für die Analyse globaler Veränderungen. In Leopoldina Symposium Erdbeobachtung durch Tiere – Chancen und Perspektiven. Berlin. Abgerufen von http://elib.dlr.de/107471/
     
  • Kübert, C. (2016). Forschung aus dem All - Das Potenzial der Fernerkundung. In Vortragsreihe des Naturwissenschaftlichen Vereins Würzburg e.V.. Würburg, Germany. Abgerufen von http://elib.dlr.de/109194/
     
  • 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. Edinburgh, United Kingdom.
     
  • Conrad, C., Schönbrodt-Stitt, S., Abdullaev, I., Dimo, D., Ibrakhimov, M., Knöfel, P., Leinich, M., u. a. (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. Almaty, Kazakhstan.
     
  • 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. Kampala, Uganda.
     
  • 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. Bonn, Germany.
     
  • 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 Phenology (S. 72). Kusadasi, Türkei. Abgerufen von http://nbn-resolving.de/urn:nbn:de:101:1-201509301449
     
  • 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. Wien, Austria.
     
  • 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. Wien, Austria.
     
  • Knöfel, P., Gerstmann, H., Xu, X., & Conrad, C. (2015). Phänologische Strukturierung von zeitlich hochauflösenden Sentinel-2-Datensätzen zur Optimierung von Landnutzungsklassifikationen. In 7. RESA Workshop. Bonn.
     
  • Gerstmann, H., Knöfel, P., Xu, X., Doktor, D., Möller, M., Thürkow, D., Conrad, C., u. a. (2015). Phänologische Strukturierung von zeitlich hochauflösenden Sentinel-2-Datensätzen zur Optimierung von Landnutzungsklassifikationen. In Workshop: "Nutzung der Sentinels und nationalen Erdbeobachtungs-Missionen". Bonn.
     
  • 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 (Bd. XL-7/W3, S. 285-291). Copernicus GmbH. Abgerufen von http://dx.doi.org/10.5194/isprsarchives-XL-7-W3-285-2015
     
  • 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. DLR-SentinelWorkshop - Nutzung der Sentinels und nationalen Erdbeobachtungs-Missionen.
     
  • 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. The 36th International Symposium on Remote Sensing of Environment.
     
  • Leutner, B., Wegmann, M., Müller, J., & Dech, S. (2015). Sensor requirements for biodiversity research. The role of spatial and spectral resolution in mapping habitat of zoological communities. In The 36th International Symposium on Remote Sensing of Environment.
     
  • Löw, F., Fliemann, E., Conrad, C., Dukhovny, V., Muratova, N., Ibrakhimov, M., & Lamers, J. (2015). First results from the LaVaCCA project: Assessing land value changes and developing a discussion support tool for improved land use planning in the irrigated lowlands of Central Asia. In The 36th International Symposium on Remote Sensing of Environment. Berlin.
     
  • Löw, F. (2015). Satellitengestütztes Monitoring der Agrarproduktion im Fergana Tal. In 7. RESA Workshop 2015 - Nutzung von RapidEye-Daten im Kontext der Synergie mit anderen Sensoren und in Vorbereitung auf künftige Missionen.
     
  • Knöfel, P., Löw, F., Möller, M., & Conrad, C. (2015). Evaluation of Uncertainty and Accuracy in Multi-Temporal Object-Based Land Use Classification. 36th International Symposium on Remote Sensing of Environment. Berlin.
     
  • 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. Frascati, Italy.
     
  • 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. Toulouse, France.
     
  • Löw, F., Bauer, C., Conrad, C., Lamers, J., Dukhovny, V., Stulina, G., Kenjabaev, S., u. a. (2015). The LaVaCCA Project. Geography, Culture and Society for Our Future Earth.
     
  • 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. Tartu, Estonia.
     
  • Latifi, H., Fassnacht, F., Hartig, F., Berger, C., Hernandez, J., Corvalan, P., & Koch, B. (2015). Does a post-stratification of ground units improve the forest biomass estimation by remote sensing data?. In The 36th International Symposium on Remote Sensing of Environment.
     
  • Knauer, K., Gessner, U., Dech, S., & Künzer, C. (2015). Remote sensing of vegetation dynamics in West Africa: Improved satellite time series for phenological analyses. 36th International Symposium on Remote Sensing of Environment. Abgerufen von http://elib.dlr.de/99675/
     
  • Künzer, C., Leinenkugel, P., Huth, J., Ottinger, M., Renaud, F., Foufoula-Georgiou, E., Khac, T. V., u. a. (2015). The Potential of Time Series Based Earth Observation for the Monitoring of Large River Deltas. In AGU Fall Meeting 2015. Abgerufen von http://elib.dlr.de/99548/
     
  • 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. Bonn.
     
  • Lex, S., Dahms, T., Zellner, P., Fritsch, S., Conrad, C., & Schmidt, M. (2015). Generation and evaluation of time series for the derivation of biophysical parameters as an input for a crop model. 7. RESA Workshop 2015 - Nutzung von RapidEye-Daten im Kontext der Synergie mit anderen Sensoren und in Vorbereitung auf künftige Missionen. Abgerufen von https://resa.blackbridge.com/page/7-resa-workshop-2015
     
  • Bauer, C., Löw, F., & Conrad, C. (2015). 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. Stadt Land Schaf(f)t – Land Schaf(f)t Stadt. Berlin, Deutschland.
     
  • Bauer, C., Löw, F., & Conrad, C. (2015). Explaining and assessing spatial and temporal patterns of low productivity arable land and land abandonment - using satellite observation and socioeconomi cdata of the irrigated lowlands of Central Asia. AK Fernerkundung. Bonn, Deutschland.
     
  • Bauer, C., Löw, F., & Conrad, C. (2015). 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. Modern problems of hydrogeology, engineering geology, geoecology and ways of their solutions. Tashkent, Usbekistan.
     
  • Knöfel, P., Conrad, C., Falk, U., & Bauer-Marschallinger, B. (2014). Validation of an improved energy balance model to estimate actual evapotranspiration in irrigated cotton ecosystems of Central Asia. Geophysical Research Abstracts Vol.16, EGU2014-10521 , EGU General Assembly, 27. April - 02. May 2014. Vienna, Austria.
     
  • Knöfel, P. (2014). Entwicklung eines Analysetools zur Detektion optimaler Klassifikationszeitschnitte. In 6. RESA Workshop. Bonn.
     
  • Latifi, H. (2014). From 3D point cloud to the stand: Experiences on small-scale inventory of forest structure by airborne remote sensing. In Proceedings of the International Workshop 3D Vegetation Mapping using Advanced Remote Sensing. St. Oswald.
     
  • Leutner, B. F., Wegmann, M., Müller, J., Bachmann, M., & Dech, S. (2014). How much is enough? Habitat mapping and the need for hyper-resolution. In 44th annual meeting of the Ecological Society of Germany, Austria and Switzerland: Integrating ecological knowledge into nature conservation and ecosystem management. Hildesheim, Germany.
     
  • Latifi, H., Schumann, B., Fassnacht, F. E., & Dech, S. (2014). Dead stands from the space: multi-date imagery to map bark beetle binfestations. In Proceedings of ForestSAT (S. 4-7). Riva del Garda, Italy.
     
  • Baron, D., Golovko, D., Conrad, C., & Roessner, S. (2014). Raumzeitliche Analyse der Schneebedeckung auf der Basis von MODIS Zeitreihendaten - Beitrag zur hydrometeorologischen Charakterisierung eines Gebiets hoher Hangrutschungsgefährdung in Süd-Kirgistan. 3. gemeinsamer Workshop der Arbeitskreise: Auswertung von Fernerkundungsdaten der DGPF e.V. und Fernerkundung der DGfG e.V.. Berlin.
     
  • Esch, T., Marconcini, M., Felbier, A., Heldens, W., Roth, A., & Wegmann, M. (2014). The Global Urban Footprint - A new worldwide human settlements layer to assess anthropogenic disturbances. In ZSL Symposium on Remote Sensing for Conservation. Abgerufen von http://elib.dlr.de/90698/
     
  • Wegmann, M., Pettorelli, N., DiMarco, M., & Szantoi, Z. (2014). Combining land cover change and fragmentation analyses to track habitat degradation. In Symposium "Remote Sensing for Conservation". Abgerufen von http://elib.dlr.de/92752/
     
  • Zellner, P., Schorcht, G., Borg, E., & Conrad, C. (2014). Towards quantifying stress factors in wheat and maize monitoring. 3. gemeinsamer Workshop der Arbeitskreise: Auswertung von Fernerkundungsdaten der DGPF e.V. und Fernerkundung der DGfG e.V.. Berlin.
     
  • Rossi, M., Kübert, C., & Conrad, C. (2014). Statistische Analyse von Standortfaktoren zur Erklärung von aus Fernerkundungsdaten abgeleiteten phänologischen Zeitpunkten am Beispiel von Grünlandflächen im Alpenvorland. In 3. gemeinsamer Workshop der Arbeitskreise: Auswertung von Fernerkundungsdaten der DGPF e.V. und Fernerkundung der DGfG e.V.. Berlin.
     
  • Latifi, H., Gaub, V., Heurich, M., Krzystek, P., Müller, J., & Dech, S. (2014). A naive Bayes model to describe natural forest ground vegetation by waveform LiDAR metrics. In Proceedings of GfÖ – Annual Meeting. Hildesheim.
     
  • Leutner, B. F., Wegmann, M., Müller, J., Bachmann, M., & Dech, S. (2014). Modelling forest habitat of zoological communities - Which sensors do we actually need?. In B. Zagajewski, Sabat, A., Golenia, M., Robak, A., Kusiak, A., & Marcinkowska, A. (Hrsg.), 34th EARSeL Symposium European remote sensing - new opportunities for science and practice (S. 380). European Association of Remote Sensing Laboratories (EARSeL).
     
  • Gessner, U., Hartmann, A., Huth, J., Machwitz, M., Naeimi, V., Esch, T., Dech, S., u. a. (2014). Exploiting multi-sensoral earth observation time series for regional land cover mapping. In 5th Workshop of the EARSeL Special Interest Group on Land Use and Land Cover. Abgerufen von http://elib.dlr.de/90753/
     
  • Gessner, U., Knauer, K., Thiel, M., Forkuor, G., Künzer, C., & Dech, S. (2014). High resolution tree cover mapping in the West Sudanian Savanna based on multi-temporal Landsat data. In 10th International Conference of the African Association of Remote Sensing of the Environment. Abgerufen von http://elib.dlr.de/92372/
     
  • Knauer, K., Gessner, U., Dech, S., & Künzer, C. (2014). Remote sensing of vegetation dynamics in West Africa: improved satellite time series for phenological analyses. In ESA Advanced Training Course on Land Remote Sensing. Valencia, Spain. Abgerufen von http://elib.dlr.de/90756/
     
  • Thiel, M., Fürst, C., Baysal, G., Jiménez, M., Kleemann, J., & Inkoom, J. N. (2014). From High Resolution Remote Sensing Classification to Land-scape and Ecosystem Services Modeling in Northern Ghana. In EARSeL SIG LULC. Berlin, Germany.
     
  • Thiel, M., Gessner, U., Forkuor, G., Knauer, K., Feuerstein, S., Landkammer, S., & Conrad, C. (2014). Comparison of Remote Sensing derived LULC in two rural test sites in the Sudanian Savanna Zone. In AARSE 2014. Johannesburg, South Africa.
     
  • Knöfel, P., Conrad, C., & Dech, D. (2013). Potential of Remote Sensing Derived Soil Moisture for the Estimation of Actual Evapotranspiration in Cotton Ecosystems of Middle Asia.
     
  • Kübert, C., Dahms, T., Klein, D., & Dech, S. (2013). Ableitung von phänologischen Maßen aus fernerkundlichen Zeitreihen – Methoden, Plausibilität und Aussagekraft. In 58. Deutscher Geographentag - Kongress für Wissenschaft, Schule und Praxis. Passau, Germany.
     
  • Löw, F., & Duveiller, G. (2013). Determining suitable image resolutions for accurate supervised crop classification using remote sensing data. In Proceedings of SPIE 8893-21. SPIE, 23.-26.09.2013, Dresden, Germany.
     
  • Dahms, T., Kübert, C., & Conrad, C. (2013). Ableitung von phänologischen Parametern aus hochauflösenden Fernerkundungsdaten. In Arbeitskreis Fernerkundung 2013. Tübingen, Germany.
     
  • Asam, S., Pasolli, L., Notarnicola, C., & Klein, D. (2013). Comparison of Leaf Area Indices for grasslands within the alpine uplands based on multi-scale satellite data time series and radiation transfer modeling. In MultiTemp 2013: 7th International Workshop on the Analysis of Multi-temporal Remote Sensing Images. Banff, Canada.
     
  • Fassnacht, F. E., Hartig, F., Latifi, H., Berger, C., Hernandez, J., Corvalon, P., & Koch, B. (2013). Combination of EO1-Hyperion and LiDAR data to estimate biomass in a highly complex second growth native forest in central Chile. In Latin American Remote Sensing week (LARS2013). 23-25 October 2013, Santiago de Chile, Chile.
     
  • Thiel, M., Zoungrana, E. L., & Forkuor, G. (2013). Mapping tree cover change and the forcing drivers in West Africa. In Global Geospatial Conference / AfricaGIS. Nairobi, Kenya.
     
  • Ottinger, M., Liu, G., Taubenböck, H., & Kuenzer, C. (2013). Monitoring dynamischer Landschaftsveränderungen im Gelbflussdelta mit multisensoralen Fernerkundungsdaten. 4. Symposium Geoinformationen für die Küstenzone und 9. Workshop zur Nutzung der Fernerkundung. Hamburg, Germany: Sokrates & Freunde GmbH.
     
  • Fassnacht, F. E., Hartig, F., Latifi, H., Berger, C., Hernández, J., Corvalán, P., & Koch, B. (2013). Combination of EO1-Hyperion and LiDAR data to estimate biomass in a highly complex second growth native forest in central Chile. In Latin American Remote Sensing week (LARS2013). 23-25 October 2013, Santiago de Chile, Chile.
     
  • Wegmann, M., Pettorelli, N., Dubois, G., & Dech, S. (2013). Unifying Conservation and Remote Sensing approaches. ICCB - International Congress for Conservation Biology. Baltimore, USA.
     
  • Wegmann, M., Pettorelli, N., Dubois, G., & Dech, S. (2013). Biodiversity activities within the Committee of Earth Observation Satellites (CEOS). Committee of Earth Observation Satellites (CEOS). Montreal, Canada.
     
  • Kübert, C., Conrad, C., Klein, D., & Dech, S. (2013). Land Surface Phenology from MODIS data in Germany. In MultiTemp 2013: 7th International Workshop on the Analysis of Multi-temporal Remote Sensing Images (S. 1-4). Banff, Canada. Abgerufen von /brokenurl#10.1109/Multi-Temp.2013.6866015
     
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  • Knöfel, P., Conrad, C., & Dech, S. (2013). Potential of Remote Sensing Derived Soil Moisture for the Estimation of Actual Evapotranspiration in Cotton Ecosytems in Middle Asia. In Abstract Book (S. 1). Abgerufen von http://elib.dlr.de/87371/
     
  • Dietz, A., Künzer, C., & Conrad, C. (2013). Snow cover development in Central Asia derived from daily, medium resolution remote sensing data between 1986 and 2012. In Proceedings of the 70th Eastern Snow Conference ESC hold at the University of Waterloo Summit Centre for the Environment.
     
  • Forkuor, G., Conrad, C., Thiel, M., & Zeidler, J. (2013). Improving Crop Area Estimation in West Africa Using Multiresolution Satellite Data. In AfricaGIS - Global Geospatial Conference 2013.
     
  • Conrad, C. (2013). Präsentation der wichtigsten Ergebnisse des IPCC für Zentralasien mit besonderem Fokus auf das Murghab River Basin, Turkmenistan. GIZ-Workshop für Water Manager. Abgerufen von http://elib.dlr.de/88783/
     
  • Walz, Y., Wegmann, M., & Dech, S. W. (2012). Beitrag von hochaufgelösten Rapid Eye Daten zur Räumlichen Risikoanalyse in der Gesundheitsforschung am Beispiel von Schistosomiasis. In Proceedings 4. RESA Nutzerworkshop, DLR Rapid Eye Science Archive (RESA), DLR Neustrelitz, pp. 325-332.
     
  • Knoefel, P., Conrad, C., Falk, U., & Dech, S. (2012). Comparative analysis and validation of remotely sensed estimation of actual evapotranspiration in cotton ecosystems of Middle Asia. In Geophysical Research Abstracts (Bd. 14, S. 9251). EGU General Assembly, 22 - 27 April 2012. Vienna, Austria.
     
  • Knoefel, P., Conrad, C., Falk, U., & Dech, S. (2012). Validation of remotely sensed estimation of actual evapotranspiration in cotton ecosystems of Middle Asia.
     
  • Löw, F., Schorcht, G., Michel, U., Dech, S., & Conrad, C. (2012). Per-field crop classification in irrigated agricultural regions in middle Asia using random forest and support vector machine ensemble. In Proceedings of SPIE Remote Sensing 8538, 24-27 September 2012, Earth Resources and Environmental Remote Sensing/GIS Applications III, Edinburgh, UK.
     
  • Shahabfar, A., Reinwand, M., Conrad, C., & Schorcht, G. (2012). A re-examination of perpendicular drought indices over central and southwest Asia. In SPIE Remote Sensing, 24-27 September 2012, Edinburgh, UK.
     
  • Forkuor, G., Landmann, T., Conrad, C., & Dech, S. (2012). Agricultural Land Use Mapping in the Sudanian Savanna of West Africa: Current Status and Future Possibilities. In IEEE International Geoscience and Remote Sensing Symposium, IGARSS.
     
  • Walz, Y., Wegmann, M., & Dech, S. (2012). Transmission of Schistosomiasis in Africa and its vulnerability to climate change. 32. Internationaler Geographischer Kongress in Köln.
     
  • Asam, S., Klein, D., & Dech, S. (2012). Comparison of leaf area index derived by statistical relationships and inverse radiation transport modeling using RapidEye data in the European alpine upland. In Proceedings of SPIE Remote Sensing 8531, 24-27 September 2012, Remote Sensing for Agriculture, Ecosystems, and Hydrology XIV, Edinburgh, UK.
     
  • Schorcht, G., Löw, F., Fritsch, S., & Conrad, C. (2012). Crop classification at subfield level using RapidEye time series and graph theory algorithms. In Proceedings of SPIE Remote Sensing 8538, Remote Sensing for Agriculture, Ecosystems, and Hydrology XIV, 85311G (October 19, 2012); doi:10.1117/12.974670.
     
  • Dubovyk, O., Menz, G., Conrad, C., & Khamzina, A. (2012). Object-based cropland degradation identification: a case in Uzbekistan. In SPIE International Symposium on Remote Sensing, September 24-27 201, Edinburgh, UK.
     
  • Conrad, C., Löw, F., Rudloff, M., & Schorcht, G. (2012). Assessing irrigated cropland dynamics in central Asia between 2001 and 2010 based on MODIS time series. In Proceedings SPIE 8531, Remote Sensing for Agriculture, Ecosystems and Hydrology XIV.
     
  • Dietz, A., Conrad, C., & Kuenzer, C. (2012). Snow cover variability in Central Asia during the last decade derived from MODIS. In International Geographical Congress. 26.-30.08.2012, Cologne, Germany.
     
  • Kübert, C., Conrad, C., Dahms, T., Klein, D., Metz, A., Stenzel, S., & Dech, S. (2012). Ableitung von phänologischen Zuständen aus multitemporalen Fernerkundungsdaten. Treffen des AK „Fernerkundung“ der DGfG und des AK „Auswertung von Fernerkundungsdaten“ der DGPF, 4.-5.10.2012. Bochum, Germany.
     
  • Walz, Y., Wegmann, M., & Dech, S. (2012). Schistosomiasis risk assessment from space using high resolution Rapid Eye data. In IEEE Geoscience and Remote Sensing Symposium - Remote Sensing for a Dynamic Earth, 22-27 Jul 2012 (S. 7224-7227).
     
  • Lex, S., Schorcht, G., & Conrad, C. (2012). Ableitung von LAI und FPAR aus in situ Daten und RapidEye Zeitserien für Baumwolle im Ferganatal, Usbekistan. Treffen des AK „Fernerkundung“ der DGfG und des AK „Auswertung von Fernerkundungsdaten“ der DGPF, 4.-5.10.2012, Bochum, Germany.
     
  • Firmbach, L., Höfer, R., Thiel, M., Lorz, C., & Weiss, H. (2012). Analyse der Relevanz der aus Fernerkundungsdaten abgeleiteten urbanen Struktureinheiten für ein integriertes Wasserressourcenmanagement. In J. Strobl, Blaschke, T., & Griesebner, G. (Hrsg.), Angewandte Geoinformatik 2012 (S. 46-51). Berlin: Herbert Wichmann Verlag.
     
  • Kuenzer, C., Ottinger, M., & Dech, S. (2012). Coastal Zone Dynamics of the Yellow River Delta - Earth Observation Based Diagnosis. In Proceedings of the 32nd EARSeL Symposium and 36th General Assembly. Mykonos, Greece.
     
  • Kuenzer, C., Ottinger, M., Klein, I., & Dech, S. (2012). Dynamics of the Yellow River Delta. Proceedings of the XXII Congress of the International Society for Photogrammetry and Remote Sensing. XXII Congress of the International Society for Photogrammetry and Remote Sensing, 25. Aug. - 01. Sep. 2012, Melbourne, Australia. Melbourne, Australia.
     
  • Sirmacek, B., Wegmann, M., Reinartz, P., & Dech, S. (2012). Automatic population counts for improved wildlife management using aerial photography. In R. Seppelt, Voinov, A. A., Lange, S., & Bankamp, D. (Hrsg.), iEMSs Proceedings 2012 (S. 1-8). Abgerufen von http://elib.dlr.de/79188/
     
  • Machwitz, M., Wegmann, M., Conrad, C., & Dech, S. (2011). Remote Sensing based estimation of potential terrestrial carbon stocks in West Africa. In 34rd International Symposium on Remote Sensing of Environment. Sydney, Australia.
     
  • Klein, D., Asam, S., Gessner, U., & Dech, S. (2011). Assessment of mountainous ecosystems in Central Asia by using remote sensing based vegetation cover fractions. In 34rd International Symposium on Remote Sensing of Environment. Sydney, Australia.
     
  • Leutner, B., Müller, H., Wegmann, M., Beierkuhnlein, C., Müller, J., & Reineking, B. (2011). Modelling Biodiversity and Forest Structure Using Hyperspectral and LIDAR Remote Sensing. 41st Annual Meeting of the Ecological Society of Germany, Austria and Switzerland (GFÖ), 05.09.2011 – 09.09.2011, Oldenburg, Germany.
     
  • Schmidt, M., Esch, T., Thiel, M., & Dech, S. (2011). Building detection from single polarized TerraSAR-X Data. In Proceedings of the SPIE - The international Society for Optical Engineering.
     
  • Knoefel, P., Falk, U., Conrad, C., & Dech, S. (2011). Modellierung der tatsächlichen Evapotranspiration in der Bewässerungsregion Khorezm, Usbekistan. AK Fernerkundung, 29-30 September, Würzburg, Germany.
     
  • Wegmann, M., Oney, B., Shapiro, A., & Dech, S. (2011). Land Use Change Affects Coastal Water Quality around Borneo. In Proceedings of the 34th International Symposium on Remote Sensing of Environment, 10.-15. April 2011, Sydney, Australien. ISRSE 2011, 10.-15. Apr. 2011, Sydney, Australia.
     
  • Zeidler, J., Wegmann, M., Shapiro, A., & Dech, S. (2011). Robustness and Constraints on Spatial Transferability of Fractional Cover in the Caprivi, Namibia. In Proceedings of the 34th International Symposium on Remote Sensing of Environment, 10.-15. April 2011, Sydney, Australien. ISRSE 2011, 10.-15. Apr. 2011, Sydney, Australia. Abgerufen von http://elib.dlr.de/72029/
     
  • Dubovyk, O., Khamzina, A., Conrad, C., & Menz, G. (2011). Mapping cropland marginalization in the downstream of the Amu Darya River, Uzbekistan. Tropentag, October 5 - 7, 2011 in Bonn, Germany.
     
  • Fritsch, S., Machwitz, M., Conrad, C., & Dech, S. (2011). Relationships between high resolution RapidEye based fPAR and MODIS vegetation indices in a heterogeneous agricultural region. In Proceedings of SPIE Remote Sensing, 19.-22. Sep. 2011. Prague, Czech Republic: ISBN: 9780819488015.
     
  • Conrad, C., Machwitz, M., Schorcht, G., Löw, F., Fritsch, S., & Dech, S. (2011). Potentials of RapidEye time series for improved classification of crop rotations in heterogeneous agricultural landscapes: Experiences from irrigation systems in Central Asia. In Proceedings of SPIE Remote Sensing, 19.-22. Sep. 2011. Prague, Czech Republic: ISBN: 9780819488015.
     
  • Conrad, C. (2011). Satellitenfernerkundung und Bewässerungsmanagement in Zentralasien. In Umweltcluster Bayern. Cluster-Forum International - Zentralasien, Chancen für Umwelttechnologie in Kasachstan, Usbekistan und Aserbaidschan, 17. Nov. 2011, Munich, Germany.
     
  • Bohovic, R., Klein, D., & Conrad, C. (2011). Phenological patterns for Central Asia. Vegetation dynamics by the means of remote sensing. In 31st EARSeL Symposium and 34th General Assembly, 30. Mai - 02. Jun. 2011, Prague, Czech Republic. (nicht veröffentlicht).
     
  • Asam, S. (2011). Derivation of LAI from repeated in situ observations and multi-scale remote sensing data. In PhenoALP project final meeting, 12.-14. Oct. 2011, Torgnon, Italy.
     
  • Kübert, C., Klein, D., Wegmann, M., Conrad, C., & Dech, S. (2011). Multi-sensor-concepts for the assessment of land surface phenology using remote sensing data. PhenoALP project final meeting, 12.-14.Oct. 2011, Torgnon, Italy.
     
  • Fritsch, S., Machwitz, M., Ehammer, A., Conrad, C., & Dech, S. (2011). Validation of the collection 5 MODIS FPAR product in a heterogeneous agricultural region. AK Fernerkundung, 29-30 September, Würzburg, Germany.
     
  • Fritsch, S., Conrad, C., Manschadi, A., Machwitz, M., Rücker, G., & Dech, S. (2011). Estimating regional crop yield at field scale using multitemporal RapidEye data. 3rd Remote Sensing Symposium (3rd RSS), September 8, Wageningen, Netherlands.
     
  • Asam, S., Klein, D., Zebisch, M., Kunstmann, H., & Dech, S. (2011). A concept for deriving a spatial and temporal high resolution LAI from multi-scale remote sensing data. PhenoALP project final meeting. Abgerufen von http://elib.dlr.de/72003/
     
  • Walz, Y., Wegmann, M., & Dech, S. W. (2011). Disease Risk Assessment from Space: Case Study of Human Schistosomiasis. In Workshop "Biodiversität und Infektionskrankheiten" (DIVERSITAS Deutschland e.V.) vom 28.11.2011 - 29.11.2011 in Frankfurt, Poster.
     
  • Taubenböck, H., Klotz, M., Felbier, A., Wegmann, M., & Ludwig, R. (2011). Spatio-temporal cross-city comparison using multisensoral remote sensing for Mexican cities. In U. Stilla, Gamba, P., Jürgens, C., & Maktav, D. (Hrsg.), Proceedings of JURSE2011 (S. 81-84). Abgerufen von http://elib.dlr.de/69594/
     
  • Löw, F., Michel, U., Conrad, C., & Dech, S. (2011). Development of a satellite-based multi-scale land use classification system for land and water management in Uzbekistan and Kazakhstan. In Proceedings of SPIE. Prague, Czech Republic.
     
  • Asam, S., Klein, D., Geßner, U., Conrad, C., Beierkuhnlein, C., & Dech, S. (2010). Ableitung des Vegetationsbedeckungsgrades aus multiskaligen Fernerkundungsdaten für hydrologische Modellierung in Zentralasien. In Symposium und Fachmesse für Angewandte GeoInformatik (AGIT) 2010. Salzburg, Austria.
     
  • Ehammer, A., Fritsch, S., Conrad, C., & Dech, S. W. (2010). Statistical derivation of fPAR and LAI for irrigated cotton and rice in arid Uzbekistan by combining multi-temporal RapidEye data and ground measurements. In Remote Sensing for Agriculture, Ecosystems, and Hydrology XII (Bd. 7824, S. 1-10). SPIE remote sensing symposium 2010, 20. - 23. September, Toulouse.
     
  • Hüttich, C., Strohbach, B. J., Herold, M., Keil, M., & Dech, S. (2010). The Potential of MODIS Time Series Metrics for bottom-up Vegetation Mapping in a semi-arid Savanna Ecosystem in Namibia. In Proceedings of the ESA Living Planet Symposium. Bergen, Norway.
     
  • Esch, T., Taubenböck, H., Heldens, W., Thiel, M., Wurm, M., Geiss, C., & Dech, S. (2010). Urban Remote Sensing - How Can Earth Observation Support the Sustainable Development of Urban Environments?. In 15th International Conference on Urban Planning, Regional Development and Information Society (REAL CORP) (S. 837 - 847). Vienna, Austria.
     
  • 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 via speckle analysis. In Proceedings of the 2010 IEEE International Geoscience and Remote Sensing Symposium (S. 1875 - 1878). Honolulu, Hawaii, USA.
     
  • Lex, S., Geßner, U., & Dech, S. (2010). Identifizierung der Antriebskräfte von Landnutzungs- und Landbedeckungsänderungen in der Region Kavango in Namibia. Arbeitskreis Subsaharisches Afrika, Jahresversammlung, 18./19.6.2010, Würzburg, Germany.
     
  • Esch, T., Taubenböck, H., Heldens, W., Thiel, M., Wurm, M., & Dech, S. (2010). Supporting the Sustainable Development of Cities by Means of Earth Observation Techniques. In ISOCARP 2010. Nairobi, Kenia. Abgerufen von http://elib.dlr.de/74185/
     
  • Machwitz, M., Bloethe, J., Klein, D., Conrad, C., & Dech, S. (2010). Mapping of large irrigated areas in Central Asia using MODIS time series. In Remote Sensing for Agriculture, Ecosystems, and Hydrology XII (Bd. 7824). SPIE remote sensing symposium 2010, 20. - 23. September, Toulouse#.
     
  • Taubenböck, H., Wegmann, M., Wurm, M., Ullmann, T., & Dech, S. (2010). The global trend of urbanization - Spatiotemporal analysis of megacities using multitemporal remote sensing, landscape metrics and gradient analysis. In Proceedings of SPIE Europe Remote Sensing (S. 1-20). Abgerufen von http://elib.dlr.de/67339/
     
  • Conrad, C., Goessl, A., Lex, S., Metz, A., Esch, T., Konrad, C., Goettlicher, G., u. a. (2010). Mapping crop distribution in administrative districts of southwest Germany using multi-sensor remote sensing data. In Proceedings of SPIE. Toulouse, France.
     
  • Fritsch, S., Conrad, C., & Dech, S. W. (2010). A MODIS-based approach for crop yield prediction in irrigated areas of Central Asia using light-use efficiency modeling. In Proceedings of the ESA Living Planet Symposium 2010 (S. 1-7). ESA Living Planet Symposium. Bergen, Norway.
     
  • Taubenböck, H., Clodt, S., Wurm, M., Wegmann, M., & Jürgens, C. (2010). The capabilities of remote sensing to derive urban location factors for probability-based spatial growth analysis. In 15th International Conference on Urban Planning, Regional Development and Information Society (REAL CORP). Vienna, Austria. Abgerufen von http://elib.dlr.de/64173/
     
  • Schmidt, M., Esch, T., Klein, D., Thiel, M., & Dech, S. (2010). Estimation of building density using TerraSAR-X-Data. In Proceedings of the 2010 IEEE International Geoscience and Remote Sensing Symposium (S. 1936 - 1939). Honolulu, Hawaii, USA.
     
  • Klein, D., Esch, T., Himmler, V., Thiel, M., & Dech, S. (2009). Assessment of urban extend and impervious of Cape Town using TerraSAR-X and Landsat images. In Proceedings of the 2009 IEEE International Geoscience and Remote Sensing Symposium. Cape Town, South Africa.
     
  • Schorcht, G., Conrad, C., Dech, S., Lamers, J., Rücker, G., & Fritsch, S. (2009). Field based FAO-56 dual crop coefficient method for water demand estimations using remote sensing and geodata management approaches. In Proceedings of the GISCA 2009 - GIScience for Environmental and Emergency Management in Central Asia. Bishkek, Kyrgyzstan.
     
  • Taubenböck, H., Wegmann, M., Roth, A., Schmidt, M., & Dech, S. (2009). Urbanization: A global change issue. In 33rd International Symposium on Remote Sensing of Environment. Stresa, Italy.
     
  • Machwitz, M., Falk, U., Richters, J., Conrad, C., & Dech, S. (2009). Modeling the carbon budget at regional scale in West Africa using 250 m MODIS data and ground observations. In 33rd International Symposium on Remote Sensing of Environment. Stresa, Italy.
     
  • Geßner, U., Klein, D., Conrad, C., Schmidt, M., & Dech, S. (2009). Towards an automated estimation of vegetation cover fractions on multiple scales: Examples of Eastern and Southern Africa. In 33rd International Symposium on Remote Sensing of Environment. Stresa, Italy.
     
  • Hüttich, C., Geßner, U., Schmidt, M., Keil, M., Strohbach, B., & Dech, S. (2009). Ecosystem Assessment in Savanna Ecosystems based on multi-scale Earth Observation data. In 33rd International Symposium on Remote Sensing of Environment. Stresa, Italy.
     
  • Huth, J., Gebhardt, S., Wehrmann, T., Schettler, I., Künzer, C., Schmidt, M., & Dech, S. (2009). Automated inundation monitoring using TerraSAR-X multi-temporal imagery. In European Geosciences Union General Assembly 2009. Vienna, Austria.
     
  • Esch, T., Klein, D., Himmler, V., Keil, M., Mehl, H., & Dech, S. (2009). Modeling of impervious surface in Germany using Landsat images and topographic vector data. In Proceedings of the 2009 IEEE International Geoscience and Remote Sensing Symposium. Cape Town, South Africa.
     
  • Cord, A., Schmidt, M., & Dech, S. (2009). Potential and limitations of multi-temporal earth observation data to improve model results of tree species distribution in Mexico. In 33rd International Symposium on Remote Sensing of Environment. Stresa, Italy.
     
  • Cord, A., Colditz, R. R., Schmidt, M., & Dech, S. (2009). Species Distribution and Forest Type Mapping in Mexico. In Proceedings of the 2009 IEEE International Geoscience and Remote Sensing Symposium. Cape Town, South Africa.
     
  • Conrad, C., Falk, U., Hendricks, J., & Dech, S. (2009). Modelling surface energy fluxes based on multi-temporal remote sensing data at different scales. In 33rd International Symposium on Remote Sensing of Environment. Stresa, Italy.
     
  • Colditz, R. R., Cord, A., Conrad, C., Mora, F., Maeda, P., & Ressl, R. (2009). Analyzing Phenological Characteristics of Mexico with MODIS Time Series Products. In Fifth international Workshop on the Analysis of Multitemporal Remote Sensing Images (MultiTemp). Mystic, Connecticut, USA.
     
  • Wegmann, M., Schmidt, M., & Dech, S. (2009). Analysis of Spatial Patterns – adding attributes to Forest Patches to Evaluate the Importance of Individual Fragments for Spatial Landscape Integrity. In 33rd International Symposium on Remote Sensing of Environment. Stresa, Italy.
     
  • Wegmann, M., Schmidt, M., & Dech, S. (2009). Adding spatial attributes to landcover data – an ecological perspective. In Proceedings of the 2009 IEEE International Geoscience and Remote Sensing Symposium. Cape Town, South Africa.
     
  • Colditz, R. R., Conrad, C., Wehrmann, T., Schmidt, M., & Dech, S. (2009). Analysis of the Quality of Collection 4 and 5 Vegetation Index Time Series from MODIS. In A. Stein, Shi, W., & Bijker, W. (Hrsg.), Quality Aspects in Spatial Data Mining. London, United Kingdom: CRC Press - Taylor & Francis Group.
     
  • Falk, U., Hendrickx, J. M., Conrad, C., Kübert, C., & Vlek, P. L. G. (2009). Scintillometry, Eddy-covariance and Remote Sensing for Evapotranspiration Mapping in West-Africa. In Proceedings of 33rd International Symposium on Remote Sensing of Environment (ISRSE), May 4 – May 8 2009, Stresa, Italy.
     
  • Ruecker, G., Wehrmann, T., Schettler, I., Conrad, C., Landmann, T., Klein, D., Fritsch, S., u. a. (2009). Integration of remote sensing products in regional information systems to support decision making in land and water management in Central Asia. In Proceedings of the Third Central Asia GIS Conference - GISCA '09 (Bishkek).
     
  • Fritsch, S., Conrad, C., Rücker, G., & Dech, S. (2008). Objektbasierte Klassifikation der agrarischen Landnutzung im Gebiet Khorezm (Usbekistan). In Symposium und Fachmesse für Angewandte GeoInformatik (AGIT) 2008. Salzburg, Austria.
     
  • Conrad, C., Dech, S., Lamers, J., Martius, C., & Ruecker, G. (2008). A remote sensing based monitoring concept for irrigation systems in Central Asia. In Geophysical Research Abstracts (Bd. 10). EGU General Assembly 2008, 13.-18. April 2008, Vienna, Austria.
     
  • Kübert, C., Conrad, C., Falk, U., & Hendrickx, J. (2008). Assessing the impact of atmospheric corrections on modeling surface energy balance fluxes with SEBAL. Global Change and Water Resources in West Africa. The German-African GLOWA Projects. International Conference, 25. - 28. August 2008, Ouagadougou, Burkina Faso.
     
  • Thiel, M., Taubenböck, H., Esch, T., Roth, A., Wurm, M., & Dech, S. (2008). Classification of urban environments with TerraSAR-X and ALOS-PALSAR data. In SPIE 2008. Abgerufen von http://elib.dlr.de/74190/
     
  • Taubenböck, H., Esch, T., Wurm, M., Thiel, M., Ullmann, T., Roth, A., Schmidt, M., u. a. (2008). Urban structure analysis of mega city Mexico City using multisensoral remote sensing data. In Spie Europe Remote Sensing 2008 (Bd. Procee, S. 1-12). Abgerufen von http://elib.dlr.de/59012/
     
  • Schreier, G., Dech, S., Diedrich, E., Maass, H., & Mikusch, E. (2008). Earth observation data payload ground segments at DLR for GMES. In Acta Astronautica (Bd. 63, S. 146 - 155). Abgerufen von http://www.sciencedirect.com/science/article/pii/S0094576507003311
     
  • Taubenböck, H., Wegmann, M., Berger, C., Breunig, M., Roth, A., & Mehl, H. (2008). Spatiotemporal analysis of Indian megacities. In Proceedings of the International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences (Bd. 10, S. 75-82). Abgerufen von http://elib.dlr.de/54680/
     
  • Esch, T., Conrad, C., Schorcht, G., Thiel, M., Wehrmann, T., & Dech, S. (2008). Model-based estimation of impervious surface by application of support vector machines. In Proceedings of the International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences (ISPRS), Part B8, Commission VIII. Beijing, China.
     
  • Esch, T., Roth, A., Thiel, M., Schmidt, M., & Dech, S. (2008). Comparison of ALOS-PALSAR and TerraSAR-X data in terms of detecting settlements – first results. In Proceedings of the ALOS PI Symposium 2008. Rhodes, Greece.
     
  • Esch, T., Schenk, A., Thiel, M., Roth, A., Schmidt, M., & Dech, S. (2008). Analysis of SAR speckle statistics in support of image filtering and interpretation. In Proceedings of the 2008 IEEE International Geoscience and Remote Sensing Symposium. Boston, Massachusetts, USA.
     
  • Geßner, U., Conrad, C., Hüttich, C., Keil, M., Schmidt, M., Schramm, M., & Dech, S. (2008). A Multi-Scale Approach for retrieving proportional Cover of Life Forms. In Proceedings of the 2008 IEEE International Geoscience and Remote Sensing Symposium. Boston, Massachusetts, USA.
     
  • Machwitz, M., Landmann, T., Cord, A., Conrad, C., & Dech, S. (2008). Land cover analysis on sub-continental scale: FAO LCCS standard with well-defined 250 meter MODIS satellite observations in West Africa. In Proceedings of the 2008 IEEE International Geoscience and Remote Sensing Symposium. Boston, Massachusetts, USA.
     
  • Schramm, M., Landmann, T., Schmidt, M., & Dech, S. (2008). Tree density detection using spectral unmixing without known target spectra. In Proceedings of the 2008 IEEE International Geoscience and Remote Sensing Symposium. Boston, Massachusetts, USA.
     
  • Taubenböck, H., Esch, T., Wurm, M., Thiel, M., Ullmann, T., Roth, A., Schmidt, M., u. a. (2008). Urban structure analysis of mega city Mexico City using multi-sensoral remote sensing data. In Proceedings of the SPIE Europe: Remote Sensing Conference - Remote Sensing for Environmental Monitoring, GIS Applications, and Geology VIII. Cardiff, Wales, United Kingdom.
     
  • Thiel, M., Esch, T., & Dech, S. (2008). Object oriented detection of settlement areas from Terra SAR-X data. In Proceedings of the EARSeL Joint Workshop. Bochum, Germany.
     
  • Thiel, M., Esch, T., & Schenk, A. (2008). Object-oriented detection of urban areas from TerraSAR-X data. In Proceedings of the International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences (ISPRS), Part B8, Commission VIII. Beijing, China.
     
  • Thiel, M., Esch, T., Wurm, M., Taubenböck, H., & Dech, S. (2008). Identification of built-up areas using SAR data – A comparison of TerraSAR-X and ALOS PALSAR imagery. In Proceedings of the SPIE Europe: Remote Sensing Conference - Image and Signal Processing for Remote Sensing XIV. Cardiff, Wales, United Kingdom.
     
  • Esch, T., Schorcht, G., Thiel, M., & S.Dech,. (2007). Versiegelung in Bayern - Ergebnisse einer flächendeckenden satellitenbasierten Untersuchung.
     
  • Esch, T., Schenk, A., & Thiel, M. (2007). Monitoring of Urban Environments with TerraSAR-X Data. In Proceedings of the 2007 IEEE International Geoscience and Remote Sensing Symposium. Barcelona, Spain.
     
  • Colditz, R. R., Conrad, C., Wehrmann, T., Schmidt, M., & Dech, S. (2007). Comparison of collection 4 and 5 MODIS time series. In ISPRS Spatial Data Quality Symposium. Enschede, The Netherlands.
     
  • Colditz, R. R., Geßner, U., Conrad, C., van Zyl, D., Malherbe, J., Newby, T., Landmann, T., u. a. (2007). Dynamics of MODIS time series for ecological applications in southern Africa. In Fourth international Workshop on the Analysis of Multitemporal Remote Sensing Images (MultiTemp). Leuven, Belgium.
     
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  • Eshchanov, R., Conrad, C., & Lamers, J. P. A. (2007). Using remote sensing to monitor the cotton growth in the Khorezm Region. In Proceedings of the International Conference by Uzbekistan Cotton Research Institute (S. 213-213). International Conference by Uzbekistan Cotton Research Institute, 27.-28. Aug. 2007, Tashkent, Uzbekistan.
     
  • Ruecker, G. R., Shi, Z., Mueller, M., Conrad, C., Ibragimov, N., Lamers, J. P. A., Martius, C., u. a. (2007). Regional scale estimation of cotton yield in Uzbekistan by integrating remote sensing and field data info into an agrometeorological model. In Proceedings of the International Conference by Uzbekistan Cotton Research Institute (S. 213-220). International Conference by Uzbekistan Cotton Research Institute, 27.-28. Aug. 2007, Tashkent, Uzbekistan.
     
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  • Colditz, R. R., Conrad, C., Schmidt, M., Schramm, M., Schmidt, M., & Dech, S. (2006). Mapping regions of high temporal variability in Africa. In ISPRS mid-term symposium Remote sensing: from pixels to processes. Enschede, The Netherlands.
     
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  • Schweitzer, C., Ruecker, G., Conrad, C., Strunz, G., & Bendix, J. (2005). Knowledge-based land use classification combining expert knowledge, GIS, multi-temporal Landsat 7 ETM+ and MODIS time series data in Khorezm, Uzbeskistan. In Göttinger Geographische Abhandlungen (Bd. 113, S. 116-123). Göttingen GIS & Remote Sensing Days, 7-8 October 2004.
     
  • Vogel, M., Wegmann, M., Schmidt, M., & Dech, S. (2005). Land Cover Change in Southern and Western Africa - A combined Change Detection Approach. In 2005 Conference on Remote Sensing and Geoinformation. Abgerufen von http://elib.dlr.de/53682/
     
  • Kranz, O., Rücker, G. R., Conrad, C., Strunz, G., & Dech, S. (2005). GIS und Multi-Criteria-Evaluation zur räumlichen Modellierung geeigneter Aquakultur-Standorte in der Region Khorezm, Usbekistan. In Symposium und Fachmesse für Angewandte GeoInformatik (AGIT) 2005. Salzburg, Austria.
     
  • Colditz, R. R., Conrad, C., Rücker, G., Schweitzer, C., Fistric, S., Schmidt, M., & Dech, S. (2005). Ableitung von phänologischen Verlaufsmustern aus MODIS Zeitserien und Möglichkeiten der Anwendung. In Symposium und Fachmesse für Angewandte GeoInformatik (AGIT) 2005. Salzburg, Austria.
     
  • Conrad, C., Colditz, R. R., Petrocchi, A., Rücker, G. R., Dech, S., & Schmidt, M. (2005). Time Series Generator – Ein flexibles Softwaremodul zur Generierung und Bewertung von Zeitserien aus NASA MODIS Datenprodukten. In Symposium und Fachmesse für Angewandte GeoInformatik (AGIT) 2005. Salzburg, Austria.
     
  • Müller, U., Conrad, C., & Kraus, T. (2004). Analyse der raum-zeitlichen Vegetationsdynamik in Ostafrika unter Verwendung von MODIS-Daten. In Angewandte Geoinformatik 2004. Beitraege zum 16. AGIT-Symposium Salzburg 2004 (S. 484-489).
     
  • Conrad, C., Rücker, G., Schweitzer, C., Dech, S., & Hafeez, M. (2004). Modeling seasonal actual evapotranspiration with remote sensing and GIS in Khorezm region, Uzbekistan. In Proceedings of the 11th SPIE Remote Sensing Europe 2004 - Remote Sensing for Agriculture, Ecosystems, and Hydrology VI. Masplomas, Gran Canaria, Spain.
     
  • Conrad, C., Rücker, G. R., Colditz, R. R., Strunz, G., & Dech, S. (2004). Crop monitoring using multi-temporal MODIS remote sensing data in Khorezm, Uzbekistan. In Congress: The Use of GIS And Simulation Models For Research And Decision Support in Central Asian River Basins. Tashkent, Uzbekistan.
     
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