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Pathways to using remote sensing in crop cultivation and management - the German digital test field AgriSens DEMMIN 4.0, , , , , , , , , and 2 other author(s). (2022)Identifying Changing Snow Cover Characteristics in Central Asia between 1986 and 2014 from Remote Sensing Data., , , , and . Remote. Sens., 6 (12): 12752-12775 (2014)Cropping Intensity in the Aral Sea Basin and Its Dependency from the Runoff Formation 2000-2012., , , , and . Remote. Sens., 8 (8): 630 (2016)Deriving phenological layers for Germany from remote sensing data: spatio-temporal analysis and validity, , , and . (5.-8. 10 2015)Phänologische Strukturierung von zeitlich hochauflösenden Sentinel-2-Datensätzen zur Optimierung von Landnutzungsklassifikationen, , , , , , , and . (21.-22. 01 2015)Grassland habitat mapping by intra-annual time series analysis – Comparison of RapidEye and TerraSAR-X satellite data, , , , and . International Journal of Applied Earth Observation and Geoinformation, 34 (0): 25 - 34 (2014)Optimization of multi-temporal Land Use Classification by Integration of Phenological time frames, , , and . 2017 9th International Workshop on the Analysis of Multitemporal Remote Sensing Images (MultiTemp), page 1-3. Belgium-Brugge, (27. - 29. 06 2017)Modeling, GIS, and Remote Sensing for Discussion Support in Irrigated Land Management in the inner Aral Sea Basin, , , and . (April 2018)3-D numerical modelling of groundwater flow for scenario-based analysis and management, , , and . Water SA, (2018)Object-Based Land Use Classification of Agricultural Land by Coupling Multi-Temporal Spectral Characteristics and Phenological Events in Germany, , and . (12.-17. 04 2015)