Sebastian Fritsch

Per-Field Irrigated Crop Classification in Arid Central Asia Using SPOT and ASTER Data

Christopher Conrad, Sebastian Fritsch, Julian Zeidler et al. · Remote Sensing · 2010 · 166 citations · Full text

Precision Agriculture, Engineering, Land Use +23

Derivation of temporal windows for accurate crop discrimination in heterogeneous croplands of Uzbekistan using multitemporal RapidEye images

Christopher Conrad, Stefan Dech, Olena Dubovyk et al. · Computers and Electronics in Agriculture · 2014 · 94 citations

Precision Agriculture, Image Analysis, Machine Vision +13

Statistical derivation of fPAR and LAI for irrigated cotton and rice in arid Uzbekistan by combining multi-temporal RapidEye data and ground measurements

Andrea Ehammer, Sebastian Fritsch, Christopher Conrad et al. · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2010 · 42 citations

Precision Agriculture, Environmental Monitoring, Engineering +20

Validation of the collection 5 MODIS FPAR product in a heterogeneous agricultural landscape in arid Uzbekistan using multitemporal RapidEye imagery

Sebastian Fritsch, Miriam Machwitz, Andrea Ehammer et al. · International Journal of Remote Sensing · 2012 · 29 citations

Precision Agriculture, Environmental Monitoring, Modis Fpar Product +23

Potentials of RapidEye time series for improved classification of crop rotations in heterogeneous agricultural landscapes: experiences from irrigation systems in Central Asia

Christopher Conrad, Miriam Machwitz, Gunther Schorcht et al. · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2011 · 10 citations

Precision Agriculture, Engineering, Land Use +24