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Detecting spatio-temporal patterns of land abandonment in the lower region of the Amu Darya and Syr Darya Rivers using earth observation data, , , and . (April 2018)Impact of Categorical and Spatial Scale on Supervised Crop Classification using Remote Sensing, , , and . Photogrammetrie - Fernerkundung - Geoinformation, 2015 (1): 7-20 (2015)Agricultural crop mapping from multi-scale remote sensing data Concepts and applications in heterogeneous Middle Asianagricultural landscapes. Julius-Maximilians-Universität Würzburg, (2014)Mapping abandoned agricultural land in Kyzyl-Orda, Kazakhstan using satellite remote sensing, , , , and . Applied Geography, 62 (0): 377 - 390 (2015)Feature extraction and machine learning for the classification of active cropland in the Aral Sea Basin, , , , and . (2017)Spatio-Temporal Patterns of Land Abandonment in the Lower Region of Amu Darya River, , , , and . (2017)A Unified Cropland Layer at 250 m for Global Agriculture Monitoring, , , , , , , , , and 6 other author(s). Data, 1 (1): 1-13 (March 2016)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, , , , , , and . The 36th International Symposium on Remote Sensing of Environment, Berlin, (May 2015)Evaluation of Uncertainty and Accuracy in Multi-Temporal Object-Based Land Use Classification, , , and . (11,-15. 05 2015)Introduction of a multifunctional tool for the evaluation of uncertainty and accuracy in multitemporal object-based land use classification, , , , , and . (21.-24. 09 2015)