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SAR and optical time series for crop classification.

, , , , и . IGARSS, стр. 811-814. IEEE, (2017)

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Konrad Löw

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Feature extraction and machine learning for the classification of active cropland in the Aral Sea Basin., , , , и . IGARSS, стр. 1804-1807. IEEE, (2017)A Unified Cropland Layer at 250 m for Global Agriculture Monitoring, , , , , , , , , и 6 other автор(ы). Data, 1 (1): 1-13 (марта 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, , , , , , и . The 36th International Symposium on Remote Sensing of Environment, Berlin, (мая 2015)Evaluation of Uncertainty and Accuracy in Multi-Temporal Object-Based Land Use Classification, , , и . (11,-15. 05 2015)Introduction of a multifunctional tool for the evaluation of uncertainty and accuracy in multitemporal object-based land use classification, , , , , и . (21.-24. 09 2015)Tapping the potential of Landsat archives for the monitoring of irrigated land use development in the lower Syr Darya catchment, Kazakhstan, 1984-2016., , , , и . (апреля 2018)Spatio-Temporal Patterns of Land Abandonment in the Lower Region of Amu Darya River, , , , и . (2017)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, , , , и . Applied Geography, 62 (0): 377 - 390 (2015)Feature extraction and machine learning for the classification of active cropland in the Aral Sea Basin, , , , и . (2017)