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Mapping Wetland Dynamics With SAR-Based Change Detection in the Cloud., , , , и . IEEE Geosci. Remote. Sens. Lett., 16 (10): 1536-1539 (2019)Automatic change detection in RapidEye data using the combined MAD and kernel MAF methods., , , и . IGARSS, стр. 3078-3081. IEEE, (2010)Robust Change Vector Analysis (RCVA) for multi-sensor very high resolution optical satellite data., , , и . Int. J. Appl. Earth Obs. Geoinformation, (2016)Object-based identification of vegetation cover decline in irrigated agro-ecosystems in Uzbekistan, , , , и . Quaternary International, (2013)Hydrological and Ecological Responses to Climatic Change and to Land-use/land-cover changes in Central Asia.SAR phenology across major West-African land cover types, , , и . (2022)On the relevance of radiometric normalization of dense Landsat time series for forest monitoring., , , и . IGARSS, стр. 2665-2668. IEEE, (2015)Short-Term Change Detection in Wetlands Using Sentinel-1 Time Series., , , , , , , , , и . Remote. Sens., 8 (10): 795 (2016)Using RapidEye and MODIS Data Fusion to Monitor Vegetation Dynamics in Semi-Arid Rangelands in South Africa., , , , , , , и . Remote. Sens., 7 (6): 6510-6534 (2015)Monitoring of Urban Sprawl and Densification Processes in Western Germany in the Light of SDG Indicator 11.3.1 Based on an Automated Retrospective Classification Approach., , , , , , и . Remote. Sens., 13 (9): 1694 (2021)Long-Term Land Use/Land Cover Change Assessment of the Kilombero Catchment in Tanzania Using Random Forest Classification and Robust Change Vector Analysis, , , и . Remote Sensing, 12 (7): 1057 (März 2020)