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Automatic change detection in RapidEye data using the combined MAD and kernel MAF methods., , , and . IGARSS, page 3078-3081. IEEE, (2010)Robust Change Vector Analysis (RCVA) for multi-sensor very high resolution optical satellite data., , , and . Int. J. Appl. Earth Obs. Geoinformation, (2016)Mapping Wetland Dynamics With SAR-Based Change Detection in the Cloud., , , , and . IEEE Geosci. Remote. Sens. Lett., 16 (10): 1536-1539 (2019)A First Assessment of Canopy Cover Loss in Germany's Forests after the 2018–2020 Drought Years, , , , , , and . Remote Sensing, 14 (3): 562 (January 2022)Long-Term Land Use/Land Cover Change Assessment of the Kilombero Catchment in Tanzania Using Random Forest Classification and Robust Change Vector Analysis, , , and . Remote Sensing, 12 (7): 1057 (März 2020)Using RapidEye and MODIS Data Fusion to Monitor Vegetation Dynamics in Semi-Arid Rangelands in South Africa., , , , , , , and . 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., , , , , , and . Remote. Sens., 13 (9): 1694 (2021)Short-Term Change Detection in Wetlands Using Sentinel-1 Time Series., , , , , , , , , and . Remote. Sens., 8 (10): 795 (2016)On the relevance of radiometric normalization of dense Landsat time series for forest monitoring., , , and . IGARSS, page 2665-2668. IEEE, (2015)SAR phenology across major West-African land cover types, , , and . (2022)