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Detecting Vegetation Response to Oil Pollution Using Hyperspectral Indices., , и . IGARSS, стр. 3963-3966. IEEE, (2018)Near Real-Time Change Detection System Using Sentinel-2 and Machine Learning: A Test for Mexican and Colombian Forests., , , , , , , , , и 7 other автор(ы). Remote. Sens., 14 (3): 707 (2022)Airborne S-Band SAR for Forest Biophysical Retrieval in Temperate Mixed Forests of the UK., , , , , , , , , и 13 other автор(ы). Remote. Sens., 8 (7): 609 (2016)Validation of Hourly Global Horizontal Irradiance for Two Satellite-Derived Datasets in Northeast Iraq., , , , , и . Remote. Sens., 10 (10): 1651 (2018)Evaluating Sentinel-2 for Lakeshore Habitat Mapping Based on Airborne Hyperspectral Data., , , , и . Sensors, 15 (9): 22956-22969 (2015)Normalized Difference Vegetation Vigour Index: A New Remote Sensing Approach to Biodiversity Monitoring in Oil Polluted Regions., , и . Remote Sensing, 10 (6): 897 (2018)Oil Spill SAR Image Segmentation via Probability Distribution Modelling., , , , и . CoRR, (2021)Forest biomass retrieval approaches from earth observation in different biomes., , , , , , , , , и 9 other автор(ы). Int. J. Appl. Earth Obs. Geoinformation, (2019)Biomass estimation of Thetford forest from L-band SAR data: potential and limitations., , , , , и . IGARSS, стр. 2577-2579. IEEE, (2003)Post-fire vegetation phenology in Siberian burn scars., , , и . IGARSS, стр. 4652-4655. IEEE, (2007)