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Improving Wheat Yield Estimates by Integrating a Remotely Sensed Drought Monitoring Index Into the Simple Algorithm for Yield Estimate Model., , , , , , и . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., (2021)Tiger Habitat Quality Modelling in Malaysia with Sentinel-2 and InVEST., , , , , и . Remote. Sens., 16 (2): 284 (января 2024)Use of data from the VEGETATION instrument for global environmental monitoring: some lessons from the GLC 2000 and the GBA 2000 projects., , , , , , , , , и 1 other автор(ы). IGARSS, стр. 576-578. IEEE, (2003)Automatic checkerboard detection for camera calibration using self-correlation., , , , , , , и . J. Electronic Imaging, 27 (03): 033014 (2018)Tropical forest structure observation with TanDEM-X data., , , , , , , , , и 3 other автор(ы). IGARSS, стр. 918-921. IEEE, (2017)A graph-based deep learning framework for field scale wheat yield estimation., , , , и . Int. J. Appl. Earth Obs. Geoinformation, (2024)The ESA climate change initiative: Merging burned area estimates for the Fire Essential Climate Variable., , и . IGARSS, стр. 7153-7156. IEEE, (2012)Pyeo: A Python package for near-real-time forest cover change detection from Earth observation using machine learning., , , , , , , , , и 7 other автор(ы). Comput. Geosci., (2022)The Impact of Vegetation on Lithological Mapping Using Airborne Multispectral Data: A Case Study for the North Troodos Region, Cyprus., , , и . Remote. Sens., 6 (11): 10860-10887 (2014)Exploring Spatial Patterns of Tropical Peatland Subsidence in Selangor, Malaysia Using the APSIS-DInSAR Technique., , , , , , , , , и 2 other автор(ы). Remote. Sens., 16 (12): 2249 (июня 2024)