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Monitoring Water-Related Ecosystems with Earth Observation Data in Support of Sustainable Development Goal (SDG) 6 Reporting., , , , , , , , , and 5 other author(s). Remote. Sens., 12 (10): 1634 (2020)Tropical Forest Canopy Structure and Change Assessment Using Landsat, GEDI, and Airborne Lidar Data., , , , , , , and . IGARSS, page 666-669. IEEE, (2021)Wheat production forecasting for Pakistan from satellite data., , , , , , and . IGARSS, page 3239-3242. IEEE, (2013)Demonstration of Percent Tree Cover Mapping Using Landsat Analysis Ready Data (ARD) and Sensitivity with Respect to Landsat ARD Processing Level., , , , and . Remote Sensing, 10 (2): 209 (2018)Predicting forest fire in the Brazilian Amazon using MODIS imagery and artificial neural networks., , , , and . Int. J. Appl. Earth Obs. Geoinformation, 11 (4): 265-272 (2009)Evaluating Landsat and RapidEye Data for Winter Wheat Mapping and Area Estimation in Punjab, Pakistan., , , , , , and . Remote. Sens., 10 (4): 489 (2018)Using Multi-Resolution Satellite Data to Quantify Land Dynamics: Applications of PlanetScope Imagery for Cropland and Tree-Cover Loss Area Estimation., , , , , , and . Remote. Sens., 13 (11): 2191 (2021)Time-series analysis of multi-resolution optical imagery for quantifying forest cover loss in Sumatra and Kalimantan, Indonesia., , , , , and . Int. J. Appl. Earth Obs. Geoinformation, 13 (2): 277-291 (2011)The global Landsat imagery database for the FAO FRA remote sensing survey., , , , , , and . Int. J. Digit. Earth, 4 (1): 2-21 (2011)Landsat Analysis Ready Data for Global Land Cover and Land Cover Change Mapping., , , , , , , , and . Remote. Sens., 12 (3): 426 (2020)