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Landsat and Sentinel-2 Based Burned Area Mapping Tools in Google Earth Engine., , , and . Remote. Sens., 13 (4): 816 (2021)A Preliminary Global Automatic Burned-Area Algorithm at Medium Resolution in Google Earth Engine., , , and . Remote. Sens., 13 (21): 4298 (2021)Burned Area Detection and Mapping: Intercomparison of Sentinel-1 and Sentinel-2 Based Algorithms over Tropical Africa., , , , , , , , , and 2 other author(s). Remote. Sens., 12 (2): 334 (2020)Sentinel-2 Reference Fire Perimeters for the Assessment of Burned Area Products over Latin America and the Caribbean for the Year 2019., , , and . Remote. Sens., 16 (7): 1166 (April 2024)BAMS: A Tool for Supervised Burned Area Mapping Using Landsat Data., , , , , , , and . Remote Sensing, 6 (12): 12360-12380 (2014)Automatic Burned Land Mapping From MODIS Time Series Images: Assessment in Mediterranean Ecosystems., , and . IEEE Trans. Geosci. Remote. Sens., 49 (9): 3401-3413 (2011)Above-ground biomass estimation from LiDAR data using random forest algorithms., , , , and . J. Comput. Sci., (2022)Coordination and Cooperative Learning in Engineering Studies., , , , and . SOCO-CISIS-ICEUTE, volume 527 of Advances in Intelligent Systems and Computing, page 701-710. (2016)