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Assessment of burned areas in Mato Grosso State, Brazil, from a systematic sample of medium resolution satellite imagery.

, , , , and . IGARSS, page 4257-4259. IEEE, (2014)

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Assessment of burned areas in Mato Grosso State, Brazil, from a systematic sample of medium resolution satellite imagery., , , , and . IGARSS, page 4257-4259. IEEE, (2014)Forest Cover Changes in Tropical South and Central America from 1990 to 2005 and Related Carbon Emissions and Removals., , , , , , , , , and 1 other author(s). Remote. Sens., 4 (5): 1369-1391 (2012)Estimating Burned Area in Mato Grosso, Brazil, Using an Object-Based Classification Method on a Systematic Sample of Medium Resolution Satellite Images., , , , , and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 8 (9): 4502-4508 (2015)Combining Landsat TM/ETM+ and ALOS AVNIR-2 Satellite Data for Tropical Forest Cover Change Detection., , , , , and . IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing, 6 (1): 102-109 (2013)Automatic Updating of an Object-Based Tropical Forest Cover Classification and Change Assessment., , , , , and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 6 (1): 66-73 (2013)A multidisciplinary approach for assessing forest degradation in the Brazilian Amazon., , , and . IGARSS, page 1941-1944. IEEE, (2015)Comparing Sentinel-2 MSI and Landsat 8 OLI Imagery for Monitoring Selective Logging in the Brazilian Amazon., , , , , and . Remote. Sens., 11 (8): 961 (2019)An integrated remote sensing and GIS approach for monitoring areas affected by selective logging: A case study in northern Mato Grosso, Brazilian Amazon., , , , , , and . Int. J. Appl. Earth Obs. Geoinformation, (2017)