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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)

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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)The World Fire Web: proposal of a new discriminant function to increase the fire detection accuracy at global level., , and . IGARSS, page 2099-2102. IEEE, (2004)Land Cover Change Monitoring Using Landsat MSS/TM Satellite Image Data over West Africa between 1975 and 1990., , , , and . Remote Sensing, 6 (1): 658-676 (2014)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)Harmonization of pan-tropical biomass maps using an R2-weighted data fusion approach - A case study for the Amazon biome., , , , and . IGARSS, page 2056-2059. IEEE, (2015)Interannual Changes of Fire Activity in the Protected Areas of the SUN Network and Other Parks and Reserves of the West and Central Africa Region Derived from MODIS Observations., and . Remote Sensing, 2 (2): 446-463 (2010)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)First Results From the Phenology-Based Synthesis Classifier Using Landsat 8 Imagery., , , , and . IEEE Geosci. Remote. Sens. Lett., 12 (7): 1496-1500 (2015)Fast and Robust Topographic Correction Method for Medium Resolution Satellite Imagery Using a Stratified Approach., and . IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing, 6 (4): 1921-1933 (2013)Multi-Sensor Monitoring System for Forest Cover Change Assessment in Central Africa., , , and . IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing, 6 (1): 110-120 (2013)