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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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Combining available land cover and tree cover maps for producing a hybrid forest map of Africa at 30M., and . IGARSS, page 1961-1963. IEEE, (2015)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)The GBFM radar mosaic of the Eurasian Taiga: a groundwork for the bio-physical characterization of an ecosystem with relevance to global change studies., , , and . IGARSS, page 1625-1627. IEEE, (2003)Use of data from the VEGETATION instrument for global environmental monitoring: some lessons from the GLC 2000 and the GBA 2000 projects., , , , , , , , , and 1 other author(s). IGARSS, page 576-578. IEEE, (2003)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)Performance Assessment of Recent Tropical Forest Monitoring Products for REDD+ Operational Services., , , , and . IGARSS, page 1011-1014. IEEE, (2021)Urbanization and forest degradation in east Africa - a case study around Dar es Salaam, Tanzania., , , , , and . IGARSS, page 7293-7295. IEEE, (2016)A multidisciplinary approach for assessing forest degradation in the Brazilian Amazon., , , and . IGARSS, page 1941-1944. IEEE, (2015)Consistent forest change maps 1981-2000 from the AVHRR time series: Case studies for South America and Indonesia., , , , , , , , and . MultiTemp, page 1-4. IEEE, (2015)Assessing forest degradation from selective logging using time series of fine spatial resolution imagery in Republic of Congo., , and . IGARSS, page 2044-2047. IEEE, (2015)