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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)Virgil: a database of rich links between GDB and GenBank., and . Nucleic Acids Research, 26 (1): 100-101 (1998)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)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. Topics in Appl. Earth Observ. and Remote Sensing, 6 (1): 66-73 (2013)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. Topics in Appl. Earth Observ. and Remote Sensing, 8 (9): 4502-4508 (2015)Geo-Wiki.Org: The Use of Crowdsourcing to Improve Global Land Cover., , , , , , , and . Remote Sensing, 1 (3): 345-354 (2009)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)Urbanization and forest degradation in east Africa - a case study around Dar es Salaam, Tanzania., , , , , and . IGARSS, page 7293-7295. IEEE, (2016)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)