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Ellen Jasinski, Douglas Morton, Ruth DeFries, Yosio Shimabukuro, Liana Anderson, and Matthew Hansen

precipitation, distance from paved roads, and land-cover type prior to conversion to mechanized agriculture. Spatial datasets of these variables were then combined using a geographic information system (GIS) and compared to a 2003 land-cover classification ( Morton et al. 2005 ). Figures 2 – 6 show the data layers for Mato Grosso. In addition, several spatially explicit datasets showing boundaries of state and federal protected lands, provided by the Instituto Brasileiro do Meio Ambiente e dos Recursos

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Jeffrey T. Morisette, Louis Giglio, Ivan Csiszar, Alberto Setzer, Wilfrid Schroeder, Douglas Morton, and Christopher O. Justice

(CEOS) global validation activities. These international entities have helped define the role of regional partners in validating global fire products (see information online at http://gofc-fire.umd.edu ). Integration with GOFC/GOLD and CEOS maximizes the applicability of this research beyond Brazil to the international effort to better understand global fire product accuracy. The primary goal of this paper is to evaluate the characteristics of two fire detection algorithms, both of which are

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