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	Provedor de dados Acta Amazonica (1) AGRIAMBI (1) Autor ESCADA,Maria Isabel Sobral (1) FONSECA,Leila Maria Garcia (1) KÖRTING,Thales Sehn (1) NEVES,Alana Kasahara (1) Silva,Diego S. da (1) Tornquist,Carlos G. (1) Mais... Palavra-chave Geospatial analysis (2) CLUE-S (1) Classification system (1) Environmental modeling (1) Grasslands (1) Land cover (1) Non-forest (1) PRODES (1) Remote sensing (1) Mais... Tipo do documento Info:eu-repo/semantics/article (2) Ano 2020 (1) 2019 (1) País Brazil (2) Idioma Inglês (2)		Ordenar por:  Relevância Autor Título Ano Registros recuperados: 2 Primeira ... 1 ... Última Assessment of TerraClass and MapBiomas data on legend and map agreement for the Brazilian Amazon biome Acta Amazonica NEVES,Alana Kasahara; KÖRTING,Thales Sehn; FONSECA,Leila Maria Garcia; ESCADA,Maria Isabel Sobral. ABSTRACT Reliable environmental monitoring and evaluation require high-quality maps of land use and land cover. For the Amazon biome, the TerraClass and MapBiomas projects apply different methodologies to create these maps. We evaluated the agreement between land cover and land use maps generated by TerraClass and MapBiomas (Collections 2 and 3) for the Brazilian Amazon biome, from 2004 to 2014. Specifically, we: (1) described both project legends based on the LCCS (Land Cover Classification System); (2) analyzed the differences between their classes; and (3) compared the mapping differences among the Brazilian states that are totally or partially covered by the Amazon biome. We compared the classifications with a per-pixel approach and performed an... Tipo: Info:eu-repo/semantics/article Palavras-chave: Land cover; Classification system; Remote sensing; PRODES; Non-forest; Geospatial analysis. Ano: 2020 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0044-59672020000200170 Current and future land use and land cover scenarios in the Arroio Marrecas watershed AGRIAMBI Tornquist,Carlos G.; Silva,Diego S. da. ABSTRACT This study evaluated historic land use and land cover changes in the Arroio Marrecas watershed (Caxias do Sul, Rio Grande do Sul state of Brazil) and simulated future land use scenarios until 2034. Spatial and temporal simulations were conducted with the Conversion of Land Use and its Effects - Small Regional Extent (CLUE-S) model. Three land use scenarios were developed to include public policies and agricultural trends in the study region for 20 years (2015-2034). Geospatial analysis of different land uses showed that areas that were originally covered grasslands and forests decreased, which can be attributed to the expansion of intensive agricultural uses, such as fruit farming/forestry and urbanization. The reallocation dynamics of land use... Tipo: Info:eu-repo/semantics/article Palavras-chave: Geospatial analysis; Environmental modeling; CLUE-S; Grasslands. Ano: 2019 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662019000300215 Registros recuperados: 2 Primeira ... 1 ... Última

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