High spatial resolution land use and land cover mapping of the Brazilian Legal Amazon in 2008 using Landsat-5/TM and MODIS data.

Understanding spatial patterns of land use and land cover is essential for studies addressing biodiversity, climate change and environmental modeling as well as for the design and monitoring of land use policies. The aim of this study was to create a detailed map of land use land cover of the deforested areas of the Brazilian Legal Amazon up to 2008. Deforestation data from and uses were mapped with Landsat-5/TM images analysed with techniques, such as linear spectral mixture model, threshold slicing and visual interpretation, aided by temporal information extracted from NDVI MODIS time series. The result is a high spatial resolution of land use and land cover map of the entire Brazilian Legal Amazon for the year 2008 and corresponding calculation of area occupied by different land use classes. The results showed that the four classes of Pasture covered 62% of the deforested areas of the Brazilian Legal Amazon, followed by Secondary Vegetation with 21%. The area occupied by Annual Agriculture covered less than 5% of deforested areas; the remaining areas were distributed among six other land use classes. The maps generated from this project ? called TerraClass - are available at INPE?s web site (http://www.inpe.br/cra/projetos_pesquisas/terraclass2008.php)

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Bibliographic Details
Main Authors: ALMEIDA, C. A. de, COUTINHO, A. C., ESQUERDO, J. C. D. M., ADAMI, M., VENTURIERI, A., DINIZ, C. G., DESSAY, N., DURIEUX, L., GOMES, A. R.
Other Authors: CLÁUDIO APARECIDO DE ALMEIDA, INPE; ALEXANDRE CAMARGO COUTINHO, CNPTIA; JÚLIO CÉSAR DALLA MORA ESQUERDO, CNPTIA; MARCOS ADAMI, INPE; ADRIANO VENTURIERI, CPATU; CESAR GUERREIRO DINIZ, INPE; NADINE DESSAY, Institut de Recherche pour le Développement (IRD); Laurent DURIEUX, Institut de Recherche pour le Développement (IRD); ALESSANDRA RODRIGUES GOMES, INPE.
Format: Artigo de periódico biblioteca
Language:English
eng
Published: 2016-06-28
Subjects:Desflorestamento Tropical, TerraClass, Processamento de Imagens., Sensoriamento Remoto., Remote sensing, Image analysis, Deforestation,
Online Access:http://www.alice.cnptia.embrapa.br/alice/handle/doc/1047957
http://dx.doi.org/10.1590/1809-4392201505504
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