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Intensive mechanized agriculture in the Brazilian Amazon grew by >3.6 million hectares (ha) during 2001-2004. Whether this cropland expansion resulted from intensified use of land previously cleared for cattle ranching or new deforestation has not been quantified and has major implications for future deforestation dynamics, carbon fluxes, forest(More)
This work presents a methodology that uses digital fraction images derived from Linear Spectral Mixture Model and wavelets transform from MODIS satellite sensor time-series for land cover change analysis. Our approach uses MODIS surface reflectance images acquired from 2000 to 2006 time period. For this study, a test site was selected in the Mato Grosso(More)
The use of biofuels to mitigate global carbon emissions is highly dependent on direct and indirect land use changes (LUC). The direct LUC (dLUC) can be accurately evaluated using remote sensing images. In this work we evaluated the dLUC of about 4 million hectares of sugarcane expanded from 2005 to 2010 in the South-central region of Brazil. This region has(More)
This paper discusses the use of a JERS-1 Synthetic Aperture Radar (SAR) time-series for mapping and monitoring land cover in a test site in the region of Corumbiara, Rondônia State, western Brazilian Amazônia. In order to support JERS-1 data analysis, land cover maps were obtained by digital classification of Landsat TM images acquired from 1993 to 1997(More)
This paper presents the use of multitemporal remote sensing data for monitoring land cover changes in Acre State, western Brazilian Amazonia. 2007 Terra MODIS images were also used to map deforestation occurred during the recent years and to map burned areas occurred in the 2005 dry year. The ETM+, TM, MSS and MODIS images were converted to vegetation,(More)