@article{oai:nagoya.repo.nii.ac.jp:00012564,
 author = {Maruyama, Megumi and Yamaguchi, Yasushi},
 journal = {IEEE International Geoscience and Remote Sensing Symposium (IGARSS)},
 month = {},
 note = {This paper summarizes the result of vegetation cover changes in Mato Grosso State in Amazonia, Central-West of Brazil. The study area is covered by Landsat TM Imagery Path 227 and Row 69, where soybean plantation spreads along the Highway BR 163. With the Global demand for biofuel, it recently became one of the main export crops in Brazil, causing large-scale deforestation in the Brazilian Amazon. Using multi-temporal imageries of the same area, alteration of vegetation cover was analyzed, performing unsupervised classification using NDVI analysis. Also, visual interpretation of deforestation within anthropogenic polygons was done within the natural forests. As a result, we concluded that the forest cover decreased from 76% in 1991 to 13% in 2009 in that area.},
 pages = {367--370},
 title = {ANALYSIS OF DEFORESTATION IN MATO GROSSO USING MULTI-TEMPORAL LANDSAT TM IMAGERIES},
 year = {2010}
}