Application of the Linear Spectral Mixture Model in vegetation change detection based on the Green Vegetation Index

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The Amazon forest, which is one of the main tropical forests in the globe, has been undergoing to anthropogenic pressure, what could lead to forest loss and degradation. As a consequence, public policies focusing on preservation, conservation and monitoring are mandatory, especially in protected areas. The use of satellite imagery allows a better understanding of how human activities are causing land use and land cover change (LULCC). The aim of this study is to identify land cover change from 2001 to 2004, inside and outside the National Forest of Tapajós (FLONA Tapajós), using the Linear Spectral Mixture Model (LSMM) and a Green Vegetation (GV) index. Results showed that the biggest changes between 2001 and 2004 occurred outside the FLONA. The GV Index was more suited to detect small losses of vegetation than the GV fraction alone.