Camila Cristina’s research while affiliated with São Paulo State University and other places

The environment issues and its current situation, is now the subject of many studies and discussions in several areas, and a concern to the world order and crucial to the humankind future. This reality encourages the man to comprehend its interrelationship with the nature and to find means and measures to understand the nature dinamycs, thereby allowing the development of new techniques and methodes, among which stand out the Remote Sensing and GIS. This study used these tools for the analysis and spatial representation of the use and occupation of the Água da Limeira's watersheds, sub-basin of the Rio Pardo, São Paulo State southwest, as well as the analysis of this use in Permanent Preservation Areas (APPs) through technical Buffer. Such an analysis was possible by mapping the land use by maximum Likelihood supervised classification algorithm for fused image using images from the Japanese satellite ALOS sensors AVNIR-2 and PRISM, followed by the analysis of the accuracy of mapping land use and occupation by the coefficient Kappa, in order to evaluate the agreement between the ground truth data and thematic map. Through the analysis of land use, it was possible established the predominance of the sugarcane cultivation (50.63%), grassland (19.48%) and areas of exposed soil (16.48%), these areas soil preparation for planting of cultivation, or soil newly harvested crop, while areas of native forests and riparian forests represent only 11.1%. Palavras-chave: land use maps; Kappa coefficient; images classification; image fusion; uso e ocupação; coeficiente Kappa; classificação de imagens, fusão de imagem.