Geotecnologias aplicadas ao estudo da cobertura vegetal em bacia hidrográfica: uso do software ''R''.

Abstract

Currently, remote sensing has become an excellent tool for assessing environmental degradation. The present research proposed to use the software <R= to evaluate the vegetal cover in the watershed of the river Sucuru-PB, by different indexes of vegetation. The processing of images and estimates of vegetation indexes (IV's) were performed in software <R=, adopting specific packages and mathematical routines that denote the required IV's, such as: Index of Vegetation by Normalized Difference (IVDN), Water Index by Normalized Difference (IADN) and Adjusted Vegetation Index for Soil (IVAS). According to the results, the IVDN, IADN and IVAS for the dry period ranged from -0.3 to 0.4, -1.0 to 0.6 and -0.8 to 0.4 respectively, thus indicating presence exposed soil and dry vegetation, while for the wet season the IVDN, IADN and IVAS ranged, respectively, from -1.0 to 0.4, -0.8 to 0.6 and -0.5 to 0.5, therefore, there are areas of irrigated agriculture, water courses, as well as thin and dense vegetation surrounding the basin under study. In addition, the fundamental role of remote sensing and the different (IV's) are highlighted in helping decision-making to evaluate environmental studies.