Simulação para implantação de telhado verde e de sistema de aproveitamento de água de chuva em escola do Semiárido Nordestino.

Abstract

Over the years, monitoring of the vegetation cover and climate change of the Brazilian semiarid region should be seen as an efficient safety measure in an attempt to mitigate the effects of droughts in the region. The safety of monitoring of the semi-arid region in the face of climatic variability and anthropogenic actions establish the vulnerability of this region. The analysis of space-time variation of surface albedo and Enhancement Vegetation Index, in parallel with studies on accumulated precipitation, become effective actions for the inspection of this area, with characteristics and environmental richness unique to Brazil. Thus, this study aims to identify degraded areas of the semi-arid region, especially the cut-off area of the contribution basin of the Boqueirão reservoir, from the 215/065 scene (orbit / point), using long time series of remote sensing. To this end, satellite imagery of the Landsat family was used, in a temporal interval of 34 years, together with meteorological data for application in the Automatic Processing Service of SEBAL and consequent obtaining of the desired byproducts, surface albedo and index of enhancement of the vegetation. Then, the linear correlation coefficient was calculated between the spectral variables and the time to identify the areas of degradation. The results obtained demonstrated importance of the orbital data processing automatic systems, which allowed the production of a large volume of information for the study area. The variables used proved to be efficient in the process of monitoring changes in land cover, demonstrating the capacity of the remote sensing to monitor the spatial and temporal variability of the semiarid vegetation.