The Use of Geotechnologies in the Analysis of Vegetation Index and Heat Island in the City of São Paulo, SP, Brazil

There is a solid body of knowledge linking urban growth to the decline of green spaces in Brazilian cities. In this context, this research aims to analyse the heat island, landscape ecology, and ecosystem services and their associated green infrastructure in São Paulo’s metropolitan area. Landscape Information will be applied to the open spaces and mapping will be done with the use of remote sensing techniques in Geographic Information System (GIS). High-resolution imagery will be used, including satellites World View-2 (panchromatic and multispectral from 0.5 to 2m), with the presence of the RGB bands and near infrared, pre-image processing will be done with filter Kuwahara. Subsequently, the classification will be supervised by MultiSpec 3.4 software, version 2010, with the following classes of land use: built area (including commercial area, residential multi-family, and single family, industrial area), asphalt, urban forest and other areas of vegetation and water surfaces. Also, the Kappa statistic will be used to calculate the accuracy of the classifications applied. Geotechnology will provide the basis for the examination of green infrastructure and the associated ecosystem services in the landscape. The vegetation index map was elaborated. The most widespread vegetation index is the Normalized Difference Vegetation Index (NDVI). The NDVI is used to characterize large areas on the density of vegetation. A thermal map will be produced in order to analyse possible heat islands in the study area. The NDVI index was related with the different temperatures in every subprefecture of the city of São Paulo. As a result of this research, it was found that areas with greater vegetation index feature lower surface temperatures. Therefore, it is intended to contribute to the local public policies emphasizing the importance of landscape planning in the pursuit of the population’s quality of life in São Paulo, SP, Brazil