%0 Conference Proceedings
%4 sid.inpe.br/marte2/2017/10.27.15.50.53
%2 sid.inpe.br/marte2/2017/10.27.15.50.54
%@isbn 978-85-17-00088-1
%F 59822
%T Primeiras Experiências com Setinel-2: Mapeamento de Área Verdes na região Sudoeste do Paraná
%D 2017
%A Rufatto, Mariana Eveli,
%A Richetti, Jonathan,
%A Mengue, Diego Hendler Scheffer,
%A Fernandes, Gustavo,
%A Piasecki, Allice,
%@electronicmailaddress mariana_rufatto@hotmail.com
%E Gherardi, Douglas Francisco Marcolino,
%E Aragão, Luiz Eduardo Oliveira e Cruz de,
%B Simpósio Brasileiro de Sensoriamento Remoto, 18 (SBSR)
%C Santos
%8 28-31 maio 2017
%I Instituto Nacional de Pesquisas Espaciais (INPE)
%J São José dos Campos
%P 6582-6587
%S Anais
%1 Instituto Nacional de Pesquisas Espaciais (INPE)
%X Changes related to land use and vegetation cover are extremely dynamic. Factors associated with economic development influence the changes of the landscape by man, which combined with poor urban planning, cause many environmental impacts. The efficiency of the environmental management of a territory depends largely on surveys and previous systematic studies on the main elements and conditions of the physical environment. In this context, one of the most powerful analytical tools to mitigate and reduce the destructive effects of environmental disasters is mapping risk areas by remote sensing. This technology is emerging as an important tool for spatial analysis of various targets without the need of transportation fields, being valuable in gathering data quickly and relatively low cost. One of the main steps for the preparation of this map is the mapping of vegetation, using methods and GIS techniques and remote sensing with satellite imagery analysis. Therefore, this study aims to classify satellite images of Sentinel-2 satellite, through the supervised classification maximum likelihood method, and thus obtain reliable results for the mapping of green areas. Therefore, it is evident the importance of using tools and digital processing technologies for high-resolution images for the mapping of vegetation cover the State of Paraná, and the relevance of the decision-making subsidy to prevent possible natural disasters and humans.
%9 Mapeamento
%@language pt
%3 59822.pdf