%0 Conference Proceedings
%4 sid.inpe.br/marte2/2017/10.23.19.30
%2 sid.inpe.br/marte2/2017/10.23.19.30.01
%@isbn 978-85-17-00088-1
%F 60152
%T Análise do desmatamento do núcleo Itutinga-Pilões no município de Cubatão através do sensoriamento remoto
%D 2017
%A Calafati, Andréia,
%A Silva, Juliana Ferreira da,
%A Cruz, Michele Rabelo,
%A Vaz, Jhonnes Alberto,
%@electronicmailaddress julianaf.bio@gmail.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 1092-1098
%S Anais
%1 Instituto Nacional de Pesquisas Espaciais (INPE)
%X The Atlantic Forest is considered one of the richest and the most complex biomes in Brazil, but nowadays it is one of the most threatened of the world. The Serra do Mar State Park is the ecological region more prejudiced by the proximity to the big cities. Founded in 1977, the Itutinga-Pilões nucleus is influenced by the anthropic interventions and through the Cubatão citys industrialization that is one of the principal causes of the problems. The object of this present article is verify the deforestation in a qualitative way by the application of the NDVI method and using Landsat 5 and 8s satellite images of the period by 1990 until 2015 with a five-year interval. The images were processed by the QGIS 2.14.3 software and the use of Raster Calculator command became possible the application of NDVI method. The scale of colors and the values of NDVI were established through the observation of satellites images with a specific RGB composition to accentuate the vegetation. This observation was important to verify if the areas that the index indicated a big degradation were really damaged. After the images processed was possible to see the difference between the vegetations health in a period of 1990 until 2015 and the increase of deforestation. The biggest area in degradation process was seen in 2015. The remote sensing proved that it is interesting resource to verify and monitor big areas and environmental nucleus.
%9 Paisagens naturais
%@language pt
%3 60152.pdf