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%0 Conference Proceedings
%4 sid.inpe.br/marte2/2017/10.27.12.53.56
%2 sid.inpe.br/marte2/2017/10.27.12.53.57
%@isbn 978-85-17-00088-1
%F 60032
%T Análise de Desmatamento no Município de Alta Floresta-MT por meio do Índice de Vegetação por Diferença Normalizada (NDVI)
%D 2017
%A Freire, Gabriel de Mello,
%A Oliveira, Josielly Cândida Macêdo de,
%A Sampaio, Roselene da Silva de,
%A Cruz, Sara Raquel Pereira da,
%A Lima, Wanessa Moreira de,
%A Silva Junior, Carlos Antonio da,
%@electronicmailaddress carlosjr@unemat.br
%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 2974-2980
%S Anais
%1 Instituto Nacional de Pesquisas Espaciais (INPE)
%X The present study had as objective to analyze the deforestation of forest with images of the satellites Landsat 5 and Landsat 8, with temporal difference of 10 years. In order to generate the deforestation maps of the city of Alta Floresta-MT, the software SPRING 5.4.1 was used in obtaining NDVI to better characterize the forest and exposed soil areas. Pre-processing was also done in the images as atmospheric, radiometric and geometric correction to minimize atmospheric effects that could interfere in the results. The use of time series showed clear and satisfactory results with good information regarding the deforested area for urban territorial expansion. After the elaboration of maps by Vegetation Index, it was realized by ArcGIS 10.1. the calculation for estimating the green area in the municipality for each of the years studied. The result shows that the clearing of vegetation is gradual over the ten years and despite the decree of law against these actions, there is still considerable plant suppression, however, the city has been working with environmental projects to mitigate deforestation and improve living conditions of the inhabitants and thus keep out of the list of municipalities that most deforest in the State. An overlay map was also prepared for the years 2005-2015 where it was possible to estimate the loss of vegetation by approximately 958 km2.
%9 Floresta e outros tipos de vegetação
%@language pt
%3 60032.pdf


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