%0 Conference Proceedings
%4 ltid.inpe.br/sbsr/2004/11.19.18.49
%2 ltid.inpe.br/sbsr/2004/11.19.18.49.22
%@isbn 85-17-00018-8
%T Utilização de dados multitemporais do sensor MODIS para o mapeamento da cobertura e uso da terra
%D 2005
%A Anderson, Liana Oighenstein,
%A Shimabukuro, Yosio Edemir,
%A DeFries, Ruth Sarah,
%A Morton, Douglas Christopher,
%A Espírito-Santo, Fernando Del Bon,
%A Jasinsky, Ellen,
%A Hansen, Matthew,
%A Lima, André,
%A Duarte, Valdete,
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@affiliation University of Maryland
%@affiliation University of Maryland
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@affiliation University of Maryland
%@affiliation University of Maryland
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@electronicmailaddress liana@ltid.inpe.br
%@electronicmailaddress yosio@ltid.inpe.br
%@electronicmailaddress
%@electronicmailaddress
%@electronicmailaddress fernando@ltid.inpe.br
%@electronicmailaddress
%@electronicmailaddress
%@electronicmailaddress andre@ltid.inpe.br
%@electronicmailaddress valdete@ltid.inpe.br
%E Epiphanio, José Carlos Neves,
%E Fonseca, Leila Maria Garcia,
%B Simpósio Brasileiro de Sensoriamento Remoto, 12 (SBSR)
%C Goiânia
%8 16-21 abr. 2005
%I INPE
%J São José dos Campos
%P 3443-3450
%S Anais
%1 Instituto Nacional de Pesquisas Espaciais
%K Land cover mapping, remote sensing, MODIS sensor, mapeamento da cobertura vegetal, Sensoriamento Remoto, sensor MODIS.
%X On the last decades, the remote sensing became an important source of information to monitor the natural resources of the planet, due to its possibility to acquire data over large regions. The images derived from remote sensing instruments are an excellent source of information to produce land cover and vegetation maps. Recent estimates of changes occurring in the land cover point to the agricultural intensification, deforestation in the tropic, pastureland expansion, and urbanization as the currently main forces. So, it is unquestionable the importance of developing an accurate map of the different vegetation formations, as base for conservation studies, and studies that involve global change, such as climate change and carbon and hydrological balance. The main objective of this paper is to present a methodological approach to land cover mapping using MODIS multitemporal sensor data. The map generated in this research presents the classification of different vegetation classes, anthropic areas and soybean cultivation areas, over the Mato Grosso State. For the validation purpose, we had two fieldworks, one in 2002 and other in 2004, registering more than 1000 GPS ground truth points.
%9 Métodos de Análise em Sensoriamento Remoto e GIS
%@language Português
%3 3443.pdf