%0 Conference Proceedings
%4 dpi.inpe.br/sbsr@80/2008/11.17.18.42
%2 dpi.inpe.br/sbsr@80/2008/11.17.18.42.09
%@isbn 978-85-17-00044-7
%T Aplicações do sensoriamento remoto e do geoprocessamento. Estudo de caso: bacia do rio do Sono, TO – Brasil
%D 2009
%A Sousa, Marineide Alves de,
%A Ribeiro, Rômulo José da Costa,
%A Carneiro, Paulo Jorge Rosa,
%@affiliation Universidade Católica de Brasília
%@affiliation Universidade Católica de Brasília
%@affiliation Larrosa & Santos Consultores Associados Ltda
%@electronicmailaddress neide@ucb.br
%@electronicmailaddress rjcosta@ucb.br
%@electronicmailaddress paulo.carneiro@lsca.com.br
%E Epiphanio, José Carlos Neves,
%E Galvão, Lênio Soares,
%B Simpósio Brasileiro de Sensoriamento Remoto, 14 (SBSR)
%C Natal
%8 25-30 abr. 2009
%I Instituto Nacional de Pesquisas Espaciais (INPE)
%J São José dos Campos
%P 2241-2248
%S Anais
%1 Instituto Nacional de Pesquisas Espaciais (INPE)
%K CBERS image, Remote Detection, Geoprocessing of images, hydrographic basin, detecção remota, geoprocessamento de imagens, bacia hidrográfica.
%X This work aims to study the remote detection and the geoprocessing applications from the satellite images of the CBERS-2 made available by the Brazilian National Space Research Institute (INPE). The Sono River Basin, located in the east of Tocantins, was analyzed using techniques such as satellite mosaic images, digital image georeferencing, and the classification of the use and occupation of the soil. Thematic maps were elaborated from the National Water Agency databases, which were made available by the Catholic University of Brasilia Post-Graduation course in Planning and Environmental Management. The Envi 4.3 and ArcGis 9.0 software were used for the digital image processing . The boarder adjustment tools available in the Envi were found to be efficient because the final mosaic that was generated did not present imperfections but did present homogeneous texture and colors. The georeferencing of the images was facilitated by the initial treatment offered by the INPE and was further enhanced by the CBERS images. The Maxver and Parallelepiped methods were used in the classification of the use and occupation of the basin. The Maxver method presented the best results for the classification while the Parallelepiped method presented incoherent results. The use of remote detection and image geoprocessing to generate thematic maps permits the obtainment of important, fast, and accurate information. The geoprocessing permitted the acquisition of the data regarding soil use and the quantification of occupied areas, revealing itself to be an efficient tool in terms of saving time as well as in terms of resources.
%9 CBERS: Avaliação e Aplicações
%@language pt
%3 2241-2248.pdf