%0 Conference Proceedings
%4 dpi.inpe.br/marte/2011/07.06.13.07
%2 dpi.inpe.br/marte/2011/07.06.13.07.07
%@isbn 978-85-17-00056-0 (Internet)
%@isbn 978-85-17-00057-7 (DVD)
%T Levantamento de áreas desmatadas na sub-bacia oeste da bacia hidrográfica do Almada – Bahia
%D 2011
%A Souza, Cristiano Marcelo Pereira de,
%A Franco, Gustavo Barreto,
%A Gomes, Ronaldo Lima,
%A Marques, Eduardo Antônio Gomes,
%A Chagas, César da Silva,
%@affiliation Universidade Estadual de Santa Cruz - UESC
%@affiliation Universidade Federal de Viçosa - UFV
%@affiliation Universidade Estadual de santa Cruz - UESC
%@affiliation Universidade Federal de Viçosa – UFV
%@affiliation Embrapa Solos - RJ
%@electronicmailaddress cmpsgeografia@gmail.com
%@electronicmailaddress gustavopraia@hotmail.com
%@electronicmailaddress rlgomes@uesc.br
%@electronicmailaddress emarques@ufv.br
%@electronicmailaddress chagas.rj@gmail.com
%E Epiphanio, José Carlos Neves,
%E Galvão, Lênio Soares,
%B Simpósio Brasileiro de Sensoriamento Remoto, 15 (SBSR).
%C Curitiba
%8 30 abr. - 5 maio 2011
%I Instituto Nacional de Pesquisas Espaciais (INPE)
%J São José dos Campos
%P 2812-2818
%S Anais
%1 Instituto Nacional de Pesquisas Espaciais (INPE)
%K remote sensing, deforestation, pasture.
%X One of the major threats to biodiversity conservation in the Atlantic Forest biome is the reduction and fragmentation of forest areas, mainly by the change of land cover. So this research aims to conduct a survey of deforested areas in a sub-basin of Almada river watershed, Bahia. The review period is established for seventeen years, by analysis of Landsat satellite images 5TM 3,4,5 RGB color combinations in the years 1989 and 2006. We applied the geometric correction, and then was classified by the supervised maximum likelihood method. Subsequently the image was reclassified, where classes were isolated area of forest in each period and later on the calculator tool in ArcGIS 9.3 raster file was obtained from the result of the deforested areas through the mathematical operation subtracting the forest class of 2006 by 1989. From the calculations it was possible to observe an area of 3216.98 ha of deforestation which accounts for 9.35% of the study area.
%9 Desflorestamento
%@language pt
%3 p0292.pdf