%0 Conference Proceedings
%4 dpi.inpe.br/marte2/2013/05.29.00.30.05
%2 dpi.inpe.br/marte2/2013/05.29.00.30.06
%@isbn 978-85-17-00066-9 (Internet)
%@isbn 978-85-17-00065-2 (DVD)
%F 1163
%T Variação espaço-temporal de NDVI em remanescentes de fitofisionomias da Mata Atlântica na Bacia Hidrográfica do Rio dos Sinos - RS
%D 2013
%A Oliveira, Letícia Celise Ballejo de,
%A Guasselli, Laurindo Antônio,
%@electronicmailaddress leticelise@yahoo.com.br
%E Epiphanio, José Carlos Neves,
%E Galvão, Lênio Soares,
%B Simpósio Brasileiro de Sensoriamento Remoto, 16 (SBSR)
%C Foz do Iguaçu
%8 13-18 abr. 2013
%I Instituto Nacional de Pesquisas Espaciais (INPE)
%J São José dos Campos
%P 3176-3182
%S Anais
%1 Instituto Nacional de Pesquisas Espaciais (INPE)
%X The application of NDVI (Normalized Difference Vegetation Index) in forests enables the analysis of their seasonal behavior, the diagnosis of spatiotemporal changes and phenological monitoring. This study aims to analyze the spatial-temporal variation of NDVI in remaining areas of vegetation types that comprise the Atlantic Forest in river basin of the Sinos, RS, Brasil. For this we used a time series of 205 images dates of the MODIS NDVI, where through the TSA tool, generated a set of three Principal Components (CP1, CP2, CP3) for winter and for summer. After we analyzed the average values of pixels of three samples for each vegetation type that comprise the Atlantic Forest: Forest of Semideciduous Lowland, Lower Montane Semideciduous Forest, Forest Semideciduous Montana, Araucaria Forest and Steppe, totaling 15 samples for each CP per season. It is noteworthy that the brightness values related to CP1 winter and summer are different, which shows the seasonal pattern of vegetation, especially in Semideciduous Forest. It should be noted also that the CP3 were those that showed better discrimination between classes of vegetation types, from the difference in brightness values between samples. Therefore, it was concluded that the analysis of time series by CP, compared with the individual images of NDVI, become more efficient in discriminating the classes of vegetation types as well, evidenced most clearly the seasonal behavior of the Atlantic Forest.
%9 Floresta e Vegetação
%@language pt
%3 p1163.pdf