@InProceedings{SantosJrPonzChav:2015:UtDaPr,
author = "Santos Junior, Juvenal Lima dos and Ponzoni, Fl{\'a}vio Jorge and
Chaves, Joselisa Maria",
affiliation = "{} and {Instituto Nacional de Pesquisas Espaciais (INPE)}",
title = "Utiliza{\c{c}}{\~a}o de dados provenientes do Modelo Linear de
Mistura Espectral e {\'{\I}}ndice de Vegeta{\c{c}}{\~a}o por
Diferen{\c{c}}a Normalizada em imagens TM/Landsat 5 e
ETM+/Landsat 7 para a verifica{\c{c}}{\~a}o de
altera{\c{c}}{\~o}es da cobertura vegetal na APA do Pratigi -
BA",
booktitle = "Anais...",
year = "2015",
editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz
Eduardo Oliveira e Cruz de",
pages = "2171--2177",
organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 17. (SBSR)",
publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
address = "S{\~a}o Jos{\'e} dos Campos",
abstract = "The Area of Environmental Protection of Pratigi is located in down
south of Bahia state. In this area there is the presence of
vegetation types in the Atlantic Forest threatened due to
deforestation caused by the development of agricultural crops.
This study aimed to evaluate the contribution of the fraction
images, derived from the linear spectral mixture model and
vegetation index (NDVI) images to monitor the dynamics of
vegetation cover in the APA region pratigi - BA, between the years
2000 2001, 2003 and 2006. The fraction images (vegetation, soil
and shade or water) and vegetation index were derived from digital
data from sensors TM / Landsat 5 and ETM + / Landsat 7. The models
were calculated and four years later was performed the statistical
per polygon and estimated the average fraction images of points
under study. The vegetation index was also calculated, which can
be observed changes in vegetation cover of the APA pratigi. It was
found similarities between the sensitivity to changes in
vegetation cover of the study area, both as models for the
vegetation index.",
conference-location = "Jo{\~a}o Pessoa",
conference-year = "25-29 abr. 2015",
isbn = "978-85-17-0076-8",
label = "440",
language = "pt",
organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
ibi = "8JMKD3MGP6W34M/3JM49MS",
url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3JM49MS",
targetfile = "p0440.pdf",
type = "Floresta e vegeta{\c{c}}{\~a}o",
urlaccessdate = "27 abr. 2024"
}