@InProceedings{CassolMoraShim:2015:DeTeSe,
author = "Cassol, Henrique Luis Godinho and Moraes, Elisabete Caria and
Shimabukuro, Yosio Edemir",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto
Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de
Pesquisas Espaciais (INPE)}",
title = "Detec{\c{c}}{\~a}o temporal semiautom{\'a}tica de desmatamento
na Floresta Ombr{\'o}fila Mista via sensoriamento remoto",
booktitle = "Anais...",
year = "2015",
editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz
Eduardo Oliveira e Cruz de",
pages = "4914--4921",
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 = "In this work, we discuss the use of principal component analysis
(PCA) and Asymmetric Fragmentation Operator (AFO) for evaluating
the deforestation in Araucaria Forest. Thus, we asked: is it
possible to detect forest loss basing on anomalies of temporal
spectrum from forest? To answer this question were utilized two
changed detection analyses, PCA and AFO, on two singular pixels
with deforestation behavior time-series EVI with 16 days
composition derived from MODIS. The results showed that PCA
separated deforestation dates of forest time series mainly on two
principal components. These principal components could be used to
detecting the date of forest loss in a semi-automated approach.
Semi-automated because is necessary a forest class masking before
analysis. The AFO do not adequately separated deforestation from
temporal spectrum of forest, however, data transformation could
improve its analysis and the change detection.",
conference-location = "Jo{\~a}o Pessoa",
conference-year = "25-29 abr. 2015",
isbn = "978-85-17-0076-8",
label = "959",
language = "pt",
organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
ibi = "8JMKD3MGP6W34M/3JM4DDF",
url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3JM4DDF",
targetfile = "p0959.pdf",
type = "Mudan{\c{c}}a de uso e cobertura da Terra",
urlaccessdate = "03 jun. 2024"
}