@InProceedings{ShimabukuroBGAMSGDAAA:2015:DeFoDe,
author = "Shimabukuro, Yosio Edemir and Beuchle, Ren{\'e} and Grecchi,
Rosana Cristina and Achard, Fr{\'e}d{\'e}ric and Miettinen,
Jukka and Simonetti, Dario and Gomez, Marcela Velasco and Duarte,
Valdete and Arai, Egidio and Anderson, Liana Oighenstein and
Arag{\~a}o, Luiz Eduardo Oliveira e Cruz de",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {} and {}
and {} and {} and {} and {} and {Instituto Nacional de Pesquisas
Espaciais (INPE)} and {Instituto Nacional de Pesquisas Espaciais
(INPE)} and {} and {Instituto Nacional de Pesquisas Espaciais
(INPE)}",
title = "Detection of forest degradation caused by fires in Amazonia from
time series of MODIS fraction images",
booktitle = "Anais...",
year = "2015",
editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz
Eduardo Oliveira e Cruz de",
pages = "651--658",
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",
keywords = "burned forests, tropical ecosystem.",
abstract = "A new method is presented to detect and assess the extent of
burned forests in a tropical ecosystem. Our study area is located
in Mato Grosso state southern flank of the Brazilian Amazon
region. MODIS images are used over the dry season of year 2010.
The proposed method is based on (i) linear spectral mixing model
applied to MODIS imagery to derive soil and shade fraction images
and (ii) image segmentation and classification applied to a
multi-temporal dataset of MODIS-derived images. In a first step,
deforested areas are identified and mapped from the soil fraction
images while burned areas are identified and mapped from the shade
fraction images. Then, burned forest areas are mapped by combining
a forest/non forest mask with the resulting burned area map. Our
results show that 14,220 km2 of forests were degraded by fire in
Mato Grosso during year 2010. Our approach can be potentially used
operationally for detecting forest degradation due to fires. The
proposed method can also be applied to time series of medium and
high spatial resolution images for regional and local analysis.",
conference-location = "Jo{\~a}o Pessoa",
conference-year = "25-29 abr. 2015",
isbn = "978-85-17-0076-8",
label = "127",
language = "en",
organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
ibi = "8JMKD3MGP6W34M/3JM45GQ",
url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3JM45GQ",
targetfile = "p0127.pdf",
type = "Degrada{\c{c}}{\~a}o de florestas",
urlaccessdate = "15 jun. 2024"
}