@Article{ShimabukuroBeucGrecAcha:2014:AsFoDe,
author = "Shimabukuro, Yosio Edemir and Beuchle, Ren{\'e} and Grecchi,
Rosana Cristina and Achard, Fr{\'e}d{\'e}ric",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)}",
title = "Assessment of forest degradation in Brazilian Amazon due to
selective logging and fires using time series of fraction images
derived from Landsat ETM+ images",
journal = "Remote Sensing Letters",
year = "2014",
volume = "5",
number = "9",
pages = "773--782",
abstract = "A method has been developed to identify and map areas of forest
degradation caused by either selective logging or fires in
tropical humid ecosystems. Our study area is located in the Mato
Grosso state of Brazil, in a region known as Deforestation Arc.
Eight consecutive Landsat Enhanced Thematic Mapper Plus (ETM+)
images were available over this study area during the dry season
of 2002 (from June to October). The proposed method is based on
multi-temporal image segmentation and classification of a data set
of soil and shade fraction images derived from Landsat ETM+
imagery. Areas of selectively logged forest are identified and
mapped from the soil fraction images, whereas burned forest areas
are identified and mapped from the shade fraction images combined
with a map of deforestation happening during 2002. The main
benefit of this approach is the capability to discriminate
selectively logged forest from burned forest, which is a very
important issue for estimating carbon emissions from forest
degradation.",
doi = "10.1080/2150704X.2014.967880",
url = "http://dx.doi.org/10.1080/2150704X.2014.967880",
issn = "2150-704X",
label = "lattes: 1913003589198061 1 ShimabukuroBeucGrecAcha:2014:AsFoDe",
language = "en",
urlaccessdate = "29 jun. 2024"
}