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
Authors: SHIMABUKURO YOSIO EDEMIRBEUCHLE Rene'GRECCHI ROSANAACHARD Frederic
Citation: REMOTE SENSING LETTERS vol. 5 no. 9 p. 773–782
Publisher: TAYLOR \& FRANCIS LTD
Publication Year: 2014
JRC N°: JRC91982
ISSN: 2150-704X
URI: http://www.tandfonline.com/doi/abs/10.1080/2150704X.2014.967880#.VHWnYxA098E
http://publications.jrc.ec.europa.eu/repository/handle/JRC91982
DOI: 10.1080/2150704X.2014.967880
Type: Articles in periodicals and books
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 year 2002 (from June to October). The proposed method is based on multi-temporal image segmentation and classification of a dataset 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 year 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.
JRC Directorate:Sustainable Resources

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