Mapping fractional forest cover across the highlands of mainland Southeast Asia using MODIS data and regression tree modelling

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Mapping fractional forest cover across the highlands of mainland Southeast Asia using MODIS data and regression tree modelling

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Publication Article, peer reviewed scientific
Title Mapping fractional forest cover across the highlands of mainland Southeast Asia using MODIS data and regression tree modelling
Author(s) Jönsson, Per ; Tottrup, C ; Rasmussen, M.S. ; Eklundh, Lars
Date 2007
English abstract
Data from the moderate-resolution imaging spectroradiometer (MODIS) sensor, in combination with new mapping techniques, has the potential to improve regional research on tropical forest resources and land use dynamics. In this study, a supervised regression tree model was used to map fractions of (1) mature forest, (2) secondary forest, and (3) non-forest, using multi-temporal MODIS 250-m data as explanatory variables, and land cover information derived from high-spatial resolution image data as the response variables. From independent validation data, the overall mean absolute deviation of the resulting maps are estimated at 14.6% for mature forest, 21.6% for secondary forest, and 17.1% for non-forest cover. This study shows the increased potential of this new mapping technique to infer human imprints on forest cover across the highlands of mainland Southeast Asia, compared to other existing map sources.
DOI http://dx.doi.org/10.1080/01431160600784218 (link to publisher's fulltext)
Publisher Taylor & Francis
Host/Issue International Journal of Remote Sensing
Volume 28
Pages 23-46
Language eng (iso)
Subject(s) Sciences
Research Subject Categories::NATURAL SCIENCES::Biology::Terrestrial, freshwater and marine ecology
Handle http://hdl.handle.net/2043/4953 (link to this page)

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