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

Author:
  • Christian Töttrup
  • M. S. Rasmussen
  • Lars Eklundh
  • P. Jonsson
Publishing year: 2007
Language: English
Pages: 23-46
Publication/Series: International Journal of Remote Sensing
Volume: 28
Issue: 1-2
Document type: Journal article
Publisher: Taylor & Francis

Abstract english

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.

Keywords

  • Physical Geography

Other

Published
  • ISSN: 1366-5901
E-mail: lars [dot] eklundh [at] nateko [dot] lu [dot] se

Professor

Dept of Physical Geography and Ecosystem Science

+46 46 222 96 55

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Teaching staff

Dept of Physical Geography and Ecosystem Science

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Department of Physical Geography and Ecosystem Science
Lund University
Sölvegatan 12
S-223 62 Lund
Sweden

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