Skip all navigation and jump to content Jump to site navigation
About MODIS News Data Tools /images2 Science Team Science Team Science Team

   + Home
ABOUT MODIS
MODIS Publications Link
MODIS Presentations Link
MODIS Biographies Link
MODIS Science Team Meetings Link
 

 

 

Tottrup, C, Rasmussen, MS, Eklundh, L, Jonsson, P (2007). Mapping fractional forest cover across the highlands of mainland Southeast Asia using MODIS data and regression tree modelling. INTERNATIONAL JOURNAL OF REMOTE SENSING, 28(2-Jan), 23-46.

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:
10.1080/01431160600784218

ISSN:
0143-1161

NASA Home Page Goddard Space Flight Center Home Page