Skip to main content

Towards a generic approach for characterizing and mapping tropical secondary forests in the highlands of mainland Southeast Asia

Buy Article:

$60.90 plus tax (Refund Policy)

Abstract:

This paper evaluates the generalization potential of a classification approach for the task of mapping tropical secondary forest across the highlands of mainland Southeast Asia. The approach applies linear mixture modelling to atmospherically and topographically corrected Advanced Space-borne Thermal Emission and Reflection Radiometer data, and the resulting fractional images of green vegetation, background and shade are classified into four major land covers using a decision tree classifier. The results indicate a potential for developing a generic linear mixture model. However, the decision rules by which end-member fractions are classified into land cover classes are site-specific. Therefore a regional applicable and fully automated mapping approach is not realistic. This study concludes, however, that an approach which couples linear mixture modelling and decision tree classification is both accurate and robust for mapping tropical secondary forests across the region.

Document Type: Research Article

DOI: http://dx.doi.org/10.1080/01431160600928575

Affiliations: 1: Institute of Geography, University of Copenhagen, DK-1350, Copenhagen, Denmark 2: Department of Forestry, Global Observatory for Ecosystem Services, Michigan State University,

Publication date: January 1, 2007

More about this publication?
tandf/tres/2007/00000028/00000006/art00012
dcterms_title,dcterms_description,pub_keyword
6
5
20
40
5

Access Key

Free Content
Free content
New Content
New content
Open Access Content
Open access content
Subscribed Content
Subscribed content
Free Trial Content
Free trial content
Cookie Policy
X
Cookie Policy
Ingenta Connect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more