Skip to main content

A land‐cover classification for landslide susceptibility mapping by using feature components

Buy Article:

$59.35 plus tax (Refund Policy)


Classifying original bands and/or image components may cause unsatisfactory results in fields that have heterogeneous reflectance. In such cases, the demand for accurate land-use, land-cover, vegetation, and forestry information may require more specific components. The components should represent peculiar information collected from several inputs for target land covers. In this study, a new technique of land-cover classification was explored to prepare an input which increases the success of landslide susceptibility mapping in a subtropical region, Asarsuyu Catchment Area (Duzce). Land-cover mapping is a difficult issue in this area by only carrying out field studies and aerial-photo interpretations. Moreover, applying different classifications of Landsat Thematic Mapper bands and/or their secondary products does not produce acceptable results. For this reason, vegetation indices, soil/surface moisture indices, topographic wetness index and drainage density were calculated to produce feature representative components for the land-cover classification process. Results obtained from the proposed technique show that feature representative components significantly improve the conventional classification accuracy from 77% to 89% and the resultant land-cover map is such a valuable input for landslide susceptibility mapping that it increases the success of the landslide susceptibility map from 63% to 88%.

Keywords: Landslide susceptibility map; Land‐cover classification; PCA; Soil/surface moisture indices; Vegetation indices

Document Type: Research Article


Affiliations: 1: Department of Geomatics, University of Melbourne, 3010 Melbourne, Victoria, Australia 2: Remote Sensing and Geographical Information Systems Laboratory, Geological Engineering Department, Middle East Technical University, 06531 Ankara, Turkey

Publication date: January 20, 2006

More about this publication?

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
Cookie Policy
ingentaconnect 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