MANAJEMEN HUTAN TROPIKA Journal of Tropical Forest Management
Vol. 11 No. 1 (2005)

Landslide Detection Technique using multidate SPOT Imageries: A case study in Teradomari, Tochio and Shitada Mura, Niigata, Japan

I Nengah Surati Jaya (Departemen Manajemen Hutan, Fakultas Kehutanan, Institut Pertanian Bogor, Jalan Lingkar Akademik, Kampus IPB Dramaga PO Box 168, Bogor 16680, Indonesia)



Article Info

Publish Date
20 Dec 2012

Abstract

This study describes the use of multitemporal  principal component analisys (MPCA), vegetation index differencing (VIDN) and  conventional maximum likelihood classifier (MLC) for  detecting landslides.  The study found that the synthetic images derived from stable greenness, delta greenness and delta brightness of MPCA summarized the information of landslides effectively producing accuracy of 88% for Teradomari and 91% for Tochio and Shitada Mura.  The VIDN provides relatively lower accuracies than those from MPCA, i.e., only 62.5% for Teradomari and 64% for Tochio and Shitada Mura. The MLC method also provided very low user’s accuracy, i.e. 56.9% for Teradomari and 63.7% for Tochio and Shitada Mura but high producer’s accuracies, i.e. 100% for Teradomari and 98.3% for Tochio and Shitada Mura. The study also found that the landsides that could be detected should be more than the size of spatial resolution of the SPOT imagery, i.e. 10 m x 10 m. Detecting landslides using SPOT imagery is more efficient than using only ground survey, providing an efficiency of 2.7.

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Journal Info

Abbrev

jmht

Publisher

Subject

Agriculture, Biological Sciences & Forestry

Description

Jurnal Manajemen Hutan Tropika is a periodic scientific articles and conceptual thinking of tropical forest management covering all aspects of forest planning, forest policy, utilization of forest resources, forest ergonomics, forest ecology, forest inventory, silviculture, and management of ...