NDLI: Analysis of slope failures due to the 2000 Tokai Heavy Rainfall using high resolution satellite images

Content Provider	IEEE Xplore Digital Library
Author	Kawamura, M. Tsujino, K. Tsujiko, Y.
Copyright Year	2003
Description	Author affiliation: Dept. of Archit. & Civil Eng., Toyohashi Univ. of Technol., Japan (Kawamura, M.)
Abstract	This paper describes an analysis of slope failures due to the 2000 Tokai Heavy Rainfall in Japan, using IKONOS pansharpen images and a forest database. In most case of steep mountainside, slope failures are often covered by leaves in the forests. In this study, a detector based on region growing algorithm is proposed for high resolution satellite images to estimate the shadow area of the slope failure. The magnitude and the morphology of slope failures are calculated by the proposed method. On the other hand, the boundary of sub compartment shown in forest planning maps was digitized, and the forest database was developed for the attributes such as forest management type shown in the forest register of Gifu Prefecture in Japan. The detected results of slope failures are stored in the database, and they are compared with the attribute data for the factor analysis. The GIS model was applied to detection of heavy rainfall induced slope failures in the upstream of the Yahagi River triggered by the 2000 Tokai Heavy Rainfall. The conclusion is shown as follows: (1) Most of sliding failures can be detected precisely using a threshold value. The shaded relief processing was effective to detect the debris flow along a valley, and the accuracy was improved. (2) The factor analysis for slope failures and the database concerning the topography, geology and forests is effective to create the hazard map. This result is useful for planning of erosion control dams.
Starting Page	2413
Ending Page	2418
File Size	2384524
Page Count	6
File Format	PDF
ISBN	0780379292
DOI	10.1109/IGARSS.2003.1294459
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2003-07-21
Publisher Place	France
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Failure analysis Image analysis Image resolution Satellites Image databases Detectors Morphology Geographic Information Systems Rivers Surfaces
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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