NDLI: Case study of landslides recognition using dual/quad polarization data of ALOS/PALSAR

Content Provider	IEEE Xplore Digital Library
Author	Furuta, R. Sawada, K.
Copyright Year	2013
Description	Author affiliation: River Basin Res. Center, Gifu Univ., Gifu, Japan (Sawada, K.) \|\| R&D Dept., Remote Sensing Technol. Center of Japan, Tokyo, Japan (Furuta, R.)
Abstract	Field investigation of landslides area that distributed in broad area is very tough to engineers. Satellite remote sensing technology has applicability to landslides recognition and mapping of broad area therefore it has possibility to help engineer's work. In order to recognize landslides by satellite imagery, a lot of techniques and methodologies are proposed. In this paper, we focused on the use of synthetic aperture radar (SAR) for landslide recognition. At the landslides recognition, we must consider a type of landslides to select appropriate methodology. In this paper, we focused on fall type landslides as the detectable target. For the landslides recognition analysis, dual and quad polarized data of ALOS/PALSAR has applied. And, polarimetric InSAR type analysis and polarimetric phase coherence analysis has applied for landslides recognition. Each analysis shows good performance to recognize landslides, was confirmed.
Sponsorship	IEEE Geosci. Remote Sens. Soc.
Starting Page	481
Ending Page	484
File Size	1128596
Page Count	4
File Format	PDF
ISBN	9784885522789
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-09-23
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	Institute of Electronics, Information and Communication Engineers (IEICE)
Subject Keyword	Satellites Coherence Vegetation Terrain factors Synthetic aperture radar Monitoring Interferometry
Content Type	Text
Resource Type	Article

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