Proceedings Paper
Extraction of landslide areas using inclination angles and NVI data| Format | Member Price | Non-Member Price |
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Paper Abstract
The objective of this study is to find areas where landslides may occur in the near future by using satellite remote sensing data and thematic-map data related to landslides. We used Landsat TM data, geological maps, and inclination angles to predict landslide areas. As a result, we conclude that NVI data which was calculated from satellite data, geological types, and inclination angles are important factors to extract areas where landslides may occur.
Paper Details
Date Published: 21 December 1994
PDF: 12 pages
Proc. SPIE 2318, Recent Advances in Remote Sensing and Hyperspectral Remote Sensing, (21 December 1994); doi: 10.1117/12.197228
Published in SPIE Proceedings Vol. 2318:
Recent Advances in Remote Sensing and Hyperspectral Remote Sensing
Pat S. Chavez Jr.; Carlo M. Marino; Robert A. Schowengerdt, Editor(s)
PDF: 12 pages
Proc. SPIE 2318, Recent Advances in Remote Sensing and Hyperspectral Remote Sensing, (21 December 1994); doi: 10.1117/12.197228
Show Author Affiliations
Masa-aki Shikada, Kanazawa Institute of Technology (Japan)
Koji Imabayashi, Kanazawa Institute of Technology (Japan)
Koji Imabayashi, Kanazawa Institute of Technology (Japan)
Takashi Kusaka, Kanazawa Institute of Technology (Japan)
Kei Miyakita, Kanazawa Institute of Technology (Japan)
Kei Miyakita, Kanazawa Institute of Technology (Japan)
Published in SPIE Proceedings Vol. 2318:
Recent Advances in Remote Sensing and Hyperspectral Remote Sensing
Pat S. Chavez Jr.; Carlo M. Marino; Robert A. Schowengerdt, Editor(s)
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