Development of a Building Inventory Estimation Method Using High Resolution Satellite Imagery Data and Digital Video Imagery Data with Geo-Locational Data
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- WATANABE Manabu
- Graduate School of Infonnatics, Kyoto University
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- HAYASHI Haruo
- Disaster Prevention Institute, Kyoto university
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- TAKASHIMA Masasuke
- Institute of Industrial Science, University of Tokyo
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- HORIE Kei
- Earthquake Disaster Mitigation Research Center, NIED
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- TANAKA Satoshi
- College of Environment and Disaster Research, Fuji Tokoha University
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- HASEGAWA Kouichi
- Earthquake Disaster Mitigation Research Center, NIED
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- URAKAWA Go
- Disaster Prevention Institute, Kyoto university
Bibliographic Information
- Other Title
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- 地震災害の被害想定のための高解像度衛星画像・GPSビデオカメラを用いた 建物インベントリー推定手法の確立
- 地震災害の被害想定のための高解像度衛星画像・GPSビデオカメラを用いた建物インベントリー推定手法の確立--フィリピンのマリキナ市を事例として
- ジシン サイガイ ノ ヒガイ ソウテイ ノ タメ ノ コウカイゾウド エイセイ ガゾウ GPS ビデオカメラ オ モチイタ タテモノ インベントリー スイテイ シュホウ ノ カクリツ フィリピン ノ マリキナシ オ ジレイ ト シテ
- An Application for Marikina City, Metro Manila, Philippine
- ーフィリピンのマリキナ市を事例として一
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Abstract
<p>The purpose of this study is to develop a method for estimating the quantity of buildings with different seismic vulnerability according to GESI method in developing countries. At first we selected a learning area with the 25m gridded IKONOS imagery data of Marikina City, Metor Manila, Philippines. Based on the cluster analysis for the distribution patterns of DNs available in the learning area, we proposed a method to categorize the grids into 7 different land cover pattern. Then we developed a procedure of field investigation using digital videocamera with GPS to identify the quantity of buildings with different seismic vulnerability. Finally, we estimated the quantity of buildings with different seismic vulnerability at the entire Marikina City area.</p>
Journal
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- Journal of Social Safety Science
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Journal of Social Safety Science 6 (0), 75-84, 2004-11-05
Institute of Social Safety Science
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Keywords
Details 詳細情報について
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- CRID
- 1390283659869097856
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- NII Article ID
- 110007154539
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- NII Book ID
- AA11542656
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- ISSN
- 21879842
- 13452088
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- NDL BIB ID
- 7203753
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- Text Lang
- ja
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- Data Source
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- JaLC
- NDL
- NDL-Digital
- CiNii Articles
- KAKEN
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- Abstract License Flag
- Disallowed