表紙画像

Rainfall-induced landslide susceptibility assessment at the Chongren area (China) using frequency ratio, certainty factor, and index of entropy

The main objective of the study was to evaluate and compare the overall performance of three methods, frequency ratio (FR), certainty factor (CF) and index of entropy (IOE), for rainfall-induced landslide susceptibility mapping at the Chongren area (China) using geographic information system and rem...

詳細記述

保存先:
書誌詳細
主要な著者: Hong, Haoyuan, Chen, Wei, Xu, Chong, Youssef, Ahmed M., Pradhan, Biswajeet, Bui, Dieu Tien
フォーマット: 論文
言語:English
出版事項: Taylor & Francis 2017
オンライン･アクセス:http://psasir.upm.edu.my/id/eprint/15117/1/Rainfall-induced%20landslide%20susceptibility%20assessment%20at%20the%20Chongren%20area%20%28China%29%20using%20frequency%20ratio%2C%20certainty%20factor%2C%20and%20index%20of%20entropy.pdf
http://psasir.upm.edu.my/id/eprint/15117/
https://www.tandfonline.com/doi/abs/10.1080/10106049.2015.1130086
タグ: タグ追加
タグなし, このレコードへの初めてのタグを付けませんか!
id my.upm.eprints.15117
record_format eprints
spelling my.upm.eprints.151172019-05-09T01:25:16Z http://psasir.upm.edu.my/id/eprint/15117/ Rainfall-induced landslide susceptibility assessment at the Chongren area (China) using frequency ratio, certainty factor, and index of entropy Hong, Haoyuan Chen, Wei Xu, Chong Youssef, Ahmed M. Pradhan, Biswajeet Bui, Dieu Tien The main objective of the study was to evaluate and compare the overall performance of three methods, frequency ratio (FR), certainty factor (CF) and index of entropy (IOE), for rainfall-induced landslide susceptibility mapping at the Chongren area (China) using geographic information system and remote sensing. First, a landslide inventory map for the study area was constructed from field surveys and interpretations of aerial photographs. Second, 15 landslide-related factors such as elevation, slope, aspect, plan curvature, profile curvature, stream power index, sediment transport index, topographic wetness index, distance to faults, distance to rivers, distance to roads, landuse, NDVI, lithology and rainfall were prepared for the landslide susceptibility modelling. Using these data, three landslide susceptibility models were constructed using FR, CF and IOE. Finally, these models were validated and compared using known landslide locations and the receiver operating characteristics curve. The result shows that all the models perform well on both the training and validation data. The area under the curve showed that the goodness-of-fit with the training data is 79.12, 80.34 and 80.42% for FR, CF and IOE whereas the prediction power is 80.14, 81.58 and 81.73%, for FR, CF and IOE, respectively. The result of this study may be useful for local government management and land use planning. Taylor & Francis 2017 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/15117/1/Rainfall-induced%20landslide%20susceptibility%20assessment%20at%20the%20Chongren%20area%20%28China%29%20using%20frequency%20ratio%2C%20certainty%20factor%2C%20and%20index%20of%20entropy.pdf Hong, Haoyuan and Chen, Wei and Xu, Chong and Youssef, Ahmed M. and Pradhan, Biswajeet and Bui, Dieu Tien (2017) Rainfall-induced landslide susceptibility assessment at the Chongren area (China) using frequency ratio, certainty factor, and index of entropy. Geocarto International, 32 (2). pp. 139-154. ISSN 1010-6049; ESSN: 1752-0762 https://www.tandfonline.com/doi/abs/10.1080/10106049.2015.1130086 10.1080/10106049.2015.1130086
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description The main objective of the study was to evaluate and compare the overall performance of three methods, frequency ratio (FR), certainty factor (CF) and index of entropy (IOE), for rainfall-induced landslide susceptibility mapping at the Chongren area (China) using geographic information system and remote sensing. First, a landslide inventory map for the study area was constructed from field surveys and interpretations of aerial photographs. Second, 15 landslide-related factors such as elevation, slope, aspect, plan curvature, profile curvature, stream power index, sediment transport index, topographic wetness index, distance to faults, distance to rivers, distance to roads, landuse, NDVI, lithology and rainfall were prepared for the landslide susceptibility modelling. Using these data, three landslide susceptibility models were constructed using FR, CF and IOE. Finally, these models were validated and compared using known landslide locations and the receiver operating characteristics curve. The result shows that all the models perform well on both the training and validation data. The area under the curve showed that the goodness-of-fit with the training data is 79.12, 80.34 and 80.42% for FR, CF and IOE whereas the prediction power is 80.14, 81.58 and 81.73%, for FR, CF and IOE, respectively. The result of this study may be useful for local government management and land use planning.
format Article
author Hong, Haoyuan
Chen, Wei
Xu, Chong
Youssef, Ahmed M.
Pradhan, Biswajeet
Bui, Dieu Tien
spellingShingle Hong, Haoyuan
Chen, Wei
Xu, Chong
Youssef, Ahmed M.
Pradhan, Biswajeet
Bui, Dieu Tien
Rainfall-induced landslide susceptibility assessment at the Chongren area (China) using frequency ratio, certainty factor, and index of entropy
author_facet Hong, Haoyuan
Chen, Wei
Xu, Chong
Youssef, Ahmed M.
Pradhan, Biswajeet
Bui, Dieu Tien
author_sort Hong, Haoyuan
title Rainfall-induced landslide susceptibility assessment at the Chongren area (China) using frequency ratio, certainty factor, and index of entropy
title_short Rainfall-induced landslide susceptibility assessment at the Chongren area (China) using frequency ratio, certainty factor, and index of entropy
title_full Rainfall-induced landslide susceptibility assessment at the Chongren area (China) using frequency ratio, certainty factor, and index of entropy
title_fullStr Rainfall-induced landslide susceptibility assessment at the Chongren area (China) using frequency ratio, certainty factor, and index of entropy
title_full_unstemmed Rainfall-induced landslide susceptibility assessment at the Chongren area (China) using frequency ratio, certainty factor, and index of entropy
title_sort rainfall-induced landslide susceptibility assessment at the chongren area (china) using frequency ratio, certainty factor, and index of entropy
publisher Taylor & Francis
publishDate 2017
url http://psasir.upm.edu.my/id/eprint/15117/1/Rainfall-induced%20landslide%20susceptibility%20assessment%20at%20the%20Chongren%20area%20%28China%29%20using%20frequency%20ratio%2C%20certainty%20factor%2C%20and%20index%20of%20entropy.pdf
http://psasir.upm.edu.my/id/eprint/15117/
https://www.tandfonline.com/doi/abs/10.1080/10106049.2015.1130086
_version_ 1643825837907116032
score 13.251813

類似資料