Landslide Risk Assessment Using a Combined Approach Based on InSAR and Random Forest
Landslide Risk Assessment Using a Combined Approach Based on InSAR and Random Forest
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Author / Creator
Liu, Wangcai , Zhang, Yi , Liang, Yiwen , Sun, Pingping , Li, Yuanxi , Su, Xiaojun , Wang, Aijie and Meng, Xingmin
Publisher
Basel: MDPI AG
Journal title
Language
English
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Publication information
Publisher
Basel: MDPI AG
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Scope and Contents
Contents
Landslide risk assessment is important for risk management and loss–damage reduction. Herein, we assessed landslide susceptibility, hazard, and risk in the urban area of Yan’an City, which is located on the Loess Plateau of China and affected by many loess landslides. Based on 1841 slope units mapped in the study area, a random forest machine learn...
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Full title
Landslide Risk Assessment Using a Combined Approach Based on InSAR and Random Forest
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Author / Creator
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TN_cdi_doaj_primary_oai_doaj_org_article_e20c76694dc647ef89f3a9e9a94c8558
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_e20c76694dc647ef89f3a9e9a94c8558
Other Identifiers
ISSN
2072-4292
E-ISSN
2072-4292
DOI
10.3390/rs14092131
