Insights into spatial differential characteristics of landslide susceptibility from sub-region to whole-region cased by northeast Chongqing, China-Reference-Cited by-同舟云学术

Insights into spatial differential characteristics of landslide susceptibility from sub-region to whole-region cased by northeast Chongqing, China

Published:2023-03-23 Issue:1 Volume:14 Page:
ISSN:1947-5705
Container-title:Geomatics, Natural Hazards and Risk
language:en
Short-container-title:Geomatics, Natural Hazards and Risk

Author:

Liu Rui¹²,Ding YueKai¹,Sun Deliang¹,Wen Haijia³^ORCID,Gu Qingyu¹,Shi Shuxian⁴,Liao Mingyong³

Affiliation:

1. Key Laboratory of GIS Application Research, Chongqing Normal University, Chongqing, China

2. National Earth System Science Data Center, Beijing, China

3. Key Laboratory of New Technology for Construction of Cities in Mountain Area, Ministry of Education; National Joint Engineering Research Center of Geohazards Prevention in the Reservoir Areas; School of Civil Engineering, Chongqing University, Chongqing, China

4. East China Normal University, Shanghai, China

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences,General Environmental Science

Link

https://www.tandfonline.com/doi/pdf/10.1080/19475705.2023.2190858

Reference63 articles.

1. Landslide susceptibility mapping using hybridized block modular intelligence model

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3. Automatic delineation of geomorphological slope units with <tt>r.slopeunits v1.0</tt> and their optimization for landslide susceptibility modeling

4. The linear random forest algorithm and its advantages in machine learning assisted logging regression modeling

5. Statistical and spatial analysis of landslide susceptibility maps with different classification systems

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