Essential insights into decision mechanism of landslide susceptibility mapping based on different machine learning models-Reference-Cited by-同舟云学术

Essential insights into decision mechanism of landslide susceptibility mapping based on different machine learning models

Published:2022-11-17 Issue: Volume: Page:1-29
ISSN:1010-6049
Container-title:Geocarto International
language:en
Short-container-title:Geocarto International

Author:

Sun Deliang¹,Ding Yuekai¹,Zhang Jialan²^ORCID,Wen Haijia²^ORCID,Wang Yue³,Xu Jiahui⁴,Zhou Xinzhi²,Liu Rui¹

Affiliation:

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

2. 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

3. Chongqing Engineering Research Center for Application of Remote Sensing Big Data, School of Geographical Sciences, Southwest University, Chongqing, China

4. Key Laboratory of Geographic Information Science, Ministry of Education, East China Normal University, Shanghai, China

Publisher

Informa UK Limited

Subject

Water Science and Technology,Geography, Planning and Development

Link

https://www.tandfonline.com/doi/pdf/10.1080/10106049.2022.2146763

Reference56 articles.

1. Comparing classical statistic and machine learning models in landslide susceptibility mapping in Ardanuc (Artvin), Turkey

2. GIS-based landslide susceptibility modeling: A comparison between fuzzy multi-criteria and machine learning algorithms

3. A novel ensemble bivariate statistical evidential belief function with knowledge-based analytical hierarchy process and multivariate statistical logistic regression for landslide susceptibility mapping

4. An artificial neural network approach for landslide hazard zonation in the Bhagirathi (Ganga) Valley, Himalayas

5. Comparison of multiple conventional and unconventional machine learning models for landslide susceptibility mapping of Northern part of Pakistan

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