A comparative analysis of weight-based machine learning methods for landslide susceptibility mapping in Ha Giang area-Reference-Cited by-同舟云学术

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A comparative analysis of weight-based machine learning methods for landslide susceptibility mapping in Ha Giang area

Published:2022-03-27 Issue: Volume: Page:1-30
ISSN:2096-4471
Container-title:Big Earth Data
language:en
Short-container-title:Big Earth Data

Author:

Trinh Thanh¹²^ORCID,Luu Binh Thanh³,Le Trang Ha Thi⁴,Nguyen Duong Huy⁵,Van Tran Trong⁵,Van Nguyen Thi Hai⁵,Nguyen Khanh Quoc⁵,Nguyen Lien Thi⁵

Affiliation:

1. Faculty of Computer Science, Phenikaa University, Yen Nghia, Ha Dong, Hanoi 12116, Vietnam

2. Phenikaa Research and Technology Institute (PRATI), A&A Green Phoenix Group JSC, No.167 Hoang Ngan, Trung Hoa, Cau Giay, Hanoi 11313, Vietnam

3. Northwestern Geological Division, General Department of Geology and Minerals of Vietnam, Hanoi, Vietnam

4. Youth union office, Thuyloi University, 175 Tay Son, Dong Da, Hanoi, Vietnam

5. Center of Remote Sensing and Geohazards, Vietnam Institute of Geosciences and Mineral Resources, Hanoi, Vietnam

Publisher

Informa UK Limited

Subject

Computers in Earth Sciences,Computer Science Applications

Link

https://www.tandfonline.com/doi/pdf/10.1080/20964471.2022.2043520

Reference68 articles.

1. A novel hybrid approach of Bayesian Logistic Regression and its ensembles for landslide susceptibility assessment

2. Landslide susceptibility mapping using analytic hierarchy process and information value methods along a highway road section in Constantine, Algeria

3. GENERALISED LINEAR MODELLING OF SUSCEPTIBILITY TO LANDSLIDING IN THE CENTRAL APENNINES, ITALY

4. Assessment of shallow landslide susceptibility by means of multivariate statistical techniques

5. GIS-based logistic regression for landslide susceptibility mapping of the Zhongxian segment in the Three Gorges area, China

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3. High-Resolution Temperature Evolution Maps of Bangladesh via Data-Driven Learning;Atmosphere;2024-03-21

4. Comparison of tree-based ensemble learning algorithms for landslide susceptibility mapping in Murgul (Artvin), Turkey;Earth Science Informatics;2024-03-04

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