The assessment of landslide susceptibility mapping using random forest and decision tree methods in the Three Gorges Reservoir area, China-Reference-Cited by-同舟云学术

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The assessment of landslide susceptibility mapping using random forest and decision tree methods in the Three Gorges Reservoir area, China

Published:2017-06 Issue:11 Volume:76 Page:
ISSN:1866-6280
Container-title:Environmental Earth Sciences
language:en
Short-container-title:Environ Earth Sci

Author:

Zhang Kaixiang,Wu Xueling,Niu Ruiqing^ORCID,Yang Ke,Zhao Lingran

Funder

National Natural Science Foundation of China

the Open Fund of the Key Laboratory of Urban Land Resources Monitoring and Simulation

Ministry of Land and Resources of the People's Republic of China (CN)

the Open Fund of Hubei Province Key Laboratory of Regional Development and Environmental Response

the Open Research Fund Program of Shenzhen Key Laboratory of Spatial Smart Sensing and Services

Publisher

Springer Science and Business Media LLC

Subject

Earth-Surface Processes,Geology,Pollution,Soil Science,Water Science and Technology,Environmental Chemistry,Global and Planetary Change

Link

http://link.springer.com/article/10.1007/s12665-017-6731-5/fulltext.html

Reference67 articles.

1. Abella EAC, Van Westen CJ (2007) Generation of a landslide risk index map for Cuba using spatial multi-criteria evaluation. Landslides 4:311–325. doi: 10.1007/s10346-007-0087-y

2. Aleotti P, Chowdhury R (1999) Landslide hazard assessment: summary review and new perspectives. Bull Eng Geol Environ 58:21–44. doi: 10.1007/s100640050066

3. Althuwaynee OF, Pradhan B, Park HJ, Lee JH (2014) A novel ensemble decision tree-based CHi-squared Automatic Interaction Detection (CHAID) and multivariate logistic regression models in landslide susceptibility mapping. Landslides 11(6):1063–1078. doi: 10.1007/s10346-014-0466-0

4. Ardizzone F, Fiorucci F, Santangelo M, Cardinali M, Mondini AC, Rossi M, Reichenbach P, Guzzetti F (2013) Very-high resolution stereoscopic satellite images for landslide mapping. In: Margottini C, Canuti P, Sassa K (eds) Landslide science and practice. Springer, Berlin, Heidelberg, pp 95–101. doi: 10.1007/978-3-642-31325-7_12

5. Armaş I, Vartolomei F, Stroia F, Braşoveanu L (2014) Landslide susceptibility deterministic approach using geographic information systems: application to Breaza town, Romania. Nat Hazards 70:995–1017. doi: 10.1007/s11069-013-0857-x

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