Your browser doesn't support javascript.
loading
GIS-based landslide susceptibility mapping in the Longmen Mountain area (China) using three different machine learning algorithms and their comparison.
Huang, Ziyan; Peng, Li; Li, Sainan; Liu, Ying; Zhou, Shuang.
Affiliation
  • Huang Z; College of Geography and Resources, Sichuan Normal University, Chengdu, 610101, China.
  • Peng L; Key Laboratory of Land Resources Evaluation and Monitoring in Southwest, Ministry of Education, Sichuan Normal University, Chengdu, 610101, China.
  • Li S; College of Geography and Resources, Sichuan Normal University, Chengdu, 610101, China. Pengli@imde.ac.cn.
  • Liu Y; Key Laboratory of Land Resources Evaluation and Monitoring in Southwest, Ministry of Education, Sichuan Normal University, Chengdu, 610101, China. Pengli@imde.ac.cn.
  • Zhou S; Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu, 610041, China. Pengli@imde.ac.cn.
Environ Sci Pollut Res Int ; 30(38): 88612-88626, 2023 Aug.
Article in En | MEDLINE | ID: mdl-37440134
Subject(s)
Key words
Fulltext
Add to My VHL
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Geographic Information Systems / Landslides Type of study: Prognostic_studies / Risk_factors_studies Limits: Humans Country/Region as subject: Asia Language: En Journal: Environ Sci Pollut Res Int Journal subject: SAUDE AMBIENTAL / TOXICOLOGIA Year: 2023 Document type: Article Affiliation country: China Country of publication: Alemania
Fulltext
Add to My VHL
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Geographic Information Systems / Landslides Type of study: Prognostic_studies / Risk_factors_studies Limits: Humans Country/Region as subject: Asia Language: En Journal: Environ Sci Pollut Res Int Journal subject: SAUDE AMBIENTAL / TOXICOLOGIA Year: 2023 Document type: Article Affiliation country: China Country of publication: Alemania