作者：
Truong, Xuan Quang;Tran, Nhat Duong;Dang, Nguyen Hien Duong;Do, Thi Hang;Nguyen, Quoc Dinh;...
通讯作者：
Tran, ND
作者机构：
Hanoi Univ Nat Resources & Environm, Hanoi, Vietnam.
Univ Sci & Technol Hanoi, Hanoi, Vietnam.
Osaka City Univ, Osaka, Japan.
Vietnam Inst Geosci & Mineral Resources, Hanoi, Vietnam.
Politecn Milan, Dept Civil & Environm Engn DICA, Piazza Leonardo 32, Milan, Italy.
CNR IREA, Ist Rilevamento Elettromagnet Ambiente, Via Bassini 15, Milan, Italy.
Hanoi Univ Min & Geol, Hanoi, Vietnam.
Hanoi Univ Civil Engn, Hanoi, Vietnam.
通讯机构：
Univ Sci & Technol Hanoi, Hanoi, Vietnam.
语种：
英文
关键词：
Landslide,Random Forest,Van Yen district,WebGIS
期刊：
Environmental Science and Engineering
ISSN：
1863-5520
年：
2023
卷：
1
页码：
445-464
会议名称：
2nd International Conference on Geo-Spatial Technologies and Earth Resources (GTER)
会议时间：
OCT 13-14, 2022
会议地点：
Hanoi Univ Min & Geol, Hanoi, VIETNAM
基金类别：
Italian Ministry of Foreign Affairs and International Cooperation within the project "Geoinformatics and Earth Observation for Landslide Monitoring" [CUP D19C21000480001]; Ministry of Science and Technology of Vietnam [NDT/IT/21/14
摘要：
Van Yen district in Yen Bai province of Vietnam is one of the most affected areas indicating high and very high potential of landslide occurrences. WebGIS technology is useful for dissemination of the geographical information related to landslides. To this aim, this paper provides a landslide information system for Van Yen district of the Yen Bai province. The paper firstly provides a landslide susceptibility map produced using a Random Forest-based model. Along the process, a landslide inventory from three investigations of 2013, 2017, and landslides along national road 32 and provincial road 163 (collected in November 2021) was considered. Additionally, thirteen factors...
