Visualization analysis of rainfall-induced landslides hazards based on remote sensing and geographic information system-an overview
作者机构：State Key Laboratory of Hydraulics and Mountain River EngineeringSichuan UniversityChengduPeople’s Republic of China College of Hydraulic and Hydroelectric EngineeringSichuan UniversityChengduPeople’s Republic of China School of GeographyDevelopment&EnvironmentUniversity of ArizonaTucsonAZUSA Key Laboratory of Digital Earth ScienceAerospace Information Research InstituteChinese Academy of SciencesBeijingPeople’s Republic of China School of Geography and Ocean ScienceNanjing UniversityNanjingPeople’s Republic of China College of Earth ScienceChengdu University of TechnologyChengduPeople’s Republic of China School of Environmental and Geographical SciencesShanghai Normal UniversityShanghaiPeople’s Republic of China
出 版 物：《International Journal of Digital Earth》 (国际数字地球学报（英文）)
年 卷 期：2023年第16卷第1期
页 面：2374-2402页
核心收录：
学科分类：081803[工学-地质工程] 08[工学] 0818[工学-地质资源与地质工程]
基 金：supported by the National Key R&D Program of China(2019YFC1510700) the Sichuan Science and Technology Program(2023Y FS0380,2023YFS0377,2023NSFSC1989,2022YFS0539)
主 题：Landslide rainfall-induced detection and monitoring predictive model sensitivity mapping risk assessment visual analysis
摘 要：In recent years,RS and GIS technologies have played an increasingly important role in various aspects of rainfall induced landslide *** order to systematically understand their application situation,this paper extensively used various visualization analysis technologies for in-depth analysis of 1,161 documents collected by the WOS data platform in the past 27 years by combining quantitative and qualitative ***,this article focuses on sub domain analysis from four aspects:landslide detection and monitoring,prediction models,sensitivity mapping,and risk *** study found that the number of literature in thisfield has steadily increased and is expected to continue to *** literature review has attracted widespread attention from the academic community,but it challenging to meet research *** and effective cooperationis between countries,institutions,and authors is very beneficial for promoting progress in *** future development direction is a new intelligent hybrid model that integrates multiple research *** study can provide researchers in thisfield with the core research force,hot topic evolution,and future development trends of future rainfall-induced landslides and contribute to landslide prevention and control decision-making and achieving the United Nations’sustainable development goals.
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