{"title":"A systematic review of GIS-based landslide Hazard Mapping on Determinant Factors from International Databases","authors":"Sevar Neamat, H. Karimi","doi":"10.1109/ICOASE51841.2020.9436611","DOIUrl":null,"url":null,"abstract":"The landslide could severely affect infrastructure, irrigation systems, soil fertility, river and streams, and settlements. Both human-made and natural phenomena contribute to landslide hazards, and therefore a comprehensive assessment of landslide susceptibility is essential to its mitigation actions. Nowadays, geographical information systems and remote sensing in combination with modeling techniques have widely been used for assessment and mapping the susceptibility of the landslide. This study contains a review of 20 scientific articles on the spatial-statistical analysis of landslide susceptibility in the last ten years. The papers were reviewed for the locations of the case study, effective parameters used, and the results' validation. The review indicates the case studies were mostly for Asian countries, and this point was obtained that some vulnerable regions had sufficiently been studied. Various causative factors were used for spatial analysis and modeling of landslide susceptibility assessment where slope, lithology, curvature, and distance to rivers were used in most studies. This review concludes that for spatial dimension evaluation of the landslide, it is important to study a comprehensive set of both natural and anthropogenic factors. This review also provides useful information that can help future studies and serve as a resource for understanding the techniques used to manage this important natural hazard.","PeriodicalId":126112,"journal":{"name":"2020 International Conference on Advanced Science and Engineering (ICOASE)","volume":"84 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 International Conference on Advanced Science and Engineering (ICOASE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICOASE51841.2020.9436611","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7
Abstract
The landslide could severely affect infrastructure, irrigation systems, soil fertility, river and streams, and settlements. Both human-made and natural phenomena contribute to landslide hazards, and therefore a comprehensive assessment of landslide susceptibility is essential to its mitigation actions. Nowadays, geographical information systems and remote sensing in combination with modeling techniques have widely been used for assessment and mapping the susceptibility of the landslide. This study contains a review of 20 scientific articles on the spatial-statistical analysis of landslide susceptibility in the last ten years. The papers were reviewed for the locations of the case study, effective parameters used, and the results' validation. The review indicates the case studies were mostly for Asian countries, and this point was obtained that some vulnerable regions had sufficiently been studied. Various causative factors were used for spatial analysis and modeling of landslide susceptibility assessment where slope, lithology, curvature, and distance to rivers were used in most studies. This review concludes that for spatial dimension evaluation of the landslide, it is important to study a comprehensive set of both natural and anthropogenic factors. This review also provides useful information that can help future studies and serve as a resource for understanding the techniques used to manage this important natural hazard.