Evaluation of landslide susceptibility mapping by evidential belief function, logistic regression and support vector machine models
نویسندگان
چکیده
منابع مشابه
Landslide susceptibility mapping using logistic regression analysis in Latyan catchment
Every year, hundreds of people all over the world lose their lives due to landslides. Landslide susceptibility map describes the likelihood or possibility of new landslides occurring in an area, and therefore helping to reduce future potential damages. The main purpose of this study is to provide landslide susceptibility map using logistic regression model at Latyan watershed, north Iran. I...
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This paper introduces one current machine learning approach for solving spatial modeling problems in domain of landslide susceptibility assessment. The case study addresses NW slopes of Fruška Gora Mountain in Serbia, where landslide activity has been quite substantial, but not inspected in detail. Regarding this lack of precise landslide inventory, an expert-driven zoning of landslide suscepti...
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The objective of this paper is to exploit the potential application of an evidential belief function model to landslide susceptibility mapping at Kuala Lumpur city and surrounding areas using geographic information system (GIS). At first, a landslide inventory map was prepared using aerial photographs, high resolution satellite images and field survey. A total 220 landslides were mapped and an ...
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متن کامل
Presentation of new ensemble method of Bayesian and logistic regression models in landslide susceptibility assessment in the Khalkhal Township
The aim of current research is to assess of landslide susceptibility in the Khalkhal Township, southern Ardabil using an ensemble and new method namely Bayesian and logistic regression (BT-LR) models. At first, landslide inventory map was prepared and then effective factors on landslide occurrence were identified. These factors are slope degree, plan curvature, slope aspect, elevation, landuse,...
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ژورنال
عنوان ژورنال: Geomatics, Natural Hazards and Risk
سال: 2018
ISSN: 1947-5705,1947-5713
DOI: 10.1080/19475705.2018.1481147