Multivariate statistical algorithms for landslide susceptibility assessment in Kailash Sacred landscape, Western Himalaya

IF 4.5 3区地球科学 Q1 GEOSCIENCES, MULTIDISCIPLINARY

Geomatics Natural Hazards & Risk Pub Date : 2023-07-07 DOI:10.1080/19475705.2023.2227324

Arvind Pandey, M. Shekhar Sarkar, S. Palni, Deepanshu Parashar, Gajendra Singh, S. Kaushik, Naveen Chandra, R. Costache, Ajit Pratap Singh, Arun Pratap Mishra, Hussein Almohamad, Motrih Al-Mutiry, H. Abdo

引用次数: 2

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西喜马拉雅冈仁波齐圣地滑坡易感性评价的多元统计算法

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Geomatics Natural Hazards & Risk GEOSCIENCES, MULTIDISCIPLINARY-METEOROLOGY & ATMOSPHERIC SCIENCES

CiteScore

7.70

自引率

4.80%

发文量

117

审稿时长

>12 weeks

期刊介绍： The aim of Geomatics, Natural Hazards and Risk is to address new concepts, approaches and case studies using geospatial and remote sensing techniques to study monitoring, mapping, risk mitigation, risk vulnerability and early warning of natural hazards. Geomatics, Natural Hazards and Risk covers the following topics: - Remote sensing techniques - Natural hazards associated with land, ocean, atmosphere, land-ocean-atmosphere coupling and climate change - Emerging problems related to multi-hazard risk assessment, multi-vulnerability risk assessment, risk quantification and the economic aspects of hazards. - Results of findings on major natural hazards