Integrating Traditional Knowledge with GIS for Snow Avalanche Susceptibility Mapping in Kargil-Ladakh Region of Trans-Himalayan India-Reference-Cited by-同舟云学术

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Integrating Traditional Knowledge with GIS for Snow Avalanche Susceptibility Mapping in Kargil-Ladakh Region of Trans-Himalayan India

Published:2022-08-14 Issue:6 Volume:30 Page:773-789
ISSN:2366-3286
Container-title:Spatial Information Research
language:en
Short-container-title:Spat. Inf. Res.

Author:

Akbar Mohmad^ORCID,Bhat M. Shafi,Chanda Arunima,Lone Fayaz Ahmad,Thoker Irshad Ahmad

Funder

Council of Scientific and Industrial Research, India

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computers in Earth Sciences,Computer Science Applications,Geography, Planning and Development

Link

https://link.springer.com/content/pdf/10.1007/s41324-022-00471-4.pdf

Reference50 articles.

1. Peitzsch, Erich H., Hendrikx, Jordy, & Fagre, Daniel B. (2015). Terrain parameters of glide snow avalanches and a simple spatial glide snow avalanche model. Cold Regions Science and Technology. https://doi.org/10.1016/j.coldregions.2015.08.002

2. Sekhri, Simran, Kumar, Praveen, & Christine; Pandey, Rajiv,. (2020). Mountain specific multi-hazard risk management framework (MSMRMF): Assessment and mitigation of multi-hazard and climate change risk in the Indian Himalayan Region. Ecological Indicators., 118, 106700. https://doi.org/10.1016/j.ecolind.2020.106700

3. Coppola, D. P. (2015). Introduction to international disaster management. Elsevier.

4. Rahmati, O. E. (2019). Spatial Modelling of Snow avalanche using machine learning models and Geo- Environmental factors: Comparision of effectiveness in two mountain regions. Remote sensing., 11(24), 2995. https://doi.org/10.3390/rs11242995

5. Techel, Frank, & Schweizer, Jürg. (2017). On using local avalanche danger level estimates for regional forecast verification. Cold Regions Science and Technology. https://doi.org/10.1016/j.coldregions.2017.07.012

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