An ArcGIS Geo-Morphological Approach for Snow Avalanche Zoning and Risk Estimation in the Province of Bergamo

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ISSN Print: 2151-1950
ISSN Online: 2151-1969
www.scirp.org/journal/jgis
E-mail: jgis@scirp.org

"An ArcGIS Geo-Morphological Approach for Snow Avalanche Zoning and Risk Estimation in the Province of Bergamo"
written by Barbara Marana,
published by Journal of Geographic Information System, Vol.9 No.2, 2017

has been cited by the following article(s):

[1]	Winter–Spring Prediction of Snow Avalanche Susceptibility Using Optimisation Multi-Source Heterogeneous Factors in the Western Tianshan Mountains, China
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[2]	Multi-year evolution of 75 snow and ice deposits in Schachtdolines and Shafts of recently deglaciated karst terrain: Observations from Mount Canin-Kanin, Julian Alps …
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[3]	Afet Riski Değerlendirmelerinde Çoklu Tehlike Analizi 'Erciş, Van Örneği'
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[4]	Probability of glacial lake outburst flooding in the Himalaya
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[5]	Snow avalanche based susceptibility assessment of selected districts in northern zone of Pakistan applying MCDA approach in GIS
	2019

[6]	Snow avalanche based susceptibility assessment of selected districts in northern zone of Pakistan applying MCDA approach in GIS.
	Journal of Himalayan …, 2019

[1]	GIS-based determination of potential snow avalanche areas: A case study of Rize Province of Türkiye International Journal of Engineering and Geosciences, 2024 DOI:10.26833/ijeg.1367334

[2]	The composition of avalanche hazard maps with the help of ArcGIS on the base of geomorphological analysis for the mountainous areas of Chernivtsi region Scientific Herald of Chernivtsi University. Geography, 2023 DOI:10.31861/geo.2023.845.101-109

[3]	The composition of avalanche hazard maps with the help of ArcGIS on the base of geomorphological analysis for the mountainous areas of Chernivtsi region Scientific Herald of Chernivtsi University. Geography, 2023 DOI:10.31861/geo.2023.845.101-109

[4]	Winter–Spring Prediction of Snow Avalanche Susceptibility Using Optimisation Multi-Source Heterogeneous Factors in the Western Tianshan Mountains, China Remote Sensing, 2022 DOI:10.3390/rs14061340

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