Demarcation of potential avalanche sites using remote sensing and ground observations: a case study of Gangotri glacier

Snehmani,; Bhardwaj, Anshuman; Pandit, Ankur; Ganju, Ashwagosha

doi:10.1080/10106049.2013.807304

Cited by 36 publications

(29 citation statements)

References 15 publications

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“…But the external sources such as debris flows, rockfalls, rock avalanches and snow/ice avalanches (e.g. Snehmani, Bhardwaj, et al 2013) from adjacent slopes on the glacier ice (e.g. Fort 2000;Shroder et al 2000;Hewitt 2009) also play major role.…”

Section: Automated/semi-automated Mapping Techniquesmentioning

confidence: 99%

“…Research on avalanches in the Indian Himalaya is gaining pace in recent years (e.g. Snehmani, Bhardwaj, et al 2013). GLOFs are significantly studied in the Nepal Himalaya (e.g.…”

Section: Glacial Hazardsmentioning

confidence: 99%

“…A different approach towards remote sensing-based glaciology concerns for glacial hazard and assessment studies (e.g. Haeberli et al 2001;Wessels et al 2002;Snehmani, Bhardwaj, et al 2013;Snehmani, Singh, et al 2013;Salzmann et al 2004). Table 1 gives an extensive list of significant optical remote sensors involved in glaciological studies.…”

Section: Introductionmentioning

confidence: 99%

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Remote sensing of alpine glaciers in visible and infrared wavelengths: a survey of advances and prospects

Bhardwaj

Joshi

Sam

2015

Geocarto International

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Remote sensing is an efficient tool for temporal monitoring of inaccessible alpine glacial terrain. This study discusses the methods of remote sensing in visible and infrared (IR) wavelengths, which are helpful in providing important information about alpine glaciers. The scope of this study covers recent advances and prospects in optical and thermal remote sensing of glacier facies, glacier velocity, mass balance, glacial hazards and automated mapping techniques. The technology is ever evolving with the advent of new remote sensors capturing data in visible/IR wavelengths and better digital computing technology. An extensive list of significant studies further helps the reader to explore a particular topic of interest. We survey recent advances in this field and additionally highlight the emerging prospects.

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Section: Automated/semi-automated Mapping Techniquesmentioning

confidence: 99%

“…Research on avalanches in the Indian Himalaya is gaining pace in recent years (e.g. Snehmani, Bhardwaj, et al 2013). GLOFs are significantly studied in the Nepal Himalaya (e.g.…”

Section: Glacial Hazardsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Remote sensing of alpine glaciers in visible and infrared wavelengths: a survey of advances and prospects

Bhardwaj

Joshi

Sam

2015

Geocarto International

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“…A heuristic (expert judgement) method, the analytical hierarchy process (AHP) model (Saaty 1980) based on weighting and rating has been successfully attempted for avalanche susceptibility mapping (Selçuk 2013;Snehmani et al 2014). The modified-AHP model has been introduced by Nefeslioglu et al (2013) for natural hazard assessment, especially for avalanches.…”

Section: Introductionmentioning

confidence: 99%

“…Extensive research has been performed on the identification and probabilistic assessment of weather and snow cover conditions influencing avalanche activity (Hendrikx et al 2005;McClung and Schaerer 2006;Jomelli et al 2007;Schweizer, Mitterer, and Stoffel 2009). On the other hand, relatively little research has been conducted on the identification of potential avalanche release areas (Bühler et al 2013;Pistocchi and Notarnicola 2013) and susceptibility mapping of snow avalanches (Selçuk 2013;Snehmani et al 2014).…”

Section: Introductionmentioning

confidence: 99%

Fuzzy–frequency ratio model for avalanche susceptibility mapping

Kumar

Snehmani

Srivastava

et al. 2016

International Journal of Digital Earth

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Avalanche activities in the Indian Himalaya cause the majority of fatalities and responsible for heavy damage to the property. Avalanche susceptibility maps assist decision-makers and planners to execute suitable measures to reduce the avalanche risk. In the present study, a probabilistic data-driven geospatial fuzzy-frequency ratio (fuzzy-FR) model is proposed and developed for avalanche susceptibility mapping, especially for the large undocumented region. The fuzzy-FR model for avalanche susceptibility mapping is initially developed and applied for Lahaul-Spiti region. The fuzzy-FR model utilized the six avalanche occurrence factors (i.e. slope, aspect, curvature, elevation, terrain roughness and vegetation cover) and one referent avalanche inventory map to generate the avalanche susceptibility map. Amongst 292 documented avalanche locations from the avalanche inventory map, 233 (80%) were used for training the model and remaining 59 (20%) were used for validation of the map. The avalanche susceptibility map is validated by calculating the area under the receiver operating characteristic curve (ROC-AUC) technique. For validation of the results using ROC-AUC technique, the success rate and prediction rate were calculated. The values of success rate and prediction rate were 94.07% and 91.76%, respectively. The validation of results using ROC-AUC indicated the fuzzy-FR model is appropriate for avalanche susceptibility mapping. ARTICLE HISTORY

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The Potential of UAV Based Remote Sensing for Monitoring Hindu Kush Himalayan Glaciers

Rai

Pandey

Mishra

et al. 2020

Lecture Notes in Civil Engineering

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Demarcation of potential avalanche sites using remote sensing and ground observations: a case study of Gangotri glacier

Cited by 36 publications

References 15 publications

Remote sensing of alpine glaciers in visible and infrared wavelengths: a survey of advances and prospects

Remote sensing of alpine glaciers in visible and infrared wavelengths: a survey of advances and prospects

Fuzzy–frequency ratio model for avalanche susceptibility mapping

The Potential of UAV Based Remote Sensing for Monitoring Hindu Kush Himalayan Glaciers

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