Articles | Volume 387
https://doi.org/10.5194/piahs-387-73-2024
https://doi.org/10.5194/piahs-387-73-2024
Post-conference publication
 | 
18 Nov 2024
Post-conference publication |  | 18 Nov 2024

Augmented-reality-based snow visibility simulation for disaster preparedness in the Western Himalayas

Sanjay Saifi and RAAJ Ramsankaran

Data sets

Snowfall intensity prediction data Windy https://www.windy.com/-Menu/menu?ptype,21.678,86.880,5

Retrieval of snow grain size and albedo of western Himalayan snow cover using satellite data H. S. Negi and A. Kokhanovsky https://doi.org/10.5194/tc-5-831-2011

Vuforia software development kit Vuforia Developer Portal https://developer.vuforia.com/library/getting-started/vuforia-engine-package-unity

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Short summary
Visibility assessment is crucial for informed decision-making and disaster preparedness in mountainous regions due to snow-induced disasters. This paper presents an innovative approach using augmented reality (AR) to address this challenge. The Him-Drishti application harnesses the established correlation between snowfall intensity and visibility to create a predictive visibility simulation model. This study demonstrates the capacity of AR in disaster management and risk reduction.