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

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Cited articles

Adekola, J., Renaud, F. G., and Hill, C.: Risk Information Sources for snow disaster risk preparedness in Scotland, Int. J. Disaster Risk Sci., 12, 854–866, https://doi.org/10.1007/s13753-021-00386-y, 2021. 
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Bendickson, S.: Relationship between Visibility and Snowfall Intensity, TP 14151E, https://trid.trb.org/view/755982, retrieved from https://skybrary.aero/sites/default/files/bookshelf/943.pdf (last access: 12 September 2023), 2003. 
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Koutitas, G., Smith, K., Lawrence, G., Metsis, V., Stamper, C., Trahan, M. H., and Lehr, T.: A virtual and augmented reality platform for the training of first responders of the ambulance bus, ACM Int. Conf. Proceeding Ser, 299–302, https://doi.org/10.1145/3316782.3321542, 2019. 
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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.