Articles | Volume 18, issue 1
https://doi.org/10.5194/tc-18-451-2024
https://doi.org/10.5194/tc-18-451-2024
Research article
 | 
31 Jan 2024
Research article |  | 31 Jan 2024

Passive microwave remote-sensing-based high-resolution snow depth mapping for Western Himalayan zones using multifactor modeling approach

Dhiraj Kumar Singh, Srinivasarao Tanniru, Kamal Kant Singh, Harendra Singh Negi, and RAAJ Ramsankaran

Related authors

Slowdown of glacier velocity emerging in the Zanskar Himalayas
Tirthankar Ghosh, Raaj Ramsankaran, Felicity S. McCormack, and Andrew N. Mackintosh
EGUsphere, https://doi.org/10.5194/egusphere-2025-5260,https://doi.org/10.5194/egusphere-2025-5260, 2025
This preprint is open for discussion and under review for The Cryosphere (TC).
Short summary
Augmented-reality-based snow visibility simulation for disaster preparedness in the Western Himalayas
Sanjay Saifi and RAAJ Ramsankaran
Proc. IAHS, 387, 73–77, https://doi.org/10.5194/piahs-387-73-2024,https://doi.org/10.5194/piahs-387-73-2024, 2024
Short summary
A comprehensive rock glacier inventory for Jammu, Kashmir, and Ladakh, western Himalaya, India – Baseline for the permafrost research
Imtiyaz Ahmad Bhat, Irfan Rashid, RAAJ Ramsankaran, Argha Banerjee, and Saurabh Vijay
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2023-522,https://doi.org/10.5194/essd-2023-522, 2024
Preprint withdrawn
Short summary
Scaling methods of leakage correction in GRACE mass change estimates revisited for the complex hydro-climatic setting of the Indus Basin
Vasaw Tripathi, Andreas Groh, Martin Horwath, and Raaj Ramsankaran
Hydrol. Earth Syst. Sci., 26, 4515–4535, https://doi.org/10.5194/hess-26-4515-2022,https://doi.org/10.5194/hess-26-4515-2022, 2022
Short summary
ESTIMATION OF SNOW DEPLETION CURVE FOR GANGOTRI BASIN USING MULTI-SOURCE REMOTE SENSING DATA
P. Verma, S. K. Ghosh, and R. Ramsankaran
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-3-2021, 197–202, https://doi.org/10.5194/isprs-annals-V-3-2021-197-2021,https://doi.org/10.5194/isprs-annals-V-3-2021-197-2021, 2021

Cited articles

Ahmad, S.: Impact of climate change on cryosphere-atmosphere-biosphere interaction over the Garhwal Himalaya, India, Disaster Adv., 13, 32–38, 2020. 
Amlien, J.,: Remote sensing of snow with passive microwave radiometers: A review of current algorithms. Norsk Regnesentral, Report No. 1019, 1–52, 2008. 
Ansari, H., Marofi, S., and Mohamadi, M.: Topography and Land Cover Effects on Snow Water Equivalent Estimation Using AMSR-E and GLDAS Data, Water Resour. Manag., 33, 1699–1715, https://doi.org/10.1007/S11269-019-2200-0, 2019. 
Aschbacher, J.: Land surface studies and atmospheric effects by satellite microwave radiometry, PhD thesis, University of Innsbruck, Innsbruck, Austria, https://www.elibrary.ru/item.asp?id=6853827 (last access: 29 January 2024), 1989. 
Bernier, P. Y.: Microwave Remote Sensing of Snowpack Properties: Potential and Limitations, Hydrol. Res., 18, 1–20, https://doi.org/10.2166/NH.1987.0001, 1987. 
Download
Short summary
In situ techniques for snow depth (SD) measurement are not adequate to represent the spatiotemporal variability in SD in the Western Himalayan region. Therefore, this study focuses on the high-resolution mapping of daily snow depth in the Indian Western Himalayan region using passive microwave remote-sensing-based algorithms. Overall, the proposed multifactor SD models demonstrated substantial improvement compared to the operational products. However, there is a scope for further improvement.
Share