An Approach to Measure Snow Depth of Winter Accumulation at Basin Scale Using Satellite Data
Snow depth estimation and monitoring studies have been carried out for decades using empirical relationship or extrapolation of point measurements carried out in field. With the development of advanced satellite based remote sensing techniques, a modified approach is proposed in the present study to estimate the winter accumulated snow depth at basin scale. Assessment of snow depth by differencing Digital Elevation Model (DEM) generated at the beginning and end of winter season can be experimented for the region of interest (Himalayan and polar regions) accounting for winter accumulation (solid precipitation). The proposed approach is based on existing geodetic method that is being used for glacier mass balance estimation. Considering the satellite datasets purely acquired during beginning and end of winter season, it is possible to estimate the change in depth or thickness for the snow that is accumulated during the winter as it takes one year for the snow to get transformed into firn (snow that has survived one summer or one-year old snow).
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.2576920Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 622
 Das, I., &Sarwade, R. N. (2008). Snow depth estimation over North Western Indian Himalaya using AMSR-E. International Journal of Remote Sensing, 29(14), 4237–4248.
 Knight, P.G. (1999) Glaciers. 261 pages. isbn: 0-7487-4000-7
 Lang, H. and Patzelt, G.: Volume changes of the back ice (Otztal Alps) compared to the mass change in the period 1953-64, Journal of Glacial Science and Glacial Geology, 7 (1 -2), 229-238, 1971.
 Funk, M., Morelli, R., Stahel, W., “Mass Balance of Griesgletscher 1961–1994: Different Methods of Determination”, Journal of Glacial science and Glacial Geology, 1997, pp. 41–55.
 Savage JC (1983) Strain accumulation in the Western United States. Annual Review of Earth and Planetary Sciences 11: 11–41. http://dx.doi.org/10.1145/annurev. ea.11.0501083.000303.
 Casana J, Cothren J (2008) Stereo analysis, DEM extraction and orthorectification of CORONA satellite imagery: archaeological applications from the Near East. Antiquity 82 (317): 732–749.
 Crippa B., Crosetto M., Mussio L., 1998. The Use of Interferometric SAR for Surface Reconstruction. Proceedings of the ISPRS – Commission I Symposium, Bangalore (India), Int. Arch. Vol. XXXII, Part 1, pp. 172-177.
 Graham L.C., 1974. Topographic Mapping from Interferometric SAR Observations. Proc. IEEE Vol. 62, pp. 763-768. Hanssen R, Feijt A., 1996. A first quantitative evaluation of atmospheric effects on SAR interferometry.
 Proceedings of ESA Fringes 1996, Zurich (Switzerland). Http://www.geo.unizh.ch/rsl/fringe96/papers/hanssen Koskinen J., 1995. The ISAR-Interferogram Generator Manual ESA/ESRIN, Frascati, Italy.
 Zebker H.A., Goldstein R.M., 1986. Topographic Mapping from Interferometric SAR Observations. Journal of Geophysical Research, Vol. 91, No. B5, pp.4993- 4999.
 Fritsch, D., 1995. “Introduction into digital aerial triangulation”. Photogrammetric week ’95, Wichmann Verlag, pp. 165-171.
 Gardelle, J., Berthier, E. and Arnaud, Y., Slight mass gain ofKarakorum glaciers in the early 21st century. Nature Geosci.,2012, 5, 322–325.
 Nuth, C. and Kääb, A.: Co-registration and bias corrections of satellite elevation data sets for quantifying glacier thickness change, The Cryosphere, 5, 271-290, https://doi.org/10.5194/tc-5-271-2011, 2011.