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Hyperspectral analysis of snow reflectance to understand the effects of contamination and grain size

  • S.K. Singh (a1), A.V. Kulkarni (a1) and B.S. Chaudhary (a2)
Abstract

Reflectance data for contaminated and different grain-size snow were collected using a spectroradiometer ranging from 350 to 2500 nm. Contamination was predominantly due to soil. The radiometer data were binned at 10 nm intervals by averaging, and then principal component analysis, shape, size and strength of the absorption peak, first and second derivatives were computed, providing information about the effect of grain size and contamination on snow reflectance. Relative strength for contamination and grain size showed a distinct reverse pattern at 1025 nm after continuum removal. Band absorption depth at 1025 nm showed an increase with increasing snow grain size, whereas the band depth was found to decrease with increased soil contamination. The curve shape was right asymmetric and showed a change to left asymmetry with increase in contamination. The first derivative of reflectance in the visible region showed a shift of peak due to contamination. Soil contamination significantly reduced the albedo of snow at a low level of contamination but showed little influence at higher level. Relative strength, shape of curve and reflectance characteristics have shown the potential to identify the influence of contamination and grain-size based metamorphism using satellite-based hyperspectral remote sensing.

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References
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Clark, R.N. and Roush, T.L.. 1984. Reflectance spectroscopy: quantitative analysis techniques for remote sensing applications. J. Geophys. Res., 89(B7), 63296340.
Dozier, J., Schneider, S.R. and McGinnis, D.F. Jr. 1981. Effect of grain size and snowpack water equivalence on visible and near-infrared satellite observations of snow. Water Resour. Res., 17(4), 12131221.
Gao, B.-C., Heidebrecht, K.B. and Goetz, A.F.H.. 1993. Derivation of scaled surface reflectances from AVIRIS data. Remote Sens. Environ., 44(2–3), 165178.
Gerland, S. and 6 others. 1999. Physical and optical properties of snow covering Arctic tundra on Svalbard. Hydrol. Process., 13(14), 23312343.
Green, R.O., Painter, T.H., Roberts, D.A. and Dozier, J.. 2006. Measuring the expressed abundance of the three phases of water with an imaging spectrometer over melting snow. Water Resour. Res., 42(W10), W10402. (10.1029/2005WR004509.)
Hall, D.K., Riggs, G.A. and Salomonson, V.V.. 1995. Development of methods for mapping global snow cover using Moderate Resolution Imaging Spectroradiometer (MODIS) data. Remote Sens. Environ., 54(2), 127140.
Hall, D.K., Riggs, G.A., Salomonson, V.V., DiGirolamo, N. and Bayr, K.J.. 2002. MODIS snow-cover products. Remote Sens. Environ., 83(1–2), 181194.
Kulkarni, A.V., Singh, S.K., Mathur, P. and Mishra, V.D.. 2006. Algorithm to monitor snow cover using AWiFS data of RESOURCESAT-1 for the Himalayan region. Int. J. Remote Sens., 27(12), 24492457.
Mohile, C.M., Pethkar, J.S. and Deshpande, N.R.. 2004. Climatic variability over western Himalaya. In Proceedings of the International Symposium on Snow Monitoring and Avalanches, 12–16 April 2004, Manali, India. Manali, Snow and Avalanche Study Establishment, 171200.
Negi, H.S., Kulkarni, A.V. and Semwal, B.S.. 2009. Study of contaminated and mixed objects snow reflectance in Indian Himalaya using spectroradiometer. Int. J. Remote Sens., 30(2), 315325.
Nolin, A.W. and Dozier, J.. 1993. Estimating snow grain size using AVIRIS data. Remote Sens. Environ., 44(2–3), 231238.
Nolin, A.W. and Dozier, J.. 2000. A hyperspectral method for remotely sensing the grain size of snow. Remote Sens. Environ., 74(2), 207216.
O’Brien, H.W. and Munis, R.H.. 1975. Red and near-infrared spectral reflectance of snow. CRREL Res. Rep. 332.
Painter, T.H., Dozier, J., Roberts, D.A., Davis, R.E. and Green, R.O.. 2003. Retrieval of subpixel snow-covered area and grain size from imaging spectrometer data. Remote Sens. Environ., 85(1), 6477.
Price, J.C. 1998. An approach for analysis for reflectance spectra. Remote Sens. Environ., 64(3), 316330.
Singh, S.K., Negi, H.S., Babu, G.R.K., Kulkarni, A.V. and Sharma, J.K.. 2005. Spectral reflectance investigations of snow and other objects using ASD spectroradiometer. Ahmedabad, Space Applications Centre. (SAC Scientific Note RSAM/SAC/RESIPA/MWRG-GLI/SN-23/2005.)
Singh, S.K., Negi, H.S. and Kulkarni, A.V.. 2008. Study of snowpack characteristics using field spectroradiometer in Beas basin, H.P. In Proceedings of the International Workshop on Snow, Ice, Glacier and Avalanches, 7–9 January 2008, Mumbai, India. New Dehli, Tata McGraw-Hill Publishing Company. (Annexure.)
SPSS Inc. 1999. SPSS for Windows, Release 10.0.5. Chicago, IL, SPSS Inc.
Warren, S.G. and Wiscombe, W.J.. 1980. A model for the spectral albedo of snow. II. Snow containing atmospheric aerosols. J. Atmos. Sci., 37(12), 27342745.
Wiscombe, W.J. and Warren, S.G.. 1980. A model for the spectral albedo of snow. I. Pure snow. J. Atmos. Sci., 37(12), 27122733.
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Annals of Glaciology
  • ISSN: 0260-3055
  • EISSN: 1727-5644
  • URL: /core/journals/annals-of-glaciology
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