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Proceedings Paper

Effect of contamination and mixed objects on snow reflectance using spectroradiometer in Beas Basin, India
Author(s): H. S. Negi; A. V. Kulkarni; S. K. Singh
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Paper Abstract

Field observations were carried out using Spectroradiometer (350-2500nm) to understand effect of contamination on the snow reflectance and mix of snow, vegetation and soil by different proportions on its reflectance. The experiments were carried out in Beas Basin, India during the winter 2004-05 and 2005-06. The investigation has shown that as contamination increases, snow reflectance decreases in all wavelengths, however highest decrease was observed in visible region. In addition, peak of reflectance shifted to high wavelengths, as amount contamination increases. For snow cover and soil cover mix, as proportion of soil cover increases reflectance increases in SWIR region and decreases in visible region. In snow and vegetation mix, as proportion of vegetation increases, curve pattern of vegetation was observed. This means reflectance and absorption due to vegetation presence in visible and NIR region can be observed. If proportion of vegetation area is equal to snow, then reflectance pattern is similar to vegetation. However, if vegetation proportion is lower, then reflectance curve moves to higher reflectance range in visible and NIR region and beyond that reflectance slightly reduces. This study suggests, if hyperspectral data is available then proportion of snow in mixed pixel can be estimated. This study will help in improving existing Normalized Difference Snow Index based algorithms for snow cover monitoring and developing new algorithm, if hyperspectral data is available.

Paper Details

Date Published: 12 December 2006
PDF: 12 pages
Proc. SPIE 6411, Agriculture and Hydrology Applications of Remote Sensing, 641115 (12 December 2006); doi: 10.1117/12.693879
Show Author Affiliations
H. S. Negi, Snow and Avalanche Study Establishment (India)
A. V. Kulkarni, Space Applications Ctr. (India)
S. K. Singh, Space Applications Ctr. (India)

Published in SPIE Proceedings Vol. 6411:
Agriculture and Hydrology Applications of Remote Sensing
Robert J. Kuligowski; Jai S. Parihar; Genya Saito, Editor(s)

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