Mr. Harendra S. Negi Profile

Harendra S. Negi

at Proof & Experimental Establishment

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Proceedings Article | 12 December 2006 Paper

Effect of contamination and mixed objects on snow reflectance using spectroradiometer in Beas Basin, India

H. Negi, A. Kulkarni, S. Singh

Proceedings Volume 6411, 641115 (2006) https://doi.org/10.1117/12.693879

KEYWORDS: Reflectivity, Vegetation, Contamination, Soil contamination, Short wave infrared radiation, Near infrared, Algorithm development, Snow cover, Satellites, Visible radiation

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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.

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