Presentation + Paper
19 October 2023 Development of spectral characteristics of contaminated snow in Himalayan region
Author Affiliations +
Abstract
Large forest fires tend to break out in the months of April, May and June in a number of Indian hilly states which are located in the western and central portion of the Himalayan area. In addition to this, neighboring regions on the Indo-Gangetic plains are also affected by significant vegetation fires. This can result in a high quantity of contaminants (ash, coal, wood, etc.) in the snow being delivered by a southerly wind into the glaciated region of the lower Himalayan Mountain ranges. The deposition of contamination can cause a reduction in the albedo of snow in the accumulation area and increase in temperature of snow surface, which in turn can cause snow to melt more quickly. Great Indian rivers, like the Ganges, Yamuna, and Indus are transporting snow meltwater to fields in northern India's plains, where many crops rely on irrigation water drawn from these rivers between monsoon seasons, and also a significant supply of drinkable water for a great number of mountain villages. Due to the contamination of snow, the water quality in these rivers may be affected. So, it is essential to understand about the spectral characteristics of contaminants that are present in the snow. So, the study demonstrated the collection of reflectance spectra of contaminated snow and analysis of contaminated snow spectral characteristics using reflectance spectra and snow indices.
Conference Presentation
(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Vivek Balla and Pradeep Kumar Garg "Development of spectral characteristics of contaminated snow in Himalayan region", Proc. SPIE 12734, Earth Resources and Environmental Remote Sensing/GIS Applications XIV, 127340I (19 October 2023); https://doi.org/10.1117/12.2685084
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KEYWORDS
Contamination

Reflectivity

Mixtures

Visible radiation

Short wave infrared radiation

Absorption

Remote sensing

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