Estimating Atmospheric Dust Pollutants Content Deposited on Snow Surfaces From In Situ Spectral Reflectance Measurements and Satellite Data

• Published in: IEEE journal of selected topics in applied earth observations and remote sensing 2024, Vol.17, p.7903-7917
• Main Authors: Shao, Donghang, Li, Hongyi, Kokhanovsky, Alexander, Ji, Wenzheng, Zhong, Xinyue, Li, Haojie, Li, Hongxing, Hao, Xiaohua
• Format: Article
• Language: English
• Subjects: Air pollution; Albedo; Atmospheric dust pollutants; Atmospheric particulates; Coefficient of variation; Dust; dust mass concentration (DMC); Glaciers; Ice; Ice surface; Imaging radiometers; Imaging techniques; In situ measurement; Infrared imaging; Infrared radiometers; light-absorbing impurity; Monitoring; Monitoring methods; Monte Carlo methods; Pollutants; Radiative transfer; Radiometers; Radiometry; Reflectance; Reflectivity; Remote sensing; Root-mean-square errors; Satellite observation; Satellites; Snow; Snow cover; Spectral reflectance; Spectroradiometers; Surface contamination; Surface treatment
• ISSN: 1939-1404; 2151-1535
• DOI: 10.1109/JSTARS.2024.3381009

Dust deposited on the surface of snow and glaciers can significantly reduce the snow and ice albedo and accelerate melting. Manual observations of the dust mass concentration (DMC) on snow and glacier surfaces are routinely performed at many locations worldwide. However, snow and ice surface DMC monitoring methods based on remote sensing data still face challenges. This study presents a new retrieval scheme for estimating dust load on snow-covered surfaces from a moderate-resolution imaging spectroradiometer and visible infrared imaging radiometer suite in Northeast and Northwest China that utilizes a classical snow radiative transfer model. Our results indicate that the coefficient of variation of DMC retrieved from the in situ measurements of snow spectral reflectance is 4%, which is within a +4% difference compared with DMC observed in snow and ice samples. Estimating atmospheric dust pollutants content deposited on snow surfaces based on satellite remote sensing observations is feasible. In Northwest China, the root-mean-square error (RMSE) of the DMC values retrieved from VNP09GA data is 9.78 ppm, while that of the DMC values retrieved from MOD09GA data is 13.74 ppm. In Northeast China, the RMSE of the DMC values retrieved from VNP09GA data is 73.98 ppm, while that of the DMC values retrieved from MOD09GA data is 184.32 ppm. The research results can realize continuous monitoring of the atmospheric dust pollutants deposited on snow surfaces, which is of great practical significance to understanding and studying the pollution process of atmospheric dust on snow.