Analysis on the spectral reflectance response to snow contaminants in northeast China

By simulating atmospheric deposition experiment, this paper analyzed the relationship between the measured spectral reflectance and the concentrations of contaminants in the snow. It is found that the visible spectrum is sensitive to snow contaminants. From 350nm to 850nm, with the increase concentr...

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Bibliographic Details
Main Authors: Xiaochun Lei, Kaishan Song, Zongming Wang, Jia Du, Yanqing Wu, Yuandong Wang, Xuguang Tang, Lihong Zeng, Guangjia Jiang, Dianwei Liu, Bai Zhang
Format: Conference Proceeding
Language:English
Subjects:
Atmospheric measurements
Atmospheric modeling
Contaminants
Correlation
Hyperspectral remote sensing
Pollution measurement
Reflectivity
Snow
Snow reflectivity
Surface contamination
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Summary:By simulating atmospheric deposition experiment, this paper analyzed the relationship between the measured spectral reflectance and the concentrations of contaminants in the snow. It is found that the visible spectrum is sensitive to snow contaminants. From 350nm to 850nm, with the increase concentrations of contaminants in snow, snow reflectivity dramatically decreases. We get the conclusion that the most sensitive bands to snow contaminants are 384nm, 450nm and 1495nm.Using the non-linear regression method to analyze the relationship between spectral reflectance and the contaminants. The results showed the reflectivity of snow at visible bands logarithmically decreases with the snow contaminants increasing; the R 2 can reach 0.9.To the contrary, the spectral reflectance at nearinfrared increases with the snow contaminants increasing. Therefore, this method can be combined satellite image to forecast the contaminants in the snow at large-scale.
ISSN:2153-6996
2153-7003
DOI:10.1109/IGARSS.2010.5650972