DocumentCode
2705903
Title
Spectra reflectance characteristics of different snow and snow-covered land surface objects and mixed spectrum fitting
Author
Jiahua Zhang ; Zhengming Zhou
Author_Institution
Sch. of Geosci., Yangtze Univ., Jingzhou, China
fYear
2011
fDate
24-26 June 2011
Firstpage
1
Lastpage
4
Abstract
The field spectroradiometer was used to measure spectra of different snow and snow-covered land surface objects in Beijing area. For a pure snow spectrum, the snow reflectance peaks appeared from visible to 800 nm band; there was an obvious absorption valley near the 1030 nm wavelength. Comparing with fresh snow, the reflection peaks of the old snow and melting snow showed decline to varying degrees in the ranges of 300-1300 nm, 1700-1800 nm, 2200-2300 nm. For the vegetation and snow mixed spectral characteristics, it indicated that the spectral reflectance increased for the snow-covered land types, due to influence of snow background in the range of 350-1300 nm. However, the spectrum reflectance of mixed pixel remained vegetation spectral characteristics. Based on the spectrum analysis of snow, vegetation, and mixed snow/vegetation pixels, the mixed spectral fitting equations were established, the results showed that there were good correlations between spectral curves by simulation fitting and observed ones.
Keywords
melting; radiometers; snow; terrain mapping; vegetation mapping; Beijing; China; absorption valley; field spectroradiometer; mixed spectral fitting equation; snow melting process; snow mixed spectral characteristics; snow spectrum characteristics; snow-covered land surface objects; spectra reflectance characteristics; vegetation mixed spectral characteristics; wavelength 1700 nm to 1800 nm; wavelength 2200 nm to 2300 nm; wavelength 300 nm to 1300 nm; Fitting; Land surface; Reflectivity; Snow; Surface fitting; Vegetation; Vegetation mapping; snow; snow-covered land surface object; spectral characteristics; spectral fitting Introduction;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoinformatics, 2011 19th International Conference on
Conference_Location
Shanghai
ISSN
2161-024X
Print_ISBN
978-1-61284-849-5
Type
conf
DOI
10.1109/GeoInformatics.2011.5980696
Filename
5980696
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