光谱学与光谱分析 |
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Analysis of the Polarization Properties of Snow in a Different Melting State |
ZHANG Li-li, ZHAO Yun-sheng*, ZHANG Xia, SUN Tian-lin, LIANG Ren-feng, LIU Jie |
College of Urban and Environmental Sciences, Northeast Normal University, Changchun 130024, China |
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Abstract Nowdays, under the circumstance of global warming, the traditional study of solid-state snow can not meet the current needs. The present paper involves qualitative analysis of the polarization reflectance spectrum of snow in a different melting state. Special attention is paid to the investigation of the relationship among polarization angles, azimuth angles, the light incidence zenith angles, the detection zenith angles and the different types of snowmelt. It turns out that all these factors have certain influences on the polarization reflectance spectrum of different types of snowmelt. At the waveband of the visible light, the polarization reflectance of snowmelt is the largest at 90°, and the smallest at 0°. The wider the detection angles and the incidence angles, the larger the polarization reflectance. Anomalies (unusual phenomena), different from other spectra, occur when the polarization reflectance spectrum of snowmelt is observed at different azimuth angles. The characteristics of polarization spectra at some certain wavebands play an important role in determining the water content of snowmelt, and meanwhile with the increase of which, the polarization reflectance will go down obviously. These rules have laid a solid foundation for the quantitative analysis of snowmelt properties by using polarization spectrum in the future and are also of great importance in fresh water management as well as monitoring natural disasters such as the spring flood.
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Received: 2012-04-26
Accepted: 2012-07-05
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Corresponding Authors:
ZHAO Yun-sheng
E-mail: zhaoys975@nenu.edu.cn
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[1] JIANG Ling-mei, SHI Jian-cheng, ZHANG Li-xin(蒋玲梅, 施建成, 张立新). Journal of Remote Sensing(遥感学报), 2006, 10(4): 515. [2] ZHAO Yun-sheng, HUANG Fang, JIN Lun(赵云升, 黄 方, 金 伦). Journal of Remote Sensing(遥感学报), 2000, 4(2): 131. [3] CAO Mei-sheng, FENG Xue-zhi, JIN De-hong(曹梅胜,冯学智,金德洪). Journal of Glaciology and Geocryology(冰川冻土),1984,6(3): 17. [4] SUN Tian-lin,ZHAO Yun-sheng,LIANG Ren-feng(孙天琳,赵云升,梁壬凤). Spectroscopy and Spectral Analysis(光谱学与光谱分析),2012, 32(2): 450. [5] SONG Kai-shan, ZHAO Yun-sheng, JIN Lun(宋开山,赵云升,金 伦). Journal of Northeast Normal University(Natural Science)(东北师范大学报·自然科学版),2000, 32(4): 113. [6] SONG Kai-shan, ZHANG Bai, ZHAO Yun-sheng, et al(宋开山, 张 柏, 赵云升, 等). Journal of Remote Sensing(遥感学报), 2007, 11(5): 632. |
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