光谱学与光谱分析 |
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Study on Polarization Spectral Feature of Suspended Sediment in the Water Body |
ZHU Jin1, 2, WANG Xian-hua1, 2, PAN Bang-long1, 2, 3 |
1. Key Laboratory of Optical Calibration and Characterization, Chinese Academy of Sciences, Hefei 230031, China 2. Anhui Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Hefei 230031, China 3. Environment Engineering Department, Anhui University of Architecture, Hefei 230601, China |
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Abstract Remote sensing of lake water based on water-leaving radiance is to retrieve the concentrations of suspended sediment, phytoplankton and yellow substance which have great impacts on spectrum to assess the water quality. Howerver, because of the complexity of the lake water compositons and the interference between the different components, it is of great difficulty to get accurate results with the reflectance spectrum method developed recently. In the present paper, the authors firstly discussed the reflectance and polarization spectral feature of suspended sediment water body, found out the relations of the reflectance and the degree of polarization of water-leaving radiance and the concentration of suspended sediment at the sensitive bands. The authors also compared the effectiveness of the retrieval approaches based on reflectance and polarization in laboratory water body and Chaohu water body respectively. The results show that in the lake water body where the constituents are very complex, the polarization information has greater capacity of anti-jamming, therefore it will have great potential applictions in lake water quality remote sensing.
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Received: 2011-09-17
Accepted: 2011-11-08
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Corresponding Authors:
ZHU Jin
E-mail: zhj866@mail.ustc.edu.cn
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[1] MA Rong-hua, TANG Jun-wu(马荣华,唐军武). Advances in Water Science(水科学进展), 2006, 17(5): 720. [2] O’Reilly J E, Maritorena S, Mitchell B G, et al. Journal of Geophysical Research, 1998, 103(C11): 24937. [3] REN Jing-ping, ZHAO Jin-ping(任敬萍, 赵进平). Advance in Earth Sciences(地球科学进展), 2002, 17(3): 363. [4] Malik Chami, David McKee. Optical Express, 2007, 15(15): 9494. [5] George W. Kattawar Charles N. Adamsimnol Oceanogr, 1989, 34(8): 1453. [6] Jacek Chowdhary, Brian Cairns Larry D. Travis. Applied Optics, 2006, 45(22): 5542. [7] Ahmed S, Gilerson A, Oo, M, et al. Proc. of SPIE, 2006, 6360: 636003. [8] TANG Jun-wu, TIAN Guo-liang, WANG Xiao-yong, et al(唐军武,田国良,汪小勇, 等). Journal of Remote Sensing(遥感学报), 2004, 8(1): 37. [9] ZHANG Qiao, SUN Xiao-bing, HONG Jin, et al(张 荞, 孙晓兵, 洪 津). Geomatics and Information Science of Wuhan University(武汉大学学报·信息科学版), 2011, 36(6): 708. [10] Malik Chami. Journal of Geophysical Research, 2007, 116: C05026. [11] Malik Chami, Richard Santer, Eric Dilligeard. Applied Optics, 2001, 40(15): 2398. [12] CHEN Xing-feng, GU Xing-fa, CHENG Tian-hai, et al(陈兴峰,顾行发,程天海, 等). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2011, 31(6): 1648. [13] Zhao Qiaohua, Qin Boqiang. Acta Scientiae Circumstantiae, 2008, 28(9):1813. |
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