Algorithm of Inland Water Retrieval Based on Spectral Matching
YANG Shuo1,2, WANG Shi-xin1*, ZHOU Yi1，YAN Fu-li1, WANG Feng1，2
1. The State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Institute of Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal University, Beijing 100101, China 2. Graduate University of Chinese Academy of Sciences, Beijing 100049, China
Abstract：This present paper presents a new inversion method of inland water based on spectral matching. First step of this method is using the known water surface measured hyperspectral and the absorption coefficient of each component, and obtaining backscattering coefficient of suspended matter with bio-optical model. The second step is calculation of the spectral reflectance of water bodies based on bio-optical model，through the cross-combination of inherent optical property of water components (chlorophyll, suspended matter, yellow substance), in order to create a look-up table of Rrs that corresponds to all combinations of water component. The third step is changing the look-up table data into MODIS spectral data using MODIS channel response function. The final study examined the applicability of the look-up table using the Hyperspectral and MODIS bands spectra, based on the minimum distance principle, to find the best matched spectra, thus it has found corresponding concentrations of three components. The average relative error of chlorophyll and suspended matter is 38.6% and 28% respectively. Optical properties of water components interfere with each other because of the complexity of inland water bodies, resulting in difficulty to extract the feature band for statistical model, and while it is hard for bio-optical model inversion method to solve the unstable problem of special inherent optical property with the seasons and regional issues, the method of this paper would have the advantages of bio-optical model, while eliminating instability of special inherent optical property, so it is a good approach to inland water retrieval.
杨 硕1,2，王世新1*，周 艺1，阎福礼1，王 峰1,2 . 基于光谱匹配的内陆水体反演算法 [J]. 光谱学与光谱分析, 2010, 30(11): 3056-3060.
YANG Shuo1,2, WANG Shi-xin1*, ZHOU Yi1，YAN Fu-li1, WANG Feng1，2 . Algorithm of Inland Water Retrieval Based on Spectral Matching . SPECTROSCOPY AND SPECTRAL ANALYSIS, 2010, 30(11): 3056-3060.
[1] Curtis D Mobley. Light and Water. Radiative Transfer in Natural Waters. San Diego: Academic Press, 2004. [2] Gordon H R，Brown O B，Jacobs M. Applied Optics，1975，14(2)：413. [3] ZHOU Yi, ZHOU Wei-qi, WANG Shi-xin, et al(周 艺，周伟奇，王世新，等). Advance in Water Science(水科学进展)，2004，15(3)：312. [4] XIONG Yu-jiu, ZENG Shuang, WU Xiu-qin, et al(熊育久，曾 爽，吴秀芹，等). Remote Sensing Information(遥感信息), 2008, (3): 92. [5] XU Jing-ping, ZHANG Bai, SONG Kai-shan, et al(徐京萍，张 柏，宋开山，等). Journal of Infrared and Millimeter Waves(红外与毫米波学报), 2008，27(3)：197. [6] TANG Jun-wu，TIAN Guo-liang，WANG Xiao-yong，et al(唐军武，田国良，汪小勇). Journal of Remote Sensing(遥感学报). 2004，8(1): 37. [7] LI Jun-sheng, ZHANG Bing, ZHANG Xia, et al(李俊生, 张 兵, 张 霞, 等). Journal of Remote Sensing(遥感学报), 2008, 12(2)：193. [8] Dekker A G，Peters S W M. Intemational Journal of Remote Sensing，1993，14(5)：799.
