1. Editorial Department of Journal, Central China Normal University, Wuhan 430079, China 2. School of Urban and Environment Science, Central China Normal University, Wuhan 430079, China 3. State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079，China 4. The Key Laboratory of Poyang Lake Wetland and Watershed Research, Ministry of Education, Jiangxi Normal University, Nanchang 330022，China
Abstract：HJ-1A/1B satellite CCD images have higher spatial and temporal resolution, making them of great potential in quantitatively monitoring the water quality of inland lakes. However, the atmospheric correction of the images restricts their application. Therefore, taking Poyang Lake, the biggest freshwater lake in China as study area , and using the in-situ data collected in 2009 and 2011, this paper compares the atmospheric correction results done by the four methods: FLAASH, 6S, COST and QUAC, and analyzes the influence of these atmospheric correction methods on the inversion accuracy of the total suspended sediments (TSS) concentration. The results indicate: (1) the band 1 (blue band) of HJ-1A/1B CCD satellite images should be recalibrated while being applied into water quality remote sensing. The accuracy of atmospheric correction done from band 2 (green band) and band 3 (red band) is higher than that of others , especially that of the correction done by FLAASH, 6S and COST is much higher while that of correction done by QUAC is lower. So the algorithms of QUAC should be pointedly improved. (2) The ratios done from band 2 and band 3 have a good match with in-situ data , with an average relative error of 8.2%, 9.5%, 7.6% and 11.6% respectively for FLAASH, 6S, COST and QUAC. Therefore, it would be better to use the ratio done from band 2 and band 3 as inversion factors in Poyang Lake. (3) It is found that the accuracy of directly building models by using the four atmospheric corrected results and the TSS concentration is higher than the models built by the in-situ remote sensing reflectance and the TSS concentration. The accuracy of the TSS concentration inverted by FLAASH, 6S and COST is much high with an average error of only 10.0%, 10.2% and 8.0% respectively, while the error inverted by QUAC is a little bit higher of being 18.6%. So it is suggested to build model with atmospheric correction results and the TSS concentration data, because it can avoid the cumulate error resulted from modeling by using the in-situ spectrum data. (4) Under a low requested situation, these four atmospheric correction algorithms can all be adopted; otherwise, the COST should be used in the case of lacking supplementary information.
Key words：Water color remote sensing;Atmospheric correction;HJ-1A/1B satellite;6S;FLAASH;COST;QUAC
曾 群1, 2，赵 越2，田礼乔3*，陈晓玲3, 4 . HJ-1A/1B卫星CCD影像水环境遥感大气校正方法评价研究——以鄱阳湖为例 [J]. 光谱学与光谱分析, 2013, 33(05): 1320-1326.
ZENG Qun1，2, ZHAO Yue2, TIAN Li-qiao3*, CHEN Xiao-ling3, 4 . Evaluation on the Atmospheric Correction Methods for Water Color Remote Sensing by Using HJ-1A/1B CCD Image-Taking Poyang Lake in China as a Case. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2013, 33(05): 1320-1326.
[1] Gordon H R, Wang M H. Applied Optics，1994，33: 443. [2] PAN De-lu, Doerffer R(潘德炉，Doerffer R). Acta Oceanologica Sinica(海洋学报)，1997，19: 43. [3] YU Zhifeng, CHEN Xiaoling, ZHOU Bin, et al. Chinese Journal of Oceanology and Limnology，2012，30(2): 295. [4] JIN Xin, LI Yun-mei, WANG Qiao, et al(金 鑫，李云梅，王 桥，等). Journal of Lake Sciences(湖泊科学)，2010，22(4): 504. [5] XU Hua, GU Xing-fa, LI Zheng-qiang, et al(许 华，顾行发，李正强，等). Spectroscopy and Spectral Analysis (光谱学与光谱分析)，2011，31(10)：2798. [6] TIAN Liqiao, LU Jianzhong, CHEN Xiaoling, et al. Science China: Technological Sciences，2010，53: 191. [7] YU Xiujuan, YAN Qin, LIU Zhengjun. The 3rd International Congress on Image and Signal Processing, Yantai, China. 2010，5: 2125. [8] DU Xin, CHEN Xue-yang, MENG Ji-hua, et al(杜 鑫，陈雪洋，蒙继华，等). Remote Sensing for Land & Resources(国土资源遥感)，2010，2: 22. [9] SUN Zhiqun, LIU Zhihui. Proceedings of 2010 International Conference on Remote Sensing, Hangzhou, China. 2010. 3. [10] WANG Menghua, Shi W. Optics Express, 2007，15(24): 15722. [11] FENG Lian, HU Chuanmin, CHEN Xiaoling, et al. Human Induced Turbidity Changes in Poyang Lake between 2000 and 2010: Observations from MODIS. Journal of Geophysical. Research – Oceans. 117, C07006. [12] HU Chuanmin, CHEN Zhiqiang, CLAYTON Tonya D，et al. Remote Sensing of Environment，2004，90(3): 423. [13] ITT Visual Information Solutions. Atmospheric Correction Module: QUAC and FLAASH User’s Guide，2009. [14] CUI Lijuan, WU Guofeng, Liu Yaoling. Hydrological Processes，2009，23: 342. [15] TANG Jun-wu, TIAN Guo-liang, WANG Xiao-yong, et al(唐军武, 田国良, 王小勇，等). Journal of Remote Sensing(遥感学报)，2004，8(1): 37. [16] Vermote E, Tanre D, Deuze J L, et al. 6S User Guide Version 2. 1997. 7. [17] ZHAO Yue, ZENG Qun, CHEN Xiao-ling, et al(赵 越，曾 群，陈晓玲，等). Journal of Huazhong Normal University(华中师范大学学报)，2012，46(6): 757. [18] HUANG Miao-fen, NIU Sheng-li, SUN Zhong-ping, et al(黄妙芬，牛生丽，孙中平，等). Remote Sensing Information(遥感信息)，2010，4: 68.
