Evaluation of Remote-Sensing Reflectance Products from Multiple Ocean Color Missions in Highly Turbid Water (Hangzhou Bay)

被引:10
|
作者
Xu, Yuzhuang [1 ,2 ]
He, Xianqiang [1 ,2 ,3 ]
Bai, Yan [1 ,2 ,3 ]
Wang, Difeng [2 ]
Zhu, Qiankun [2 ]
Ding, Xiaosong [2 ,4 ]
机构
[1] Shanghai Jiao Tong Univ, Sch Oceanog, Shanghai 200030, Peoples R China
[2] Minist Nat Resources, Inst Oceanog 2, State Key Lab Satellite Ocean Environm Dynam, Hangzhou 310012, Peoples R China
[3] Southern Marine Sci & Engn Guangdong Lab Guangzho, Guangzhou 511458, Peoples R China
[4] Hohai Univ, Coll Oceanog, Nanjing 210098, Peoples R China
基金
中国国家自然科学基金;
关键词
ocean color product; validation; ultra-highly turbid water; GOCI; COCTS; OLCI; SGLI; VIIRS; AERONET-OC; ATMOSPHERIC CORRECTION ALGORITHM; SUSPENDED PARTICULATE MATTER; AEROSOL OPTICAL-THICKNESS; NEAR-INFRARED BANDS; COASTAL WATERS; MONITORING PERFORMANCE; VICARIOUS CALIBRATION; LEAVING RADIANCE; DIURNAL DYNAMICS; SEAWIFS IMAGERY;
D O I
10.3390/rs13214267
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Validation of remote-sensing reflectance (Rrs) products is necessary for the quantitative application of ocean color satellite data. While validation of Rrs products has been performed in low to moderate turbidity waters, their performance in highly turbid water remains poorly known. Here, we used in situ Rrs data from Hangzhou Bay (HZB), one of the world's most turbid estuaries, to evaluate agency-distributed Rrs products for multiple ocean color sensors, including the Geostationary Ocean Color Imager (GOCI), Chinese Ocean Color and Temperature Scanner aboard HaiYang-1C (COCTS/HY1C), Ocean and Land Color Instrument aboard Sentinel-3A and Sentinel-3B, respectively (OLCI/S3A and OLCI/S3B), Second-Generation Global Imager aboard Global Change Observation Mission-Climate (SGLI/GCOM-C), and Visible Infrared Imaging Radiometer Suite aboard the Suomi National Polar-orbiting Partnership satellite (VIIRS/SNPP). Results showed that GOCI and SGLI/GCOM-C had almost no effective Rrs products in the HZB. Among the others four sensors (COCTS/HY1C, OLCI/S3A, OLCI/S3B, and VIIRS/SNPP), VIIRS/SNPP obtained the largest correlation coefficient (R) with a value of 0.7, while OLCI/S3A obtained the best mean percentage differences (PD) with a value of 13.30%. The average absolute percentage difference (APD) values of the four remote sensors are close, all around 45%. In situ Rrs data from the AERONET-OC ARIAKE site were also used to evaluate the satellite-derived Rrs products in moderately turbid coastal water for comparison. Compared with the validation results at HZB, the performances of Rrs from GOCI, OLCI/S3A, OLCI/S3B, and VIIRS/SNPP were much better at the ARIAKE site with the smallest R (0.77) and largest APD (35.38%) for GOCI, and the worst PD for these four sensors was only 13.15%, indicating that the satellite-retrieved Rrs exhibited better performance. In contrast, Rrs from COCTS/HY1C and SGLI/GCOM-C at ARIAKE site was still significantly underestimated, and the R values of the two satellites were not greater than 0.7, and the APD values were greater than 50%. Therefore, the performance of satellite Rrs products degrades significantly in highly turbid waters and needs to be improved for further retrieval of ocean color components.
引用
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页数:23
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