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Validations of the HY-1C COCTS remote sensing reflectance products in coastal waters

  • role： First author第一作者
  • Affiliation：

    School of Oceanography, Shanghai Jiao Tong University, Shanghai 200030, China

    State Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography, Ministry of Natural Resources, Hangzhou 310012, China

  • Email：xuyuzhuang007@163.com
  • Introduction：许玉壮，研究方向为水色卫星遥感。E-mail： xuyuzhuang007@163.com
XU Yuzhuang12,  
  • role： Corresponding author通信作者
  • Affiliation：

    School of Oceanography, Shanghai Jiao Tong University, Shanghai 200030, China

    State Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography, Ministry of Natural Resources, Hangzhou 310012, China

  • Email：hexianqiang@sio.org.cn
  • Introduction：何贤强，研究方向为水色卫星遥感。E-mail： hexianqiang@sio.org.cn
HE Xianqiang12*,  
  • Affiliation：

    School of Oceanography, Shanghai Jiao Tong University, Shanghai 200030, China

    State Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography, Ministry of Natural Resources, Hangzhou 310012, China

BAI Yan12,  
  • Affiliation：

    State Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography, Ministry of Natural Resources, Hangzhou 310012, China

ZHU Qiankun2,  
  • Affiliation：

    State Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography, Ministry of Natural Resources, Hangzhou 310012, China

GONG Fang2

Resümee

A large number of global observation data was obtained by HY-1C COCTS since its launch in September 2018. The comprehensive evaluation of the HY-1C/COCTS products is important for further applications. In this study, we used the global in-situ data from AERONET-OC to evaluate the performance of the remote sensing reflectance (Rrs) products of the HY-1C COCTS. Firstly, the AERONET-OC dataset were divided into four optical water types (A, clean water; B, relatively clean water; C, slightly turbid water; D, turbid water) based on a spectral normalization method. Secondly, the AERONET-OC Rrs data and HY-1C/COCTS retrieved Rrs data were matched according to the defined spatial-temporal windows (5×5 box and 1 hour). Finally, the performances of the HY-1C/COCTS Rrs products were quantitatively evaluated in the four optical water types. As a result, good correlation between satellite and in-situ Rrs data was indicated as R values among four types water ranged from 0.680 to 0.879. In type A water, the relatively good consistency between satellite and in-situ Rrs data was observed as average percent difference (PD) at 6.79%, and the average absolute percent difference (APD) at 38.79%. In type B water, slight overestimation of satellite data occurred with PD at 18.73% and APD less than 45%. Underestimation of satellite data was reported in type C water, as negative remote sensing Rrs data in 412 nm and 443 nm bands were with PD at -14.38% and APD at 47.14%. Similarly, in type D water, negative Rrs in 412 nm and 443 nm bands were with PD at -32.35%, and APD at 47.14%, indicating significant underestimation from the satellite data. In addition, difference of accuracy performance of Rrs products in different bands of COCTS for four water types was also observed. Rrs presented good consistency between in situ and COCTS data in band 412 nm and 443 nm for type A water. Better consistency in band 520 nm and 565 nm was observed for type C, D water than type A water while significant underestimation of COCTS Rrs were reported in all four types of water compared to in situ data. Overall, COCTS and in situ Rrs data showed good consistency in clean water, but remained relatively inconsistent in turbid water. Our results also reported that the COCTS inversed Rrs products are slightly overestimated compared with the AERONET-OC in situ data in type A and B water. In contrast, COCTS products slightly underestimated Rrs for type C water but significantly underestimated for type D water. Attention should also be paid to enlarge the evaluated errors, as the AERONET-OC in-situ spectral data was linearly interpolated to match COCTS band. In the future, the hyperspectral in-situ Rrs data should be used to further evaluate the performance of COCTS.

Schlüsselwort

HY-1C;COCTS;remote sensing reflectance;AERONET-OC;validation

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