HY-1C卫星COCTS近海水体遥感反射率产品真实性检验

许玉壮; 何贤强; 白雁; 朱乾坤; 龚芳

doi:10.11834/jrs.20235004

数据处理与定标检验 | 浏览量 : 0 下载量: 904 CSCD: 0

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HY-1C卫星COCTS近海水体遥感反射率产品真实性检验
Validations of the HY-1C COCTS remote sensing reflectance products in coastal waters
2023年27卷第1期页码：14-25
收稿：2022-01-13，

纸质出版：2023-01-07
DOI： 10.11834/jrs.20235004
稿件说明：

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许玉壮，何贤强，白雁，朱乾坤，龚芳.2023.HY-1C卫星COCTS近海水体遥感反射率产品真实性检验.遥感学报，27（1）： 14-25 DOI： 10.11834/jrs.20235004.

Xu Y Z， He X Q， Bai Y， Zhu Q K and Gong F. 2023. Validations of the HY-1C COCTS remote sensing reflectance products in coastal waters. National Remote Sensing Bulletin， 27（1）：14-25 DOI： 10.11834/jrs.20235004.

摘要

中国HY-1C卫星水色水温扫描仪（COCTS）从2018年9月发射至今已积累了大量的全球观测数据，本文利用AERONET-OC实测数据集对COCTS近海水体遥感反射率（

rs）产品进行了真实性检验。本文对实测光谱数据集进行归一化处理，按光谱特征分为A（清洁）、B（比较清洁）、C（轻微浑浊）、D（比较浑浊）这4种光学水体类型，对COCTS

rs产品在这4类水体的精度进行评价。结果表明：COCTS反演

rs在A、B两种水体类型中存在轻微高估（平均绝对百分比误差APD（Average absolute Percent Difference）分别为38.79%、44.44%），在C类水体轻微低估（APD=40.85%），而在D类水体显著低估（APD=47.14%）。COCTS不同波段

rs产品在4类水体的精度亦存在差异，其中412 nm、443 nm波段在A类水体中和实测数据一致性相对较好（APD均小于30%）；520 nm、565 nm波段在C、D两类水体中和实测数据一致性相对较好（APD均小于30%）；670 nm波段在4种水体均呈现显著低估。由于AERONET-OC波段和COCTS存在差异，可能会导致评估误差存在高估，未来需要使用连续光谱的实测数据进一步评价COCTS产品精度。

Abstract

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 (

rs) 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

rs data and HY-1C/COCTS retrieved

rs data were matched according to the defined spatial-temporal windows (5×5 box and 1 hour). Finally

the performances of the HY-1C/COCTS

rs products were quantitatively evaluated in the four optical water types. As a result

good correlation between satellite and in-situ

rs 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

rs 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

rs 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

rs 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

rs products in different bands of COCTS for four water types was also observed.

rs 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

rs were reported in all four types of water compared to in situ data. Overall

COCTS and in situ

rs data showed good consistency in clean water

but remained relatively inconsistent in turbid water. Our results also reported that the COCTS inversed

rs products are slightly overestimated compared with the AERONET-OC in situ data in type A and B water. In contrast

COCTS products slightly underestimated

rs 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

rs data should be used to further evaluate the performance of COCTS.

关键词

Keywords

references

Bailey S W and Werdell P J . 2006 . A multi-sensor approach for the on-orbit validation of ocean color satellite data products . Remote Sensing of Environment , 102 ( 1/2 ): 12 - 23 [ DOI: 10.1016/j.rse.2006.01.015 http://dx.doi.org/10.1016/j.rse.2006.01.015 ]

Balasubramanian S V , Pahlevan N , Smith B , Binding C , Schalles J , Loisel H , Gurlin D , Greb S , Alikas K , Randla M , Bunkei M , Moses W , Nguyễn H , Lehmann M K , O'Donnell D , Ondrusek M , Han T H , Fichot C G , Moore T and Boss E . 2020 . Robust algorithm for estimating total suspended solids (TSS) in inland and nearshore coastal waters . Remote Sensing of Environment , 246 : 111768 [ DOI: 10.1016/j.rse.2020.111768 http://dx.doi.org/10.1016/j.rse.2020.111768 ]

Barnes B B , Cannizzaro J P , English D C and Hu C M . 2019 . Validation of VIIRS and MODIS reflectance data in coastal and oceanic waters: an assessment of methods . Remote Sensing of Environment , 220 : 110 - 123 [ DOI: 10.1016/j.rse.2018.10.034 http://dx.doi.org/10.1016/j.rse.2018.10.034 ]

Chen S G , Du K P , Lee Z , Liu J Q , Song Q J , Xue C , Wang D S , Lin M S , Tang J W and Ma C F . 2021 . Performance of COCTS in global ocean color remote sensing . IEEE Transactions on Geoscience and Remote Sensing , 59 ( 2 ): 1634 - 1644 [ DOI: 10.1109/TGRS.2020.3002460 http://dx.doi.org/10.1109/TGRS.2020.3002460 ]

Fan W L ， Huang X X and Fu Y T . 2022 . Infrared information acquisition technology of Chinese ocean color and temperature scanner of HY-1 satellite . National Remote Sensing Bulletin ， 26 （ 8 ）： 1589 - 1601

范文龙，黄小仙，傅雨田 . 2022 . 海洋一号卫星水色水温扫描仪红外信息获取 . 遥感学报， 26 （ 8 ）： 1589 - 1601 [ DOI： 10.11834/jrs.20210071 http://dx.doi.org/10.11834/jrs.20210071 ]

Harding L W , Magnuson A and Mallonee M E . 2005 . SeaWiFS retrievals of chlorophyll in Chesapeake Bay and the mid-Atlantic bight . Estuarine, Coastal and Shelf Science , 62 ( 1/2 ): 75 - 94 [ DOI: 10.1016/j.ecss.2004.08.011 http://dx.doi.org/10.1016/j.ecss.2004.08.011 ]

Hernández W J , Ortiz-Rosa S , Armstrong R A , Geiger E F , Eakin C M and Warner R A . 2020 . Quantifying the effects of hurricanes Irma and Maria on coastal water quality in Puerto Rico using moderate resolution satellite sensors . Remote Sensing , 12 ( 6 ): 964 [ DOI: 10.3390/rs12060964 http://dx.doi.org/10.3390/rs12060964 ]

Hlaing S , Harmel T , Gilerson A , Foster R , Weidemann A , Arnone R , Wang M H and Ahmed S . 2013 . Evaluation of the VIIRS ocean color monitoring performance in coastal regions . Remote Sensing of Environment , 139 : 398 - 414 [ DOI: 10.1016/j.rse.2013.08.013 http://dx.doi.org/10.1016/j.rse.2013.08.013 ]

Kyryliuk D and Kratzer S . 2019 . Evaluation of Sentinel-3A OLCI products derived using the Case-2 regional coastcolour processor over the Baltic Sea . Sensors , 19 ( 16 ): 3609 [ DOI: 10.3390/s19163609 http://dx.doi.org/10.3390/s19163609 ]

Ladner S D , Arnone R , Vandermeulen R , Martinolich P , Lawson A , Bowers J , Crouti R , Ondrusek M and Fargion G . 2014 . Inter-satellite comparison and evaluation of Navy SNPP VIIRS and MODIS-Aqua ocean color properties // Proceedings Volume 9111, Ocean Sensing and Monitoring VI . Baltimore, Maryland : SPIE [ DOI: 10.1117/12.2053060 http://dx.doi.org/10.1117/12.2053060 ]

Li T J . 2012 . China offshore marine: marine optical properties and remote sensing . Beijing : China Ocean Press : 193 - 196

李铜基 . 2012 . 中国近海海洋: 海洋光学特性与遥感 . 北京 : 海洋出版社 : 193 - 196

Liu H Z , He X Q , Li Q Q , Hu X J , Ishizaka J , Kratzer S , Yang C , Shi T Z , Hu S B , Zhou Q M and Wu G F . 2022 . Evaluation of ocean color atmospheric correction methods for Sentinel-3 OLCI using global automatic in situ observations . IEEE Transactions on Geoscience and Remote Sensing , 60 : 1 - 19 [ DOI: 10.1109/TGRS.2021.3136243 http://dx.doi.org/10.1109/TGRS.2021.3136243 ]

Liu M , Guan L , Liu J , Song Q , Ma C , Li N . 2021 . First Assessment of HY-1C COCTS Thermal Infrared Calibration Using MetOp-B IASI . Remote Sensing . 13 ( 4 ): 635 . [ DOI: 10.3390/rs13040635 http://dx.doi.org/10.3390/rs13040635 ]

Shen Y F , Liu J Q , Ding J , Jiao J N , Sun S J and Lu Y C . 2020 . HY-1C COCTS and CZI observation of marine oil spills in the South China Sea . Journal of Remote Sensing ， 24 ( 8 ): 933 - 944

沈亚峰 , 刘建强 , 丁静 , 焦俊男 , 孙绍杰 , 陆应诚 . 2020 . 海洋一号C星光学载荷对海面溢油的识别能力分析 . 遥感学报 , 24 ( 8 ): 933 - 944 [ DOI： 10.11834/jrs.20209475 http://dx.doi.org/10.11834/jrs.20209475 ]

Song Q J , Chen S G , Xue C , Lin M S , Du K P , Li S C , Ma C F , Tang J W , Liu J Q , Zhang T L and Huang X X . 2019 . Vicarious calibration of COCTS-HY1C at visible and near-infrared bands for ocean color application . Optics Express , 27 ( 20 ): A1615 - A1626 [ DOI: 10.1364/OE.27.0A1615 http://dx.doi.org/10.1364/OE.27.0A1615 ]

Thuillier G , Hersé M , Labs D , Foujols T , Peetermans W , Gillotay D , Simon P C and Mandel H . 2003 . The solar spectral irradiance from 200 to 2400 nm as measured by the SOLSPEC spectrometer from the Atlas and Eureca Missions . Solar Physics , 214 ( 1 ): 1 - 22 [ DOI: 10.1023/A:1024048429145 http://dx.doi.org/10.1023/A:1024048429145 ]

Wang M H , Liu X M , Jiang L D , Son S , Sun J Q , Shi W , Tan L Q , Naik P , Mikelsons K , Wang X L and Lance V . 2014 . Evaluation of VIIRS ocean color products // Proceedings Volume 9261, Ocean Remote Sensing and Monitoring from Space . Beijing : SPIE [ DOI: 10.1117/12.2069251 http://dx.doi.org/10.1117/12.2069251 ]

Wang S L , Li J S , Zhang B , Spyrakos E , Tyler A N , Shen Q , Zhang F F , Kuster T , Lehmann M K , Wu Y H and Peng D L . 2018 . Trophic state assessment of global inland waters using a MODIS-derived Forel-Ule index . Remote Sensing of Environment , 217 : 444 - 460 [ DOI: 10.1016/j.rse.2018.08.026 http://dx.doi.org/10.1016/j.rse.2018.08.026 ]

Wei J W , Lee Z and Shang S L . 2016 . A system to measure the data quality of spectral remote-sensing reflectance of aquatic environments . Journal of Geophysical Research : Oceans , 121 ( 11 ): 8189 - 8207 [ DOI: 10.1002/2016JC012126 http://dx.doi.org/10.1002/2016JC012126 ]

Xu Y Zh , He X Q , Bai Y , Wang D F , Zhu Q K and Ding X S . 2021 . Evaluation of remote-sensing reflectance products from multiple ocean color missions in highly turbid water (hangzhou bay) . Remote Sensing , 13 ( 21 ): 4267 [ DOI : 10.3390/rs13214267 http://dx.doi.org/10.3390/rs13214267 ]

Zhong S K ， Lyu H ， Yang Z Q ， Li Y Y ， Xu J F and Miao S . 2022 . Remote sensing estimation method of organic suspended matter concentration in inland lakes based on Sentinel-3 OLCI data . National Remote Sensing Bulletin ， 26 （ 1 ）： 155 - 167

仲苏珂，吕恒，杨子谦，李杨杨，许佳峰，苗松 . 2022 . Sentinel-3 OLCI数据的内陆湖泊有机悬浮物浓度遥感估算 . 遥感学报， 26 （ 1 ）： 155 - 167 [ DOI： 10.11834/jrs.20221266 http://dx.doi.org/10.11834/jrs.20221266 ]

Zibordi G , Holben B , Mélin F , D'Alimonte D , Berthon J F , Slutsker I and Giles D . 2010 . AERONET-OC: an overview . Canadian Journal of Remote Sensing , 36 ( 5 ): 488 - 497 [ DOI: 10.5589/m10-073 http://dx.doi.org/10.5589/m10-073 ]

Zibordi G , Mélin F and Berthon J F . 2018 . A regional assessment of OLCI data products . IEEE Geoscience and Remote Sensing Letters , 15 ( 10 ): 1490 - 1494 [ DOI: 10.1109/LGRS.2018.2849329 http://dx.doi.org/10.1109/LGRS.2018.2849329 ]

Zibordi G , Mélin F , Berthon J F , Holben B , Slutsker I , Giles D , D'Alimonte D , Vandemark D , Feng H , Schuster G , Fabbri B E , Kaitala S and Seppälä J . 2009 . AERONET-OC: a network for the validation of ocean color primary products . Journal of Atmospheric and Oceanic Technology , 26 ( 8 ): 1634 - 1651 [ DOI: 10.1175/2009JTECHO654.1 http://dx.doi.org/10.1175/2009JTECHO654.1 ]

Zibordi G , Strömbeck N , Mélin F and Berthon J F . 2006 . Tower-based radiometric observations at a coastal site in the Baltic Proper . Estuarine, Coastal and Shelf Science , 69 ( 3/4 ): 649 - 654 [ DOI: 10.1016/j.ecss.2006.05.022 http://dx.doi.org/10.1016/j.ecss.2006.05.022 ]

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