基于HY-1C卫星CZI影像的多类型内陆水体大气校正及水质参数反演
Multitype inland water atmospheric correction and water quality estimation based on HY-1C CZI images
- 2023年27卷第1期 页码：79-91
纸质出版日期： 2023-01-07
DOI： 10.11834/jrs.20235010
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摘要
海洋一号C星（HY-1C）上搭载的海岸带成像仪（CZI）在内陆水体水色遥感应用方面具有较大潜力。目前，HY-1C CZI影像在内陆水体的大气校正和水质反演研究较少，仍然需要解决适用于不同类型内陆水体的大气校正和水质参数建模等问题。因此，本研究在华北平原的小浪底水库、官厅水库、丹江口水库、白龟山水库、白洋淀5个不同浑浊程度的湖泊和水库开展了星地同步实验，获取了85个采样点的水面遥感反射率光谱和水质参数实测数据。发展了基于Sentinel-2 MSI影像均匀不变地物的HY-1C CZI影像相对大气校正算法和系统定标模型。HY-1C CZI的蓝、绿、红、近红外波段遥感反射率反演平均无偏相对误差（AURE）分别为14.7%、11.2%、28.9%、41.7%，蓝、绿、红波段的大气校正精度相对较高；此外，大气校正与实测光谱的相关系数
r
的平均值为0.978，光谱角度距离（SAD）的平均值为0.109，说明大气校正遥感反射率光谱形状与实测光谱一致性较高。基于实测数据构建了叶绿素a浓度和透明度反演模型，经独立数据验证，HY-1C CZI影像叶绿素a浓度反演的AURE为33.8%，均方根误差（RMSE）为4.8 μg/L；透明度反演的AURE为25.0%，RMSE为34.9 cm。结果表明，HY-1C CZI影像可以应用于华北平原多个类型内陆水体的水质参数反演。
Abstract
The Coastal Zone Imager (CZI) on HY-1C has great potential in the application of water color remote sensing for inland water. At present
few studies exist on the atmospheric correction and water quality estimation of HY-1C CZI images in inland water
and problems
such as the lack of atmospheric correction and water quality estimation models applicable to different types of inland water
still need to be solved. Therefore
in this study
a synchronization experiment was carried out on five lakes and reservoirs with different turbidity degrees in the North China Plain: Xiaolangdi Reservoir
Guanting Reservoir
Danjiangkou Reservoir
Baikushan Reservoir
and Baiyangdian Lake. The surface remote sensing reflectance spectra and typical water quality parameters of 85 sampling points were obtained. The relative atmospheric correction algorithm for HY-1C CZI images based on Sentinel-2 MSI images and system calibration model were developed. The average unbiased relative errors (AUREs) of remote sensing reflectance estimation in blue
green
red
and near-infrared bands of HY-1C CZI are 14.7%
11.2%
28.9%
and 41.7%
respectively. The atmospheric correction accuracy of blue
green
and red bands is relatively high. In addition
the mean value of correlation coefficient between atmospheric correction and measured spectra is 0.978
and the mean value of spectral angle distance is 0.109
indicating that the shape of the reflectance spectra of atmospheric correction is consistent with that of the measured spectra. The estimation models of chlorophyll-a concentration and Secchi disk depth were established on the basis of the measured data. The AURE of chlorophyll-a concentration estimation from HY-1C CZI images is 33.8%
and the root-mean-square error (RMSE) is 4.8 μg/L. The AURE and RMSE of Secchi disk depth estimation are 25.0% and 34.9 cm
respectively. The results show that HY-1C CZI images can be applied to the water quality estimation of multiple inland water bodies in the North China Plain.This method solved the problem of water atmospheric correction when HY-1C lacks short wave infrared band by borrowing Sentinel-2 MSI data. And realized the bottleneck of high-precision water remote sensing reflectance calculation of 4-band multispectral images
and improves the quantitative processing and the application level of water color remote sensing of HY-1C data.
关键词
HY-1C CZI内陆水体大气校正叶绿素透明度
Keywords
HY-1C CZIinland wateratmospheric correctionChlorophyll-asecchi disk depth
references
Cai L N, Zhou M R, Liu J Q, Tang D L and Zuo J C. 2020. HY-1C observations of the impacts of islands on suspended sediment distribution in Zhoushan Coastal Waters, China. Remote Sensing, 12(11): 1766 [DOI: 10.3390/rs12111766http://dx.doi.org/10.3390/rs12111766]
Cai T. 2020. The launch of “Haiyang” - 1D satellite will successfully create China’s first maritime civil satellite constellation. Aerospace China, (6): 23
蔡婷. 2020. “海洋”一号D卫星发射圆满成功 打造中国首个海洋民用卫星星座. 中国航天, (6): 23
Canty M J, Nielsen A A and Schmidt M. 2004. Automatic radiometric normalization of multitemporal satellite imagery. Remote Sensing of Environment, 91(3/4): 441-451 [DOI: 10.1016/j.rse.2003.10.024http://dx.doi.org/10.1016/j.rse.2003.10.024]
Cao Z G, Ma R H, Liu J Q and Ding J. 2021. Improved radiometric and spatial capabilities of the coastal zone imager onboard Chinese HY-1C satellite for inland lakes. IEEE Geoscience and Remote Sensing Letters, 18(2): 193-197 [DOI: 10.1109/LGRS.2020.2971629http://dx.doi.org/10.1109/LGRS.2020.2971629]
Chen X Y, Zhang J, Tong C, Liu R J, Mu B and Ding J. 2019. Retrieval algorithm of chlorophyll-a concentration in turbid waters from satellite HY-1C coastal zone imager data. Journal of Coastal Research, 90(sp1): 146-155 [DOI: 10.2112/SI90-018.1http://dx.doi.org/10.2112/SI90-018.1]
Du Y, Teillet P M and Cihlar J. 2002. Radiometric normalization of multitemporal high-resolution satellite images with quality control for land cover change detection. Remote Sensing of Environment, 82(1): 123-134
Duan H T, Zhang Y Z, Zhang B, Song K S and Wang Z M. 2007. Assessment of chlorophyll-a concentration and trophic state for Lake Chagan using Landsat TM and field spectral data. Environmental Monitoring and ASsessment, 129(1): 295-308 [DOI: 10.1007/s10661-006-9362-yhttp://dx.doi.org/10.1007/s10661-006-9362-y]
Guo L F, Gao X H, Kang J and Meng X Q. 2009. Application of the pseudo-invariant feature in normalization process of the remote sensing images. Remote Sensing Technology and Application, 24(5): 588-595
郭丽峰, 高小红, 亢健, 孟小前. 2009. 伪不变特征法在遥感影像归一化处理中的应用. 遥感技术与应用, 24(5): 588-595
Liang C, Liu L, Liu J Q, Zou B, Zou Y R and Cui S X. 2020. Extracting mangrove information using MNF transformation based on HY-1C CZI spectral indices reconstruction data. Haiyang Xuebao, 42(4): 104-112
梁超, 刘利, 刘建强, 邹斌, 邹亚荣, 崔松雪. 2020. 基于HY-1C CZI影像光谱指数重构数据MNF变换的红树林提取. 海洋学报, 42(4): 104-112
Liu J Q, Ye X M, Zeng T, Ma X F, Liu J P. 2021a. HY-1D satellite captured the volcanic eruption in Antarctica. Haiyang Xuebao, 43(2): 139-140
刘建强, 叶小敏, 曾韬, 马小峰, 刘金普. 2021a. 海洋一号D卫星捕捉到南极火山喷发. 海洋学报, 43(2): 139-140 [DOI: 10.12284/hyxb2021064http://dx.doi.org/10.12284/hyxb2021064]
Liu J Q, Zeng T, Liang C, Zou Y R, Ye X M, Ding J, Zou B, Shi L J and Guo M H. 2020. Application of HY-1C satellite in natural disaster monitoring. Satellite Application, (6): 26-34
刘建强, 曾韬, 梁超, 邹亚荣, 叶小敏, 丁静, 邹斌, 石立坚, 郭茂华. 2020. 海洋号C卫星在自然灾害监测中的应用. 卫星应用, (6): 26-34
Liu J Q, Zeng T, Ye X M, Liu J P and Ma X F. 2021b. HY-1C/D satellite monitoring of ice crack change and fracture process in the Brent Ice Shelf, Antarctica. Haiyang Xuebao, 43(7): 205-206
刘建强, 曾韬, 叶小敏, 刘金普, 马小峰. 2021b. HY-1C/D卫星对南极布伦特冰架冰裂缝变化与断裂过程的监测. 海洋学报, 43(7): 205-206 [DOI: 10.12284/hyxb2021155http://dx.doi.org/10.12284/hyxb2021155]
Miao S S. 2018. The CZ-2C carrier rocket successfully launched the HY-1C satellite. Aerospace China, (9): 26
苗珊珊. 2018. “长征”二号C运载火箭成功发射“海洋”一号C卫星. 中国航天, (9): 26
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 (Chinese), 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.20209475http://dx.doi.org/10.11834/jrs.20209475]
Tebbs E J, Remedios J J and Harper D M. 2013. Remote sensing of chlorophyll-a as a measure of cyanobacterial biomass in Lake Bogoria, a hypertrophic, saline–alkaline, flamingo lake, using Landsat ETM+. Remote Sensing of Environment, 135: 92-106 [DOI: 10.1016/j.rse.2013.03.024http://dx.doi.org/10.1016/j.rse.2013.03.024]
Tong C, Mu B, Liu R J, Ding J, Zhang M W, Xiao Y F, Liang X J and Chen X Y. 2019. Atmospheric correction algorithm for HY-1C CZI over turbid waters. Journal of Coastal Research, 90(sp1): 156-163 [DOI: 10.2112/SI90-019.1http://dx.doi.org/10.2112/SI90-019.1]
Wang L M, Liu J, Gao J M, Yao B M, Yang F G and Zou J Q. 2019. Winter wheat early identification based on HY-1C/CZI data. Chinese Agricultural Science Bulletin, 35(33): 151-157
王利民, 刘佳, 高建孟, 姚保民, 杨福刚, 邹金秋. 2019. 基于HY-1C/CZI数据的冬小麦早期识别研究. 中国农学通报, 35(33): 151-157 [DOI: 10.11924/j.issn.1000-6850.casb20190600232http://dx.doi.org/10.11924/j.issn.1000-6850.casb20190600232]
Yuan D and Elvidge C D. 1996. Comparison of relative radiometric normalization techniques. ISPRS Journal of Photogrammetry and Remote Sensing, 51(3): 117-126 [DOI: 10.1016/0924-2716(96)00018-4http://dx.doi.org/10.1016/0924-2716(96)00018-4]
Zhang F F, Li J S, Yan B K, Yu J C, Wang C, Wang S L, Shen Q, Wu Y H and Zhang B. 2021. Tracking historical chlorophyll-a change in the guanting reservoir, Northern China, based on landsat series inter-sensor normalization. International Journal of Remote Sensing, 42(10): 3918-3937 [DOI: 10.1080/01431161.2021.1875149http://dx.doi.org/10.1080/01431161.2021.1875149]
Zhang K L, Zhang Y C and Ma Y. 2019. Design of on orbit cross calibration method for HY-1 C/D satellite. Spacecraft Engineering, 28(2): 24-29
张可立, 张永超, 马越. 2019. 海洋一号C/D卫星在轨交叉定标设计. 航天器工程, 28(2): 24-29 [DOI: 10.3969/j.issn.1673-8748.2019.02.004http://dx.doi.org/10.3969/j.issn.1673-8748.2019.02.004]
Zhou Q, Liu J Q, Wang J R, Deng S Q and Tian L Q. 2020. Water turbidity monitoring of Zhiyin and Huangjia Lakes in Wuhan for COVID-19 epidemic using HY-1C CZI data. Geomatics and Information Science of Wuhan University, 45(5): 676-681
周屈, 刘建强, 王剑茹, 邓实权, 田礼乔. 2020. 利用HY-1C卫星CZI数据在COVID-19疫情期间武汉知音湖和黄家湖的浊度监测研究. 武汉大学学报(信息科学版), 45(5): 676-681 [DOI: 10.13203/j.whugis20200101http://dx.doi.org/10.13203/j.whugis20200101]
Zou Y R, Liang C, Zhang S L and Zou J H. 2019. Application of Hy-1c satellite coastal zone imager in island reef monitoring//IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium. Yokohama, Japan: IEEE: 8189-8192 [DOI: 10.1109/IGARSS.2019.8898832http://dx.doi.org/10.1109/IGARSS.2019.8898832]
Zou Y R, Liu J Q, Liang C and Zhu H T. 2020. Monitoring of mangrove growth using HY-1C Satellite CZI data based on remote sensing. Journal of Marine Sciences, 38(1): 68-76
邹亚荣, 刘建强, 梁超, 朱海天. 2020. 基于HY-1C卫星CZI数据的红树林长势遥感监测. 海洋学研究, 38(1): 68-76 [DOI: 10.3969/j.issn.1001-909X.2020.01.008http://dx.doi.org/10.3969/j.issn.1001-909X.2020.01.008]
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中国科学院大学 电子电气与通信工程学院
中国科学院空天信息创新研究院 数字地球重点实验室
自然资源部国土卫星遥感应用中心
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