气候变化领域集成服务门户(CCPortal): Sentinel-3 OLCI observations of water clarity in large lakes in eastern China: Implications for SDG 6.3.2 evaluation

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DOI	10.1016/j.rse.2020.111950
	Sentinel-3 OLCI observations of water clarity in large lakes in eastern China: Implications for SDG 6.3.2 evaluation
	Shen M.; Duan H.; Cao Z.; Xue K.; Qi T.; Ma J.; Liu D.; Song K.; Huang C.; Song X.
发表日期	2020
ISSN	00344257
卷号	247
英文摘要	The Sustainable Development Goal (SDG) 6.3.2 of the United Nations (UN) focuses on ambient water quality, while water clarity simplistically and visually reflect water quality and can potentially support SDG 6.3.2 reporting. In this study, based on extensive field data and Sentinel-3 Ocean and Land Color Instrument (OLCI) imagery, a random forest regression (RFR) Secchi depth (Zsd) model suitable for turbid and eutrophic waters was established. With this model, the Zsd of 86 large (> 30 km2) lakes in Eastern China was obtained from May 2016 to April 2018. Additionally, the potential for applying OLCI-derived Zsd data in the SDG 6.3.2 evaluation was assessed. Of six common atmospheric correction (AC) processors (i.e., BAC, C2RCC, POLYMER, BP, MUMM, and 6SV), 6SV often exhibited the best performance except for at 754 nm (root mean square error (RMSE) ≤ 0.0094 sr−1, mean absolute percentage error (MAPE) ≤ 36.27%, and mean normalized bias (MNB) ≤ 15.89%). The RFR model had higher accuracy (R2 = 0.70, RMSE = 0.13 m, MAPE = 33.43%, and MNB = 14.55%) and was more suitable for eutrophic and turbid inland lakes across Eastern China than the other available Zsd algorithms. The average OLCI-derived Zsd of the lakes in Eastern China was 0.44 ± 0.13 m, suggesting that these lakes are extremely turbid. The average Zsd of lakes in the Eastern Plain Lake (EPL) zone (0.45 ± 0.12 m) was higher than that of the lakes in the Northeastern Plain and Mountain Lake (NPML) zone (0.40 ± 0.17 m). The majority of lakes showed higher Zsd values in summer (rainy season) than in fall and winter (dry season). A simple SDG 6.3.2 evaluation scheme was developed based on the Zsd product, and only 54.65% of the lakes (N = 47) reached the “good” level during the monitoring period as a result of the eutrophication of the lakes in Eastern China. This study provides water clarity information for large lakes in Eastern China and facilitates the understanding of ambient water quality under the 2030 UN SDG framework as well as data and technical support for future SDG 6.3.2 evaluations. © 2020 Elsevier Inc.
英文关键词	Atmospheric correction; Random forest regression; Remote sensing; Secchi disk depth; Turbid waters
语种	英语
scopus关键词	Decision trees; Eutrophication; Landforms; Mean square error; Quality control; Water quality; Atmospheric corrections; Eutrophic water; Evaluation scheme; Mean absolute percentage error; Monitoring periods; Northeastern plains; Root mean square errors; Technical support; Lakes; accuracy assessment; algorithm; atmospheric correction; eutrophic environment; eutrophication; instrumentation; lake water; observational method; regression analysis; satellite imagery; Sentinel; Sustainable Development Goal; United Nations; water quality; China
来源期刊	Remote Sensing of Environment
来源机构	中国科学院西北生态环境资源研究院
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/179226
作者单位	Key Laboratory of Watershed Geographic Sciences, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, 73 East Beijing Road, Nanjing, 210008, China; College of Urban and Environmental Sciences, Northwest University, Xi'an, 710127, China; University of Chinese Academy of Sciences, Beijing, 100049, China; Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, 130102, China; Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, 730000, China
推荐引用方式 GB/T 7714	Shen M.,Duan H.,Cao Z.,et al. Sentinel-3 OLCI observations of water clarity in large lakes in eastern China: Implications for SDG 6.3.2 evaluation[J]. 中国科学院西北生态环境资源研究院,2020,247.
APA	Shen M..,Duan H..,Cao Z..,Xue K..,Qi T..,...&Song X..(2020).Sentinel-3 OLCI observations of water clarity in large lakes in eastern China: Implications for SDG 6.3.2 evaluation.Remote Sensing of Environment,247.
MLA	Shen M.,et al."Sentinel-3 OLCI observations of water clarity in large lakes in eastern China: Implications for SDG 6.3.2 evaluation".Remote Sensing of Environment 247(2020).