An Automatic Stationary Water Color Parameters Observation System for Shallow Waters: Designment and Applications
文献类型：期刊论文
| 作者 | Li, Wenkai; Tian, Liqiao; Guo, Shanshan; Li, Jian; Sun, Zhaohua; Zhang, Li |
| 刊名 | SENSORS
 |
| 出版日期 | 2019 |
| 卷号 | 19期号:20页码:4360 |
| 关键词 | Water-leaving reflectance above-water method automatic sun-tracking platform water color parameters wireless transmission |
| DOI | 10.3390/s19204360 |
| 英文摘要 | Measurements of the above-water spectrum and concerned water color parameters (WCPs) are crucial for research and applications in water environment remote sensing. Due to the lack of system integration and automatization, conventional methods are labor-intensive, time-consuming, and prone to subjective influences. To obtain a highly accurate and long-term consistent spectrum and concurrent WCPs (Chl-a (chlorophyll-a), turbidity, and CDOM (Colored Dissolved Organic Matter)) data with a relatively low cost, an Automatic Stationary Water Color Parameters Observation System (AFWCPOS) was developed. Controlled by an automatic platform, the spectral and WCPs data were collected by TriOS RAMSES hyperspectral spectroradiometers and WETLabs ECO (Environmental Characterization Optics) fluorometers following the measurement protocol. Experiment and initial validations of AFWCPOS were carried out in Poyang Lake, the largest freshwater lake in China, from 20 to 28 July 2013. Results proved that the spectral data from AFWCPOS were highly consistent with the commonly used portable SVC (Spectra Vista Corporation) HR-1024 field spectroradiometer, with the coefficient of determination (R-2) of 0.96, unbiased percent difference (UPD) of 0.14, and mean relative difference (MRD) of 0.078. With advantages of continuous and high degrees of automation monitoring, the AFWCPOS has great potential in capture diurnal and inter-diurnal variations in the test site of Poyang Lake, as well as another high-dynamic shallow coastal and inland waters, which will benefit routine water quality monitoring with high quality and high-frequency time-series observations. In addition, a successful case based on Landsat 8 OLI (Operational Land Imager) image and in-situ data collected by AFWCPOS showed it's potential in remote sensing applications. The spatial distribution of Chl-a, turbidity, and CDOM were mapped, which were explainable and similar to previous researches. These results showed our system was able to obtain reliable and valuable data for water environment monitoring. |
| 资助机构 | National Key R&D Program of China [2018YFB0504900, 2018YFB0504904]; National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [41571344, 41701379, 41331174, 41071261, 40906092, 40971193, 41101415, 41401388, 41206169]; China Postdoctoral Science FoundationChina Postdoctoral Science Foundation; program of Key Laboratory for National Geographic Census and Monitoring, National Administration of Surveying, Mapping and Geoinformation [2014NGCM]; Natural Science Foundation of Jiangxi, ChinaNatural Science Foundation of Jiangxi Province [20161BAB213074]; Wuhan University Luojia Talented Young Scholar project, Dragon 4 [32442]; LIESMARS Special Research Funding; High Resolution Earth Observation Systems of National Science and Technology Major Projects [41-Y20A31-9003-15/17]; "985 Project" of Wuhan University; State Key Laboratory for equipment ; National Key R&D Program of China [2018YFB0504900, 2018YFB0504904]; National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [41571344, 41701379, 41331174, 41071261, 40906092, 40971193, 41101415, 41401388, 41206169]; China Postdoctoral Science FoundationChina Postdoctoral Science Foundation; program of Key Laboratory for National Geographic Census and Monitoring, National Administration of Surveying, Mapping and Geoinformation [2014NGCM]; Natural Science Foundation of Jiangxi, ChinaNatural Science Foundation of Jiangxi Province [20161BAB213074]; Wuhan University Luojia Talented Young Scholar project, Dragon 4 [32442]; LIESMARS Special Research Funding; High Resolution Earth Observation Systems of National Science and Technology Major Projects [41-Y20A31-9003-15/17]; "985 Project" of Wuhan University; State Key Laboratory for equipment |
| 源URL | [http://ir.scsio.ac.cn/handle/344004/18263]  |
| 专题 | 南海海洋研究所_中科院边缘海地质重点实验室 |
| 推荐引用方式 GB/T 7714 | Li, Wenkai,Tian, Liqiao,Guo, Shanshan,et al. An Automatic Stationary Water Color Parameters Observation System for Shallow Waters: Designment and Applications[J]. SENSORS,2019,19(20):4360. |
| APA | Li, Wenkai,Tian, Liqiao,Guo, Shanshan,Li, Jian,Sun, Zhaohua,&Zhang, Li.(2019).An Automatic Stationary Water Color Parameters Observation System for Shallow Waters: Designment and Applications.SENSORS,19(20),4360. |
| MLA | Li, Wenkai,et al."An Automatic Stationary Water Color Parameters Observation System for Shallow Waters: Designment and Applications".SENSORS 19.20(2019):4360. |
入库方式： OAI收割
来源：南海海洋研究所
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