Home Journals Articles Updates About
CN
image
收藏切换
Remote sensing monitoring of suspended sediment concentration based on GF-4 satellite in the Hangzhou Bay
收藏切换
PDF
Yujie Shao1, 6, Yuekai Hu2, Bin Zhou1, 6, Fang Chen3, Xianqiang He4, Guojun Wang5, Xiaohong Yuan1, 6, Yali Zhou1, 6, Zhifeng Yu1, 5, 6, *
Haiyang Xuebao | 2020, 42(9) : 134 - 142
Less
收藏切换
Haiyang Xuebao | 2020, 42(9): 134-142
• Marine Information Science •
Remote sensing monitoring of suspended sediment concentration based on GF-4 satellite in the Hangzhou Bay
Full
Yujie Shao1, 6, Yuekai Hu2, Bin Zhou1, 6, Fang Chen3, Xianqiang He4, Guojun Wang5, Xiaohong Yuan1, 6, Yali Zhou1, 6, Zhifeng Yu1, 5, 6, *
Affiliations
  • 1 Institute of Remote Sensing and Earth Sciences, Hangzhou Normal University, Hangzhou 311121, China
  • 2 State Key Laboratory of Estuarine and Coastal Research, East China Normal University, Shanghai 200241, China
  • 3 State Key Laboratory of Surveying, Mapping and Remote Sensing Information Engineering, Wuhan University, Wuhan 430079, China
  • 4 Fisheries Big Data Center of South China Sea, Zhanjiang 524006, China
  • 5 Laboratory of Target Microwave Properties, Deqing Academy of Satellite Applications, Deqing 313200, China
  • 6 Zhejiang Provincial Key Laboratory of Urban Wetlands and Regional Change, Hangzhou 311121, China
Published: 2020-09-25 doi: 10.3969/j.issn.0253-4193.2020.09.014
Outline
收藏切换

As an important water quality parameter, the distribution and dynamic change of suspended sediment have a profound impact on the ecology, environment and material circulation of the estuary and the near shore. GF-4 satellite has the ability to observe at any time, can quickly provide a large number of observation data, and has the application potential in water color remote sensing. In order to explore the monitoring effect of GF-4 satellite on suspended sediment in water, takes the Hangzhou Bay as the research area in this paper, constructs suspended sediment concentration inversion model, and uses GOCI satellite to cross verify. The results show that the index model established by using the ratio of remote sensing reflectance of the 5th and 4th band of GF-4 as the remote sensing factor has a high inversion accuracy, with a determination coefficient of 0.92, a root mean square error of 273.6 mg/L and an mean relative error of 17.2%. The cross-validation results show that GF-4 satellite data, as a new remote sensing data source, is similar to the distribution of GOCI satellite inversion suspended sediment concentration in the low concentration region, but the difference increases with the increase of concentration in the high concentration region. The research shows that GF-4 satellite is suitable for high precision inversion in the waters with low suspended sediment concentration and can be applied in most marine areas of China.

suspended sediment  /  Hangzhou Bay  /  GF-4 satellite  /  GOCI satellite  /  index model
Yujie Shao, Yuekai Hu, Bin Zhou, Fang Chen, Xianqiang He, Guojun Wang, Xiaohong Yuan, Yali Zhou, Zhifeng Yu. Remote sensing monitoring of suspended sediment concentration based on GF-4 satellite in the Hangzhou Bay[J]. Haiyang Xuebao, 2020 , 42 (9) : 134 -142 . DOI: 10.3969/j.issn.0253-4193.2020.09.014
Appendix
Less
Year 2020 volume 42 Issue 9
PDF
162
82
Cite this Article
BibTeX
Article Info
doi: 10.3969/j.issn.0253-4193.2020.09.014
  • Receive Date：2019-06-22
  • Online Date：2026-03-27
  • Published：2020-09-25
Article Data
Affiliations
History
  • Received：2019-06-22
  • Revised：2020-04-14
Funding
Affiliations
    1 Institute of Remote Sensing and Earth Sciences, Hangzhou Normal University, Hangzhou 311121, China
    2 State Key Laboratory of Estuarine and Coastal Research, East China Normal University, Shanghai 200241, China
    3 State Key Laboratory of Surveying, Mapping and Remote Sensing Information Engineering, Wuhan University, Wuhan 430079, China
    4 Fisheries Big Data Center of South China Sea, Zhanjiang 524006, China
    5 Laboratory of Target Microwave Properties, Deqing Academy of Satellite Applications, Deqing 313200, China
    6 Zhejiang Provincial Key Laboratory of Urban Wetlands and Regional Change, Hangzhou 311121, China
References
Share
https://castjournals.cast.org.cn/joweb/hyxb/EN/10.3969/j.issn.0253-4193.2020.09.014
Share to
QR

Scan QR to access full text

Cite this article
BibTeX
Citations
表12种不同金属材料的力学参数
科
Family		 属数
Number of
genus		 种数
Number of
species		 占总种数比例
Percentage of
total species (%)		 属
Genus		 种数
Number of
species		 占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
关闭全屏
  • BibTeX
  • EndNote
  • RefWorks
  • TxT
Links
Articles
Latest Articles
Most Read
Collections
Updates
Events
News
Multimedia
About
About Us
Contact
No. 86 Xueyuan South Road, Haidian District, Beijing
100081
010-62199257
qkjq@cast.org.cn

Copyright © 2025 China Association for Science and Technology. All rights reserved. For all open access content, the relevant licensing terms apply.
Sponsored by the Office of the Leading Group for Cybersecurity and Informatization of CAST, and supported by Science and Technology Review Publishing House