A Systematic Review of the Application of the Geostationary Ocean Color Imager to the Water Quality Monitoring of Inland and Coastal Waters

Author:

Shao Shidi12,Wang Yu3,Liu Ge1,Song Kaishan1

Affiliation:

1. Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, China

2. University of Chinese Academy of Sciences, Beijing 100049, China

3. Center for Satellite Application on Ecology and Environment, Ministry of Ecology and Environment of the People’s Republic of China, Beijing 100029, China

Abstract

In recent decades, eutrophication in inland and coastal waters (ICWs) has increased due to anthropogenic activities and global warming, thus requiring timely monitoring. Compared with traditional sampling and laboratory analysis methods, satellite remote sensing technology can provide macro-scale, low-cost, and near real-time water quality monitoring services. The Geostationary Ocean Color Imager (GOCI), aboard the Communication Ocean and Meteorological Satellite (COMS) from the Republic of Korea, marked a significant milestone as the world’s inaugural geostationary ocean color observation satellite. Its operational tenure spanned from 1 April 2011 to 31 March 2021. Over ten years, the GOCI has observed oceans, coastal waters, and inland waters within its 2500 km × 2500 km target area centered on the Korean Peninsula. The most attractive feature of the GOCI, compared with other commonly used water color sensors, was its high temporal resolution (1 h, eight times daily from 0 UTC to 7 UTC), providing an opportunity to monitor ICWs, where their water quality can undergo significant changes within a day. This study aims to comprehensively review GOCI features and applications in ICWs, analyzing progress in atmospheric correction algorithms and water quality monitoring. Analyzing 123 articles from the Web of Science and China National Knowledge Infrastructure (CNKI) through a bibliometric quantitative approach, we examined the GOCI’s strength and performance with different processing methods. These articles reveal that the GOCI played an essential role in monitoring the ecological health of ICWs in its observation coverage (2500 km × 2500 km) in East Asia. The GOCI has led the way to a new era of geostationary ocean satellites, providing new technical means for monitoring water quality in oceans, coastal zones, and inland lakes. We also discuss the challenges encountered by Geostationary Ocean Color Sensors in monitoring water quality and provide suggestions for future Geostationary Ocean Color Sensors to better monitor the ICWs.

Funder

the National Key Research and Development Program of China

the National Natural Science Foundation of China

the Open Fund of State Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University

the Youth Innovation Promotion Association of Chinese Academy of Sciences, China

Publisher

MDPI AG

Reference264 articles.

1. Watercolors in the coastal zone: What can we see?;Schofield;Oceanography,2004

2. Shi, J., Shen, Q., Yao, Y., Zhang, F., Li, J., and Wang, L. (2023). Field Radiometric Calibration of a Micro-Spectrometer Based on Remote Sensing of Plateau Inland Water Colors. Appl. Sci., 13.

3. Analysis of variations in ocean color 1;Morel;Limnol. Oceanogr.,1977

4. Gordon, H.R., and Morel, A.Y. (2012). Remote Assessment of Ocean Color for Interpretation of Satellite Visible Imagery: A Review, Springer.

5. Reports of the International Ocean-Colour Coordinating Group;Sathyendranath;IOCCG Proj. Off. Dartm. Nova Scotia IOCCG Rep.,2000

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3