ORIGINAL RESEARCH article
Front. Mar. Sci.
Sec. Ocean Observation
Volume 12 - 2025 | doi: 10.3389/fmars.2025.1610901
This article is part of the Research TopicRemote Sensing Applications in Marine Ecology Monitoring and Target SensingView all 13 articles
Spatiotemporal Characteristics of the Apparent Optical Spectrum in the Coastal Waters of Leizhou Peninsula and Their Comparative Analysis
Provisionally accepted- Guangdong Ocean University, Zhanjiang, China
Select one of your emails
You have multiple emails registered with Frontiers:
Notify me on publication
Please enter your email address:
If you already have an account, please login
You don't have a Frontiers account ? You can register here
The coastal waters of the Leizhou Peninsula, as an important ecological transition zone in the northern South China Sea, face water quality issues that urgently require effective monitoring methods. Based on data from 188 stations across four seasons from 2020-2024, this study innovatively proposes a quantile statistical classification method based on mean and standard deviation, and compares results with typical bays at similar latitudes globally. The research classifies regional water spectral types into four categories: Type I (17.22%) with high reflection narrow peaks at 570nm; Type II (35.10%) featuring broad peaks at 540-560nm; Type III (27.81%) showing gentle distribution across 500-570nm; and Type IV (19.87%) with decreasing reflectance as wavelength increases, peaking around 500nm. Results indicate this region is dominated by mixed turbid waters (Types II and III accounting for 62.91%), providing scientific basis for water quality monitoring, aquaculture planning, algal bloom identification, and marine functional zoning, thus promoting regional marine ecological protection and sustainable resource utilization.
Keywords: Leizhou Peninsula, remote sensing reflectance, spectral characteristics, water body spectral types, spatiotemporal analysis
Received: 13 Apr 2025; Accepted: 24 Jul 2025.
Copyright: © 2025 Li, Chai, Guo, Sun, Cheng, Fu and Liu. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Dongyang Fu, Guangdong Ocean University, Zhanjiang, China
Dazhao Liu, Guangdong Ocean University, Zhanjiang, China
Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.