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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
Yongze  LiYongze LiXia  ChaiXia ChaiFengcheng  GuoFengcheng GuoXiong  SunXiong SunZhaohui  ChengZhaohui ChengDongyang  FuDongyang Fu*Dazhao  LiuDazhao Liu*
  • Guangdong Ocean University, Zhanjiang, China

The final, formatted version of the article will be published soon.

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

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