Nighttime Remote Sensing Analysis of Lit Fishing Boats: Fisheries Management Challenges in the South China Sea (2013–2022)
The South China Sea (SCS) is a critical fishery region facing sustainability challenges due to overexploitation, geopolitical tensions, and inadequate monitoring. Traditional monitoring methods, such as AIS and VMS, have limitations due to data gaps and vessel deactivation. We developed an improved remote sensing algorithm using VIIRS nighttime light observations (2013–2022) to detect and classify lit fishing boats in the SCS. The study introduces a Two-Dimensional Constant False Alarm Rate (2D-CFAR) algorithm integrated with morphological analysis, which enhances boats’ detection accuracy. The classification of fishing boat types was based on light power thresholds derived from spatial entropy analysis, where distinct clustering patterns indicated three operational categories: small interfering lights (<1.2–3.7 kW), small-to-medium-sized lit fishing boats (1.2–3.7 to 28.6–43.2 kW), and large lit fishing boats (>28.6–43.2 kW). Our findings reveal a 4.4-fold dominance of small-to-medium-sized lit fishing boats over large lit fishing boats. China’s summer fishing moratorium effectively reduces large lit fishing boats activity by 85%, yet small-to-medium-sized lit fishing boats, primarily from neighboring countries like Vietnam, persist, exploiting this period illegally. Spatially, small-to-medium-sized lit fishing boats concentrate in the central SCS, southeast Vietnam, and Nansha Islands, while large lit fishing boats target upwelling zones near Hainan and Guangdong. Moreover, a new fishing hotspot emerged in eastern SCS, reflecting intensified resource and geopolitical competition. Light intensity analysis reveals rapid growth in contested areas (10% annually, p < 0.01), underscoring ecological risks. These findings highlight the limitations of unilateral policies and the urgent need for regional cooperation to curb illegal, unreported, and unregulated (IUU) fishing. Our algorithm offers a robust tool for monitoring fishing dynamics, providing quantitative insights into vessel distribution, policy impacts, and resource-driven patterns. This supports evidence-based fisheries management and biodiversity conservation in the SCS, adaptable to other marine regions facing similar challenges.
Authors
- Wendi Zheng (ORCID: https://orcid.org/0009-0008-7313-839X)
- Lei Zhang (ORCID: https://orcid.org/0000-0001-7569-2118)
- Shilin Tang (ORCID: https://orcid.org/0000-0002-0807-5491)
- Dongliang Wang (ORCID: https://orcid.org/0000-0001-7052-4182)
- Yupeng Liu (ORCID: https://orcid.org/0000-0001-8347-7338)
- Jing Yu (ORCID: https://orcid.org/0000-0003-0327-9601)
Institutions
- South China Sea Institute Of Oceanology (CN)
- University of Chinese Academy of Sciences (CN)
- Shanghai Ocean University (CN)
- Chinese Academy of Fishery Sciences (CN)
Publication Details
- Journal
- Remote Sensing
- Published
- 2025-08-27
- DOI
- https://doi.org/10.3390/rs17172967
- Citations
- 1
- Primary Topic
- Impact of Light on Environment and Health
- Type
- article
- Field-Weighted Citation Impact
- 1.11
Funders
- National Natural Science Foundation of China