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Monitoring of Coastal Aquaculture Sites in the Philippines through Automated Time Series Analysis of Sentinel-1 SAR Images

1
Plymouth Marine Laboratory, Prospect Place, The Hoe, Plymouth PL1 3DH, UK
2
College of Fisheries and Aquatic Sciences, Western Philippines University-Puerto Princesa Campus, Puerto Princesa City 5300, Palawan, Philippines
*
Author to whom correspondence should be addressed.
Academic Editor: Pedro Melo-Pinto
Remote Sens. 2022, 14(12), 2862; https://doi.org/10.3390/rs14122862
Received: 22 March 2022 / Revised: 6 June 2022 / Accepted: 7 June 2022 / Published: 15 June 2022
With the unprecedented expansion of aquaculture around the world, there is a critical need to monitor its progress. In Palawan, Philippines, coastal aquaculture is gaining momentum towards increasing fish production, a pressure that presents a challenge to the sustainability of these areas. In this paper, we explore the application of Earth observation methods to map coastal aquaculture development in Palawan and evaluate the extent of its change. The European Space Agency Sentinel-1 synthetic aperture radar and Sentinel-2 multispectral instrument sensor data were applied in fully automatic mode to build maps of Palawan coastal aquaculture. The maps were validated using Google Earth high-resolution optical images and in situ observations in Malampaya Sound, and demonstrated a successful detection rate of 72%, while the false alarm rate was less than 7.5%. Objects only 5 m across, four times smaller than the spatial resolution of the Sentinel-1 sensors, were successfully detected using the developed methodology, thus exceeding the capabilities of other published methods that are limited to detecting large groups of aquaculture structures. The maps revealed aquaculture structures in high quantities in Malampaya Sound, Taytay Bay, and other locations in the coastal waters of Palawan, Philippines. A significant change of aquaculture spatial distribution was identified by comparing aquaculture maps generated with an interval of three years. This new automated methodology was validated as robust for mapping aquaculture objects in Palawan, Philippines, and can be applied to aquaculture studies in other regions worldwide. View Full-Text
Keywords: offshore aquaculture; coastal aquaculture; fish cage; aquaculture structure; aquaculture mapping; Palawan; Earth observation; synthetic aperture radar; multispectral; object detection; static objects; land mask; box filter offshore aquaculture; coastal aquaculture; fish cage; aquaculture structure; aquaculture mapping; Palawan; Earth observation; synthetic aperture radar; multispectral; object detection; static objects; land mask; box filter
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MDPI and ACS Style

Kurekin, A.A.; Miller, P.I.; Avillanosa, A.L.; Sumeldan, J.D.C. Monitoring of Coastal Aquaculture Sites in the Philippines through Automated Time Series Analysis of Sentinel-1 SAR Images. Remote Sens. 2022, 14, 2862. https://doi.org/10.3390/rs14122862

AMA Style

Kurekin AA, Miller PI, Avillanosa AL, Sumeldan JDC. Monitoring of Coastal Aquaculture Sites in the Philippines through Automated Time Series Analysis of Sentinel-1 SAR Images. Remote Sensing. 2022; 14(12):2862. https://doi.org/10.3390/rs14122862

Chicago/Turabian Style

Kurekin, Andrey A., Peter I. Miller, Arlene L. Avillanosa, and Joel D.C. Sumeldan. 2022. "Monitoring of Coastal Aquaculture Sites in the Philippines through Automated Time Series Analysis of Sentinel-1 SAR Images" Remote Sensing 14, no. 12: 2862. https://doi.org/10.3390/rs14122862

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