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Sentinel-1-based SAR Approach to Identifying Offshore Aquaculture Facilities in Vietnam
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1  Institute of Industrial Sciences, The University of Tokyo
Academic Editor: Wataru Takeuchi

Abstract:

Aquaculture plays a crucial role in global food supply, but its environmental implications, especially in marine settings, remain a concern. While terrestrial aquaculture monitoring is robust, offshore facilities have not received similar scrutiny. Our study leverages the C-band wavelength of Sentinel-1 to detect and map offshore aquaculture facilities in Vietnam, a country where the ubiquitous presence of aquaculture activities pose an environmental risk. Using the current Sentinel-1 dataset, we were able to characterise unique backscattering patterns from fish cages and aquaculture boats. To distinguish aquaculture facilities from other structures in the sea, we conducted an object-based image analysis to highlight the distribution pattern of aquaculture facilities as opposed to other objects such as oil rigs or bridges. Next, we manually created a training dataset for a supervised classification, revealing a notable presence of these facilities in calm, bay-sheltered seas. Our findings underscore the need for enhanced marine aquaculture regulation and set the stage for exploring its environmental ramifications, particularly concerning water quality and pollution.

Keywords: aquaculture; SAR; marine object detection; environmental impact; supervised classification
Comments on this paper
Linksa Marioe
Using an object-based image analysis, we were able to differentiate the distribution pattern of aquaculture facilities from those of other maritime constructions
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