EventsOHOW 2023 – The 2nd International Symposium on One Health, One World
Published
This submission belongs to the session CCGR. Climate change and green recovery of the event OHOW 2023 – The 2nd International Symposium on One Health, One World
Published date
01 Dec, 2023
Academic Editor
author-avatarWataru Takeuchi
Citation
Xuan Truong Trinh, Wataru Takeuchi, Sentinel-1-based SAR Approach to Identifying Offshore Aquaculture Facilities in Vietnam, in Proceedings of OHOW 2023 – The 2nd International Symposium on One Health, One World, Dhaka University, Dhaka, 6 December–8 December 2023, MDPI: Basel, Switzerland
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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, Japan
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
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