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RSS FeedsRemote Sensing, Vol. 15, Pages 2911: Automated VIIRS Boat Detection Based on Machine Learning and Its Application to Monitoring Fisheries in the East China Sea (Remote Sensing)

 
 

2 june 2023 15:10:36

 
Remote Sensing, Vol. 15, Pages 2911: Automated VIIRS Boat Detection Based on Machine Learning and Its Application to Monitoring Fisheries in the East China Sea (Remote Sensing)
 


Remote sensing is essential for monitoring fisheries. Optical sensors such as the day–night band (DNB) of the Visible Infrared Imaging Radiometer Suite (VIIRS) have been a crucial tool for detecting vessels fishing at night. It remains challenging to ensure stable detections under various conditions affected by the clouds and the moon. Here, we develop a machine learning based algorithm to generate automatic and consistent vessel detection. As DNB data are large and highly imbalanced, we design a two-step approach to train our model. We evaluate its performance using independent vessel position data acquired from on-ship radar. We find that our algorithm demonstrates comparable performance to the existing VIIRS boat detection algorithms, suggesting its possible application to greater temporal and spatial scales. By applying our algorithm to the East China Sea as a case study, we reveal a recent increase in fishing activity by vessels using bright lights. Our VIIRS boat detection results aim to provide objective information for better stock assessment and management of fisheries.


 
65 viewsCategory: Geology, Physics
 
Remote Sensing, Vol. 15, Pages 2908: Examining the Consistency of Sea Surface Temperature and Sea Ice Concentration in Arctic Satellite Products (Remote Sensing)
Remote Sensing, Vol. 15, Pages 2910: The CNES CLS 2022 Mean Sea Surface: Short Wavelength Improvements from CryoSat-2 and SARAL/AltiKa High-Sampled Altimeter Data (Remote Sensing)
 
 
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