Automated extraction of active offshore oil/gas platforms based on high-spatial resolution SDGSAT-1/GLI data: a case study in the Northern Gulf of Mexico

Zhongzhong Chen; Lin Yan; Yujia Qiu; Yueji Liang; Xiao-Ming Li

doi:10.1117/12.3024159

21 February 2024 Automated extraction of active offshore oil/gas platforms based on high-spatial resolution SDGSAT-1/GLI data: a case study in the Northern Gulf of Mexico

Zhongzhong Chen, Lin Yan, Yujia Qiu, Yueji Liang, Xiao-Ming Li

Author Affiliations +

Proceedings Volume 12988, Second International Conference on Environmental Remote Sensing and Geographic Information Technology (ERSGIT 2023); 129880I (2024) https://doi.org/10.1117/12.3024159
Event: Second International Conference on Environmental Remote Sensing and Geographic Information Technology (ERSGIT 2023), 2023, Xi’an, China

Abstract

The acquisition of spatial distribution information on active offshore oil/gas platforms (AOOP) is of importance for effective ocean management and the comprehensive study on marine carbon emissions. In recent years, the methodological framework for AOOP extraction using low-light remote sensing imagery has emerged as a novel and promising approach. Consequently, in this study, we utilized high-resolution low-light images obtained from the Glimmer Imager (GLI) payload aboard the Sustainable Development Goals Science Satellite 1 (SDGSAT-1) to facilitate the automatic extraction of AOOP. We applied a time-series low-light remote sensing (TLLRS) method for automatic extraction of AOOP in the northern Gulf of Mexico for the year 2022. The results indicate that the TLLRS method achieves a remarkable precision rate of 95.31% in the automatic extraction of AOOP, with an overall accuracy of 84.92%. Our findings demonstrate the feasibility and efficacy of applying SDGSAT-1 GLI data to monitor AOOP at large-scale.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Zhongzhong Chen, Lin Yan, Yujia Qiu, Yueji Liang, and Xiao-Ming Li "Automated extraction of active offshore oil/gas platforms based on high-spatial resolution SDGSAT-1/GLI data: a case study in the Northern Gulf of Mexico", Proc. SPIE 12988, Second International Conference on Environmental Remote Sensing and Geographic Information Technology (ERSGIT 2023), 129880I (21 February 2024); https://doi.org/10.1117/12.3024159

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