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Vol. 34, No. 8(3), S&M3042

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Vol. 32, No. 8(2), S&M2292

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Sensors and Materials
is an international peer-reviewed open access journal to provide a forum for researchers working in multidisciplinary fields of sensing technology.
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Sensors and Materials, Volume 36, Number 9(2) (2024)
Copyright(C) MYU K.K.
pp. 3713-3730
S&M3761 Research Paper of Special Issue
https://doi.org/10.18494/SAM4702
Published: September 5, 2024

Integration of Time-Series Interferometric Synthetic Aperture Radar Imagery and LiDAR Point Cloud for Monitoring and Analysis of Liquefied Natural Gas Storage Tank Exteriors [PDF]

Ming Guo, Yaxuan Wei, Zhaorui Chen, Youshan Zhao, Xingyu Tang, Kecai Guo, and Kun Tang

(Received December 15, 2023; Accepted March 8, 2024)

Keywords: PS-InSAR, SBAS-InSAR, LiDAR, point cloud, LNG

Evaluating the integrity of liquefied natural gas (LNG) storage tanks is essential for safety and environmental conservation. In this study, which centered on an LNG storage tank on a specific island, we utilized 37 interferometric wide (IW) swath mode VV polarization Sentinel-1 images from the European Space Agency (August 2020–December 2023). Deformation data were obtained using persistent scatterer synthetic aperture radar (SAR) interferometry (PS-InSAR) and small-baseline subset SAR interferometry (SBAS-InSAR) techniques, supplemented by dense point cloud data for 3D and 2D analyses. Results showed consistent deformation rates in the tank, with peaks between October 2021 and August 2022. Point cloud analysis revealed millimeter-level localized deformations (0.1 to 2.6 mm), corroborating InSAR findings. This underscores the importance of PS-InSAR, SBAS-InSAR, and point cloud modeling in monitoring LNG tank deformations, and offers insights into managing the impact of climate change on LNG storage stability.

Corresponding author: Youshan Zhao


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Cite this article
Ming Guo, Yaxuan Wei, Zhaorui Chen, Youshan Zhao, Xingyu Tang, Kecai Guo, and Kun Tang, Integration of Time-Series Interferometric Synthetic Aperture Radar Imagery and LiDAR Point Cloud for Monitoring and Analysis of Liquefied Natural Gas Storage Tank Exteriors, Sens. Mater., Vol. 36, No. 9, 2024, p. 3713-3730.



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