Beach erosion monitoring based on interferometric synthetic aperture radar

Chen Du; Yong Li

doi:10.1117/12.3009126

16 October 2023 Beach erosion monitoring based on interferometric synthetic aperture radar

Chen Du, Yong Li

Proceedings Volume 12803, Fifth International Conference on Artificial Intelligence and Computer Science (AICS 2023); 128031K (2023) https://doi.org/10.1117/12.3009126
Event: 2023 5th International Conference on Artificial Intelligence and Computer Science (AICS 2023), 2023, Wuhan, China

Abstract

Beach erosion monitoring is crucial for coastal protection and beach maintenance. Field survey is hard to collect longterm beach change information due to high cost and time consuming. And it is difficult to observe three-dimensional deformation information on beaches by the optical remote sensing that is likely to be influenced by bad weather and few feature points on beach. Therefore, this paper employs the time series radar images of Sentinel-1A satellite to monitor the morphological changes of the survey area of Qingshan Bay beach in Quanzhou City, Fujian Province, China. The Differential Interferometric Synthetic Aperture Radar (DInSAR) technology is utilized to obtain the deformation information of the research area. The time-phased cumulative deformation analysis is conducted for different beach locations. Moreover, the high spatial resolution drone images and beach soil moisture data are employed to analyze the results of erosion monitoring. The current research results indicate that: (1) The results obtained by DInSAR technology can achieve the observation accuracy of centimeter level in the beach area; (2) The quality of monitoring results based on the DInSAR technology is related to beach humidity.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Chen Du and Yong Li "Beach erosion monitoring based on interferometric synthetic aperture radar", Proc. SPIE 12803, Fifth International Conference on Artificial Intelligence and Computer Science (AICS 2023), 128031K (16 October 2023); https://doi.org/10.1117/12.3009126

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