Underwater Topography Detection and Analysis of the Qilianyu Islands in the South China Sea Based on GF-3 SAR Images

Shallow sea underwater topography plays an important role in the development of islands and reefs. The Qilianyu Islands, located in Xisha, South China Sea, are a key area for the development and utilization of the South China Sea. Compared with traditional underwater topography detection methods, sy...

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Main Authors: Longyu Huang, Jungang Yang, Junmin Meng, Jie Zhang
Format: Article
Language:English
Published: MDPI AG 2020-12-01
Series:Remote Sensing
Subjects:
Online Access:https://www.mdpi.com/2072-4292/13/1/76
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author Longyu Huang
Jungang Yang
Junmin Meng
Jie Zhang
author_facet Longyu Huang
Jungang Yang
Junmin Meng
Jie Zhang
author_sort Longyu Huang
collection DOAJ
description Shallow sea underwater topography plays an important role in the development of islands and reefs. The Qilianyu Islands, located in Xisha, South China Sea, are a key area for the development and utilization of the South China Sea. Compared with traditional underwater topography detection methods, synthetic aperture radar (SAR) has the advantages of low cost, short time consumption, and the large-scale detection of shallow water topography. The GF-3 satellite is the first SAR satellite launched by China, and its ability to probe shallow sea topography has never been assessed. To detect the underwater topography of the Qilianyu Islands and test the application of GF-3 SAR data in shallow sea underwater topography detection, this paper implements the SAR shallow sea underwater topography detection model, the tidal information corresponding to the imaging time of the SAR image, and six GF-3 SAR images to detect the underwater topography of the Qilianyu island and reefs. The detection results have been analyzed from different imaging times, different water depths and different polarization modes, and the first four SAR images show promising detection results. The average absolute error (MAE) and average relative error (MRE) of the results are 1.5 m and 14.33%, respectively, which demonstrates that GF-3 SAR images have an impressive performance in underwater topography detection of South China Sea island reefs.
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spelling doaj.art-7db63f60ab844251bce425de112c17002023-11-21T02:47:01ZengMDPI AGRemote Sensing2072-42922020-12-011317610.3390/rs13010076Underwater Topography Detection and Analysis of the Qilianyu Islands in the South China Sea Based on GF-3 SAR ImagesLongyu Huang0Jungang Yang1Junmin Meng2Jie Zhang3Lab of Marine Physics and Remote Sensing, First Institute of Oceanography, Ministry of Natural Resources, Qingdao 266061, ChinaLab of Marine Physics and Remote Sensing, First Institute of Oceanography, Ministry of Natural Resources, Qingdao 266061, ChinaLab of Marine Physics and Remote Sensing, First Institute of Oceanography, Ministry of Natural Resources, Qingdao 266061, ChinaLab of Marine Physics and Remote Sensing, First Institute of Oceanography, Ministry of Natural Resources, Qingdao 266061, ChinaShallow sea underwater topography plays an important role in the development of islands and reefs. The Qilianyu Islands, located in Xisha, South China Sea, are a key area for the development and utilization of the South China Sea. Compared with traditional underwater topography detection methods, synthetic aperture radar (SAR) has the advantages of low cost, short time consumption, and the large-scale detection of shallow water topography. The GF-3 satellite is the first SAR satellite launched by China, and its ability to probe shallow sea topography has never been assessed. To detect the underwater topography of the Qilianyu Islands and test the application of GF-3 SAR data in shallow sea underwater topography detection, this paper implements the SAR shallow sea underwater topography detection model, the tidal information corresponding to the imaging time of the SAR image, and six GF-3 SAR images to detect the underwater topography of the Qilianyu island and reefs. The detection results have been analyzed from different imaging times, different water depths and different polarization modes, and the first four SAR images show promising detection results. The average absolute error (MAE) and average relative error (MRE) of the results are 1.5 m and 14.33%, respectively, which demonstrates that GF-3 SAR images have an impressive performance in underwater topography detection of South China Sea island reefs.https://www.mdpi.com/2072-4292/13/1/76GF-3shallow sea underwater topographysynthetic aperture radar (SAR)Qilianyu Islandswater depth
spellingShingle Longyu Huang
Jungang Yang
Junmin Meng
Jie Zhang
Underwater Topography Detection and Analysis of the Qilianyu Islands in the South China Sea Based on GF-3 SAR Images
Remote Sensing
GF-3
shallow sea underwater topography
synthetic aperture radar (SAR)
Qilianyu Islands
water depth
title Underwater Topography Detection and Analysis of the Qilianyu Islands in the South China Sea Based on GF-3 SAR Images
title_full Underwater Topography Detection and Analysis of the Qilianyu Islands in the South China Sea Based on GF-3 SAR Images
title_fullStr Underwater Topography Detection and Analysis of the Qilianyu Islands in the South China Sea Based on GF-3 SAR Images
title_full_unstemmed Underwater Topography Detection and Analysis of the Qilianyu Islands in the South China Sea Based on GF-3 SAR Images
title_short Underwater Topography Detection and Analysis of the Qilianyu Islands in the South China Sea Based on GF-3 SAR Images
title_sort underwater topography detection and analysis of the qilianyu islands in the south china sea based on gf 3 sar images
topic GF-3
shallow sea underwater topography
synthetic aperture radar (SAR)
Qilianyu Islands
water depth
url https://www.mdpi.com/2072-4292/13/1/76
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AT jungangyang underwatertopographydetectionandanalysisoftheqilianyuislandsinthesouthchinaseabasedongf3sarimages
AT junminmeng underwatertopographydetectionandanalysisoftheqilianyuislandsinthesouthchinaseabasedongf3sarimages
AT jiezhang underwatertopographydetectionandanalysisoftheqilianyuislandsinthesouthchinaseabasedongf3sarimages