Shallow Sea Topography Detection from Multi-Source SAR Satellites: A Case Study of Dazhou Island in China
Accurate measurement of underwater topography in the coastal zone is essential for human marine activities, and the synthetic aperture radar (SAR) presents a completely new solution. However, underwater topography detection using a single SAR image is vulnerable to the interference of sea state and...
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| Format: | Article |
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MDPI AG
2022-10-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/14/20/5184 |
| _version_ | 1827648125750214656 |
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| author | Longyu Huang Junmin Meng Chenqing Fan Jie Zhang Jingsong Yang |
| author_facet | Longyu Huang Junmin Meng Chenqing Fan Jie Zhang Jingsong Yang |
| author_sort | Longyu Huang |
| collection | DOAJ |
| description | Accurate measurement of underwater topography in the coastal zone is essential for human marine activities, and the synthetic aperture radar (SAR) presents a completely new solution. However, underwater topography detection using a single SAR image is vulnerable to the interference of sea state and sensor noise, which reduces the detection accuracy. A new underwater topography detection method based on multi-source SAR (MSSTD) was proposed in this study to improve the detection precision. GF-3, Sentinel-1, ALOS PALSAR, and ENVISAT ASAR data were used to verify the sea area of Dazhou Island. The detection result was in good agreement with the chart data (MAE of 2.9 m and correlation coefficient of 0.93), and the detection accuracy was improved over that of a single SAR image. GF-3 image with 3 m spatial resolution performed best in bathymetry among the four SAR images. Additionally, the resolution of the SAR image had greater influence on bathymetry compared with polarization and radar band. The ability of MSSTD has been proved in our work. Collaborative multi-source satellite observation is a feasible and effective scheme in marine research, but its application potential in underwater topography detection still requires further exploration. |
| first_indexed | 2024-03-09T19:32:01Z |
| format | Article |
| id | doaj.art-bac6af41cb0f432dbc6ce52cd5fc574f |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-09T19:32:01Z |
| publishDate | 2022-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-bac6af41cb0f432dbc6ce52cd5fc574f2023-11-24T02:20:49ZengMDPI AGRemote Sensing2072-42922022-10-011420518410.3390/rs14205184Shallow Sea Topography Detection from Multi-Source SAR Satellites: A Case Study of Dazhou Island in ChinaLongyu Huang0Junmin Meng1Chenqing Fan2Jie Zhang3Jingsong Yang4Ocean College, Zhejiang University, Zhoushan 316021, ChinaLaboratory of Marine Physics and Remote Sensing, First Institute of Oceanography, Ministry of Natural Resources, Qingdao 266061, ChinaLaboratory of Marine Physics and Remote Sensing, First Institute of Oceanography, Ministry of Natural Resources, Qingdao 266061, ChinaLaboratory of Marine Physics and Remote Sensing, First Institute of Oceanography, Ministry of Natural Resources, Qingdao 266061, ChinaOcean College, Zhejiang University, Zhoushan 316021, ChinaAccurate measurement of underwater topography in the coastal zone is essential for human marine activities, and the synthetic aperture radar (SAR) presents a completely new solution. However, underwater topography detection using a single SAR image is vulnerable to the interference of sea state and sensor noise, which reduces the detection accuracy. A new underwater topography detection method based on multi-source SAR (MSSTD) was proposed in this study to improve the detection precision. GF-3, Sentinel-1, ALOS PALSAR, and ENVISAT ASAR data were used to verify the sea area of Dazhou Island. The detection result was in good agreement with the chart data (MAE of 2.9 m and correlation coefficient of 0.93), and the detection accuracy was improved over that of a single SAR image. GF-3 image with 3 m spatial resolution performed best in bathymetry among the four SAR images. Additionally, the resolution of the SAR image had greater influence on bathymetry compared with polarization and radar band. The ability of MSSTD has been proved in our work. Collaborative multi-source satellite observation is a feasible and effective scheme in marine research, but its application potential in underwater topography detection still requires further exploration.https://www.mdpi.com/2072-4292/14/20/5184shallow sea topographymulti-source SARthe linear dispersion relationsatellite bathymetry |
| spellingShingle | Longyu Huang Junmin Meng Chenqing Fan Jie Zhang Jingsong Yang Shallow Sea Topography Detection from Multi-Source SAR Satellites: A Case Study of Dazhou Island in China Remote Sensing shallow sea topography multi-source SAR the linear dispersion relation satellite bathymetry |
| title | Shallow Sea Topography Detection from Multi-Source SAR Satellites: A Case Study of Dazhou Island in China |
| title_full | Shallow Sea Topography Detection from Multi-Source SAR Satellites: A Case Study of Dazhou Island in China |
| title_fullStr | Shallow Sea Topography Detection from Multi-Source SAR Satellites: A Case Study of Dazhou Island in China |
| title_full_unstemmed | Shallow Sea Topography Detection from Multi-Source SAR Satellites: A Case Study of Dazhou Island in China |
| title_short | Shallow Sea Topography Detection from Multi-Source SAR Satellites: A Case Study of Dazhou Island in China |
| title_sort | shallow sea topography detection from multi source sar satellites a case study of dazhou island in china |
| topic | shallow sea topography multi-source SAR the linear dispersion relation satellite bathymetry |
| url | https://www.mdpi.com/2072-4292/14/20/5184 |
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