Constructing intertidal topography for sandy beaches by combining Sentinel-2 imagery and water level data
Sandy beaches are the most wide distributed coastal type worldwide, serving as a crucial transitional zone between land and sea. However, accurately mapping the intertidal zone of sandy beaches poses challenges due to water-level fluctuations and limited in-situ measurements in sparsely populated ar...
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2025-01-01
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| Series: | Geo-spatial Information Science |
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| Online Access: | https://www.tandfonline.com/doi/10.1080/10095020.2024.2449453 |
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| author | Nan Xu Lin Wang Yue Ma Xin Ma Xiao Hua Wang |
| author_facet | Nan Xu Lin Wang Yue Ma Xin Ma Xiao Hua Wang |
| author_sort | Nan Xu |
| collection | DOAJ |
| description | Sandy beaches are the most wide distributed coastal type worldwide, serving as a crucial transitional zone between land and sea. However, accurately mapping the intertidal zone of sandy beaches poses challenges due to water-level fluctuations and limited in-situ measurements in sparsely populated areas. Leveraging free-access Sentinel-2 optical imagery and station-based water-level data in coastal zones, we explored the integration of Sentinel-2 satellite imagery and water-level data to derive the intertidal topography of sandy beaches. Our study conducted in Texas, USA, demonstrates the generation of a detailed Digital Elevation Model (DEM) with an accuracy of 0.42 m. This satellite-derived intertidal topography offers valuable insights for mapping coastal lowlands and estimating coastal slopes of sandy beaches. In the future, our method holds significant potential for global-scale applications in generating intertidal topography, coastal slopes, and lowland areas for sandy beaches. Furthermore, our method can enhance our understanding of these important coastal environments and support decision-making for conservation and management efforts. |
| format | Article |
| id | doaj-art-26cc39a9a8524dbcbfb0449a2bc3ed86 |
| institution | Kabale University |
| issn | 1009-5020 1993-5153 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Geo-spatial Information Science |
| spelling | doaj-art-26cc39a9a8524dbcbfb0449a2bc3ed862025-01-17T14:55:33ZengTaylor & Francis GroupGeo-spatial Information Science1009-50201993-51532025-01-0111510.1080/10095020.2024.2449453Constructing intertidal topography for sandy beaches by combining Sentinel-2 imagery and water level dataNan Xu0Lin Wang1Yue Ma2Xin Ma3Xiao Hua Wang4College of Geography and Remote Sensing, Hohai University, Nanjing, ChinaCollege of Geodesy and Geomatics, Shandong University of Science and Technology, Qingdao, ChinaSchool of Electronic Information, Wuhan University, Wuhan, ChinaState Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, ChinaSino-Australian Research Consortium for Coastal Management, School of Science, University of New South Wales, Canberra, NSW, AustraliaSandy beaches are the most wide distributed coastal type worldwide, serving as a crucial transitional zone between land and sea. However, accurately mapping the intertidal zone of sandy beaches poses challenges due to water-level fluctuations and limited in-situ measurements in sparsely populated areas. Leveraging free-access Sentinel-2 optical imagery and station-based water-level data in coastal zones, we explored the integration of Sentinel-2 satellite imagery and water-level data to derive the intertidal topography of sandy beaches. Our study conducted in Texas, USA, demonstrates the generation of a detailed Digital Elevation Model (DEM) with an accuracy of 0.42 m. This satellite-derived intertidal topography offers valuable insights for mapping coastal lowlands and estimating coastal slopes of sandy beaches. In the future, our method holds significant potential for global-scale applications in generating intertidal topography, coastal slopes, and lowland areas for sandy beaches. Furthermore, our method can enhance our understanding of these important coastal environments and support decision-making for conservation and management efforts.https://www.tandfonline.com/doi/10.1080/10095020.2024.2449453Intertidaltopographysandy beachslopeSentinel-2 |
| spellingShingle | Nan Xu Lin Wang Yue Ma Xin Ma Xiao Hua Wang Constructing intertidal topography for sandy beaches by combining Sentinel-2 imagery and water level data Geo-spatial Information Science Intertidal topography sandy beach slope Sentinel-2 |
| title | Constructing intertidal topography for sandy beaches by combining Sentinel-2 imagery and water level data |
| title_full | Constructing intertidal topography for sandy beaches by combining Sentinel-2 imagery and water level data |
| title_fullStr | Constructing intertidal topography for sandy beaches by combining Sentinel-2 imagery and water level data |
| title_full_unstemmed | Constructing intertidal topography for sandy beaches by combining Sentinel-2 imagery and water level data |
| title_short | Constructing intertidal topography for sandy beaches by combining Sentinel-2 imagery and water level data |
| title_sort | constructing intertidal topography for sandy beaches by combining sentinel 2 imagery and water level data |
| topic | Intertidal topography sandy beach slope Sentinel-2 |
| url | https://www.tandfonline.com/doi/10.1080/10095020.2024.2449453 |
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