Inundation frequency correction method for mapping multi-temporal tidal flat topography integrating Sentinel-1 and ICESat-2 data
Remote sensing monitoring of tidal flat topographic changes is essential for analyzing the tidal flat evolution and coastal stability. However, the inter-annual inconsistency of inundation frequency limited the capacity of multi-temporal tidal flat topography monitoring. To address this limitation,...
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Taylor & Francis Group
2025-08-01
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| Series: | Geo-spatial Information Science |
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| Online Access: | https://www.tandfonline.com/doi/10.1080/10095020.2025.2539951 |
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| author | Zhaoyuan Zhang Huaguo Zhang Wenting Cao Dongling Li Xuecao Li Xinkai Wang Juan Wang |
| author_facet | Zhaoyuan Zhang Huaguo Zhang Wenting Cao Dongling Li Xuecao Li Xinkai Wang Juan Wang |
| author_sort | Zhaoyuan Zhang |
| collection | DOAJ |
| description | Remote sensing monitoring of tidal flat topographic changes is essential for analyzing the tidal flat evolution and coastal stability. However, the inter-annual inconsistency of inundation frequency limited the capacity of multi-temporal tidal flat topography monitoring. To address this limitation, this study proposed an inundation frequency correction method for mapping multi-temporal tidal flat topography and applied the method in Yueqing Bay, China, during 2017 ~ 2022. Specifically, we quantified the impact of tidal level distribution characteristics on inundation frequency. It was found that the discrepancies in tidal distribution characteristics of time-series satellite image collections from different periods led to the inter-annual inconsistency of inundation frequency. Thereafter, we corrected inundation frequency by aligning the tidal level distribution characteristics of time-series satellite image collections with the actual condition. Accuracy evaluation results showed that the method significantly improved the consistency of multi-temporal inundation frequency, increasing the determination coefficients (R2) of the inundation frequency for adjacent periods from 0.71 ~ 0.81 to 0.89 ~ 0.93. Thereafter, a uniform inundation frequency-elevation correlation model was established to map the multi-temporal tidal flat topography. After correction, the topography Root Mean Square Error (RMSE) validated by in-situ data in 2019 reduced from 0.47 m to 0.43 m, and the model’s multi-temporal mapping RMSE (validated by ICESat-2 data during 2021 ~ 2022) reduced from 0.66 m to 0.45 m. The proposed method effectively improved the topography multi-temporal mapping capability. On this basis, we accurately identified the tidal flat accretion and erosion process caused by human activities. The results suggested that our method could be extended to more regions to provide time-series topography data for analyzing tidal flat evolution. |
| format | Article |
| id | doaj-art-2403dab6dec4475f814849bdd2ec4fe1 |
| institution | Kabale University |
| issn | 1009-5020 1993-5153 |
| language | English |
| publishDate | 2025-08-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Geo-spatial Information Science |
| spelling | doaj-art-2403dab6dec4475f814849bdd2ec4fe12025-08-20T04:02:28ZengTaylor & Francis GroupGeo-spatial Information Science1009-50201993-51532025-08-0111810.1080/10095020.2025.2539951Inundation frequency correction method for mapping multi-temporal tidal flat topography integrating Sentinel-1 and ICESat-2 dataZhaoyuan Zhang0Huaguo Zhang1Wenting Cao2Dongling Li3Xuecao Li4Xinkai Wang5Juan Wang6The State Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography, Ministry of Nature Resources, Hangzhou, ChinaThe State Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography, Ministry of Nature Resources, Hangzhou, ChinaThe State Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography, Ministry of Nature Resources, Hangzhou, ChinaThe State Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography, Ministry of Nature Resources, Hangzhou, ChinaCollege of Land Science and Technology, China Agricultural University, Beijing, ChinaThe State Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography, Ministry of Nature Resources, Hangzhou, ChinaSchool of Oceanography, Shanghai Jiao Tong University, Shanghai, ChinaRemote sensing monitoring of tidal flat topographic changes is essential for analyzing the tidal flat evolution and coastal stability. However, the inter-annual inconsistency of inundation frequency limited the capacity of multi-temporal tidal flat topography monitoring. To address this limitation, this study proposed an inundation frequency correction method for mapping multi-temporal tidal flat topography and applied the method in Yueqing Bay, China, during 2017 ~ 2022. Specifically, we quantified the impact of tidal level distribution characteristics on inundation frequency. It was found that the discrepancies in tidal distribution characteristics of time-series satellite image collections from different periods led to the inter-annual inconsistency of inundation frequency. Thereafter, we corrected inundation frequency by aligning the tidal level distribution characteristics of time-series satellite image collections with the actual condition. Accuracy evaluation results showed that the method significantly improved the consistency of multi-temporal inundation frequency, increasing the determination coefficients (R2) of the inundation frequency for adjacent periods from 0.71 ~ 0.81 to 0.89 ~ 0.93. Thereafter, a uniform inundation frequency-elevation correlation model was established to map the multi-temporal tidal flat topography. After correction, the topography Root Mean Square Error (RMSE) validated by in-situ data in 2019 reduced from 0.47 m to 0.43 m, and the model’s multi-temporal mapping RMSE (validated by ICESat-2 data during 2021 ~ 2022) reduced from 0.66 m to 0.45 m. The proposed method effectively improved the topography multi-temporal mapping capability. On this basis, we accurately identified the tidal flat accretion and erosion process caused by human activities. The results suggested that our method could be extended to more regions to provide time-series topography data for analyzing tidal flat evolution.https://www.tandfonline.com/doi/10.1080/10095020.2025.2539951Multi-temporal tidal flat topographyinundation frequency correctiontidal flat evolutionSentinel-1 imagesIcesat-2 data |
| spellingShingle | Zhaoyuan Zhang Huaguo Zhang Wenting Cao Dongling Li Xuecao Li Xinkai Wang Juan Wang Inundation frequency correction method for mapping multi-temporal tidal flat topography integrating Sentinel-1 and ICESat-2 data Geo-spatial Information Science Multi-temporal tidal flat topography inundation frequency correction tidal flat evolution Sentinel-1 images Icesat-2 data |
| title | Inundation frequency correction method for mapping multi-temporal tidal flat topography integrating Sentinel-1 and ICESat-2 data |
| title_full | Inundation frequency correction method for mapping multi-temporal tidal flat topography integrating Sentinel-1 and ICESat-2 data |
| title_fullStr | Inundation frequency correction method for mapping multi-temporal tidal flat topography integrating Sentinel-1 and ICESat-2 data |
| title_full_unstemmed | Inundation frequency correction method for mapping multi-temporal tidal flat topography integrating Sentinel-1 and ICESat-2 data |
| title_short | Inundation frequency correction method for mapping multi-temporal tidal flat topography integrating Sentinel-1 and ICESat-2 data |
| title_sort | inundation frequency correction method for mapping multi temporal tidal flat topography integrating sentinel 1 and icesat 2 data |
| topic | Multi-temporal tidal flat topography inundation frequency correction tidal flat evolution Sentinel-1 images Icesat-2 data |
| url | https://www.tandfonline.com/doi/10.1080/10095020.2025.2539951 |
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