A Method to Derive Tidal Flat Topography in Nantong, China Using MODIS Data and Tidal Levels
Multispectral remote sensing data have proven to be useful in deriving tidal flat topography. However, limited satellite observations over a certain period have large uncertainties. In this study, we used MODIS time-series data with a high observational frequency to generate accurate tidal flat topo...
| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2021-01-01
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| Series: | Canadian Journal of Remote Sensing |
| Online Access: | http://dx.doi.org/10.1080/07038992.2021.1879632 |
| _version_ | 1827794846913396736 |
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| author | Huiming Zhang Luojia Hu Dong Zhang Yong Zhou Yue Ma Xiao Hua Wang Yuqing Wang Min Xu Nan Xu |
| author_facet | Huiming Zhang Luojia Hu Dong Zhang Yong Zhou Yue Ma Xiao Hua Wang Yuqing Wang Min Xu Nan Xu |
| author_sort | Huiming Zhang |
| collection | DOAJ |
| description | Multispectral remote sensing data have proven to be useful in deriving tidal flat topography. However, limited satellite observations over a certain period have large uncertainties. In this study, we used MODIS time-series data with a high observational frequency to generate accurate tidal flat topography in Nantong, China based on the relationship between the T_Tide-derived tidal levels and the MODIS-derived inundation frequency map. First, 8-day MOD09Q1 data from 2007 to 2008 were used to perform the land-water classification. Second, 92 land-water maps were stacked to generate the inundation frequency map of the tidal flat. Then, the T_Tide package was applied to calculate the tidal levels at Lvsi Tide Gauge Station. Finally, the inundation frequency map and the tidal levels were integrated to derive the tidal flat topography, which agreed well with the in-situ elevation data (RMSE = 0.40 m, r = 0.89) and the Landsat-based elevation data (RMSE = 0.18 m, r = 0.98). In addition, the derived slopes agreed well with the slopes from the in-situ elevation data (RMSE = 1.00‰, r = 0.85). We highlighted the necessity of using all MODIS data for deriving an accurate tidal flat topography. Our proposed method has a potential to derive tidal flat topography and temporal changes over the past 20 years from MODIS data. |
| first_indexed | 2024-03-11T18:40:31Z |
| format | Article |
| id | doaj.art-4c6f5b290c3c47c8b80ebad4ea87fc7d |
| institution | Directory Open Access Journal |
| issn | 1712-7971 |
| language | English |
| last_indexed | 2024-03-11T18:40:31Z |
| publishDate | 2021-01-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Canadian Journal of Remote Sensing |
| spelling | doaj.art-4c6f5b290c3c47c8b80ebad4ea87fc7d2023-10-12T13:36:23ZengTaylor & Francis GroupCanadian Journal of Remote Sensing1712-79712021-01-01471173210.1080/07038992.2021.18796321879632A Method to Derive Tidal Flat Topography in Nantong, China Using MODIS Data and Tidal LevelsHuiming Zhang0Luojia Hu1Dong Zhang2Yong Zhou3Yue Ma4Xiao Hua Wang5Yuqing Wang6Min Xu7Nan Xu8College of Marine Science and Engineering, Nanjing Normal UniversityQian Xuesen Laboratory of Space Technology, China Academy of Space TechnologyCollege of Marine Science and Engineering, Nanjing Normal UniversityCollege of Marine Science and Engineering, Nanjing Normal UniversitySchool of Electronic Information, Wuhan UniversitySchool of Science, University of New South WalesCollege of Marine Science and Engineering, Nanjing Normal UniversityCollege of Marine Science and Engineering, Nanjing Normal UniversityCollege of Marine Science and Engineering, Nanjing Normal UniversityMultispectral remote sensing data have proven to be useful in deriving tidal flat topography. However, limited satellite observations over a certain period have large uncertainties. In this study, we used MODIS time-series data with a high observational frequency to generate accurate tidal flat topography in Nantong, China based on the relationship between the T_Tide-derived tidal levels and the MODIS-derived inundation frequency map. First, 8-day MOD09Q1 data from 2007 to 2008 were used to perform the land-water classification. Second, 92 land-water maps were stacked to generate the inundation frequency map of the tidal flat. Then, the T_Tide package was applied to calculate the tidal levels at Lvsi Tide Gauge Station. Finally, the inundation frequency map and the tidal levels were integrated to derive the tidal flat topography, which agreed well with the in-situ elevation data (RMSE = 0.40 m, r = 0.89) and the Landsat-based elevation data (RMSE = 0.18 m, r = 0.98). In addition, the derived slopes agreed well with the slopes from the in-situ elevation data (RMSE = 1.00‰, r = 0.85). We highlighted the necessity of using all MODIS data for deriving an accurate tidal flat topography. Our proposed method has a potential to derive tidal flat topography and temporal changes over the past 20 years from MODIS data.http://dx.doi.org/10.1080/07038992.2021.1879632 |
| spellingShingle | Huiming Zhang Luojia Hu Dong Zhang Yong Zhou Yue Ma Xiao Hua Wang Yuqing Wang Min Xu Nan Xu A Method to Derive Tidal Flat Topography in Nantong, China Using MODIS Data and Tidal Levels Canadian Journal of Remote Sensing |
| title | A Method to Derive Tidal Flat Topography in Nantong, China Using MODIS Data and Tidal Levels |
| title_full | A Method to Derive Tidal Flat Topography in Nantong, China Using MODIS Data and Tidal Levels |
| title_fullStr | A Method to Derive Tidal Flat Topography in Nantong, China Using MODIS Data and Tidal Levels |
| title_full_unstemmed | A Method to Derive Tidal Flat Topography in Nantong, China Using MODIS Data and Tidal Levels |
| title_short | A Method to Derive Tidal Flat Topography in Nantong, China Using MODIS Data and Tidal Levels |
| title_sort | method to derive tidal flat topography in nantong china using modis data and tidal levels |
| url | http://dx.doi.org/10.1080/07038992.2021.1879632 |
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