Reconstruction and Evaluation of DEMs From Bistatic Tandem-X SAR in Mountainous and Coastal Areas of China
TerraSAR-X add-on for Digital Elevation Measurements (TanDEM-X) mission is designed to generate 3-D images of the Earth as the first bistatic synthetic aperture radar (SAR). However, few quantitative studies of TanDEM-X digital elevation model (DEM) quality validation have been conducted specificall...
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| Format: | Article |
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IEEE
2021-01-01
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| Series: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9406332/ |
| _version_ | 1819068111202025472 |
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| author | Peng Li Zhenhong Li Keren Dai Yasir Al-Husseinawi Wanpeng Feng Houjie Wang |
| author_facet | Peng Li Zhenhong Li Keren Dai Yasir Al-Husseinawi Wanpeng Feng Houjie Wang |
| author_sort | Peng Li |
| collection | DOAJ |
| description | TerraSAR-X add-on for Digital Elevation Measurements (TanDEM-X) mission is designed to generate 3-D images of the Earth as the first bistatic synthetic aperture radar (SAR). However, few quantitative studies of TanDEM-X digital elevation model (DEM) quality validation have been conducted specifically in China. This article presents an iterative method to generate high-resolution TanDEM-X DEMs and assesses the vertical accuracy with high-accuracy GPS observations, 1 arc second global DEMs available [Advanced Land Observing Satellite World 3-D-30 m v2.2, Advanced Spaceborne Thermal Emission and Reflection Radiometer Global Digital Elevation Model (ASTER GDEM) v3, Shuttle Radar Topography Mission (SRTM) v3.1, NASADEM, and X-band SRTM], and TanDEM-X 90 m DEM. The results demonstrate remarkable elevation quality and consistency in coastal areas with root mean square error of 1.7 m and 90% linear error (LE90) of 0.4 m, whereas 3–4 times weaker accuracies in steep mountainous areas. A positive bias of 1–2 m for an overall LE90 measure exists in the dense vegetation and steep-slope mountainous areas. TanDEM-X DEM-based SAR interferometry deformation uncertainty simulation indicates a low or even negligible topographic error contribution of 2–4 mm in mountainous areas and less than 1 mm in coastal areas. It indicates that the TanDEM-X DEM performs better than other global DEMs overall and shows a better elevation consistence with SRTM C-band DEM in the coastal area. As an excellent source of up-to-date information, the TanDEM-X DEM are expected be an advantage for understanding dynamic land use changes and improving identification and delineation of coastal lands, mountainous landslides, and earthquakes disasters. |
| first_indexed | 2024-12-21T16:28:57Z |
| format | Article |
| id | doaj.art-baefdb3f121e4c0b889a2d6051bf3ba3 |
| institution | Directory Open Access Journal |
| issn | 2151-1535 |
| language | English |
| last_indexed | 2024-12-21T16:28:57Z |
| publishDate | 2021-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| spelling | doaj.art-baefdb3f121e4c0b889a2d6051bf3ba32022-12-21T18:57:24ZengIEEEIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing2151-15352021-01-01145152517010.1109/JSTARS.2021.30737829406332Reconstruction and Evaluation of DEMs From Bistatic Tandem-X SAR in Mountainous and Coastal Areas of ChinaPeng Li0https://orcid.org/0000-0002-0707-4999Zhenhong Li1https://orcid.org/0000-0002-8054-7449Keren Dai2https://orcid.org/0000-0001-8989-3113Yasir Al-Husseinawi3Wanpeng Feng4https://orcid.org/0000-0001-5813-1466Houjie Wang5https://orcid.org/0000-0001-6409-0592Institute of Estuarine and Coastal Zone, College of Marine Geosciences, Ministry of Education, Qingdao, ChinaInstitute of Estuarine and Coastal Zone, College of Marine Geosciences, Ocean University of China, Qingdao, ChinaCollege of Earth Sciences and the State Key Laboratory of Geohazard Prevention and Geoenvironment Protection, Chengdu University of Technology, Chengdu, ChinaMinistry of Water Resources, State Commission of Survey, Baghdad, IraqGuangdong Provincial Key Laboratory of Geodynamics and Geohazards, School of Earth Sciences and Engineering, Sun Yat-Sen University, Guangzhou, ChinaKey Laboratory of Submarine Geosciences and Prospecting Technology, Institute of Estuarine and Coastal Zone, College of Marine Geosciences, Ministry of Education, Ocean University of China, Qingdao, ChinaTerraSAR-X add-on for Digital Elevation Measurements (TanDEM-X) mission is designed to generate 3-D images of the Earth as the first bistatic synthetic aperture radar (SAR). However, few quantitative studies of TanDEM-X digital elevation model (DEM) quality validation have been conducted specifically in China. This article presents an iterative method to generate high-resolution TanDEM-X DEMs and assesses the vertical accuracy with high-accuracy GPS observations, 1 arc second global DEMs available [Advanced Land Observing Satellite World 3-D-30 m v2.2, Advanced Spaceborne Thermal Emission and Reflection Radiometer Global Digital Elevation Model (ASTER GDEM) v3, Shuttle Radar Topography Mission (SRTM) v3.1, NASADEM, and X-band SRTM], and TanDEM-X 90 m DEM. The results demonstrate remarkable elevation quality and consistency in coastal areas with root mean square error of 1.7 m and 90% linear error (LE90) of 0.4 m, whereas 3–4 times weaker accuracies in steep mountainous areas. A positive bias of 1–2 m for an overall LE90 measure exists in the dense vegetation and steep-slope mountainous areas. TanDEM-X DEM-based SAR interferometry deformation uncertainty simulation indicates a low or even negligible topographic error contribution of 2–4 mm in mountainous areas and less than 1 mm in coastal areas. It indicates that the TanDEM-X DEM performs better than other global DEMs overall and shows a better elevation consistence with SRTM C-band DEM in the coastal area. As an excellent source of up-to-date information, the TanDEM-X DEM are expected be an advantage for understanding dynamic land use changes and improving identification and delineation of coastal lands, mountainous landslides, and earthquakes disasters.https://ieeexplore.ieee.org/document/9406332/Coastal areadeformation monitoringdigital elevation model (DEM)GPS measurementsland covermountainous area |
| spellingShingle | Peng Li Zhenhong Li Keren Dai Yasir Al-Husseinawi Wanpeng Feng Houjie Wang Reconstruction and Evaluation of DEMs From Bistatic Tandem-X SAR in Mountainous and Coastal Areas of China IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing Coastal area deformation monitoring digital elevation model (DEM) GPS measurements land cover mountainous area |
| title | Reconstruction and Evaluation of DEMs From Bistatic Tandem-X SAR in Mountainous and Coastal Areas of China |
| title_full | Reconstruction and Evaluation of DEMs From Bistatic Tandem-X SAR in Mountainous and Coastal Areas of China |
| title_fullStr | Reconstruction and Evaluation of DEMs From Bistatic Tandem-X SAR in Mountainous and Coastal Areas of China |
| title_full_unstemmed | Reconstruction and Evaluation of DEMs From Bistatic Tandem-X SAR in Mountainous and Coastal Areas of China |
| title_short | Reconstruction and Evaluation of DEMs From Bistatic Tandem-X SAR in Mountainous and Coastal Areas of China |
| title_sort | reconstruction and evaluation of dems from bistatic tandem x sar in mountainous and coastal areas of china |
| topic | Coastal area deformation monitoring digital elevation model (DEM) GPS measurements land cover mountainous area |
| url | https://ieeexplore.ieee.org/document/9406332/ |
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