Verification of the accuracy of Sentinel-1 for DEM extraction error analysis under complex terrain conditions

• High quality ICESat-2 control points were extracted from Ankang area. • The terrain mapping capability of Sentinel-1 in complex mountainous areas was verified. • The error sources of Sentinel-1 terrain mapping are analyzed comprehensively. • Several recommendations for terrain mapping with Sentinel-1 are provided. The successful launch of the Sentinel-1 satellite in 2014 brought a large amount of free SAR images to researchers and scholars, and its application in the fields of ocean monitoring, land use change, natural disaster monitoring and emergency response is becoming increasingly mature and precise. The main applications of InSAR can be categorized into surface deformation monitoring and DEM generation. Sentinel-1 was initially designed for surface deformation monitoring; thus, there are fewer relevant studies on the use of Sentinel-1 data for DEM extraction. However, as the only SAR satellite whose data are currently free and openly available and whose data are constantly updated, it is highly important to study its sources of error in the DEM generation process and the accuracy of its products. In addition, the SAR data provided by the Sentinel-1 satellite has the advantages of high resolution, all-day, all-weather, providing a large data source for DEM production. Taking the Ankang area as an example, this paper analyzes the influence of the InSAR spatiotemporal baseline, ground cover, terrain factors, SAR imaging and other factors on the accuracy of the Sentinel-1-extracted DEM using multisource ground observation data to validate its feasibility for terrain mapping in complex terrain. Finally, we look forward to how to effectively improve the quality of Sentinel-1 DEM products to provide guidance and a reference for subsequent research on DEM extraction using Sentinel-1 SAR images and designation of Sentinel-1 C satellite’s parameters.

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Publication Details

Journal
International Journal of Applied Earth Observation and Geoinformation
Published
2024-09-01
DOI
https://doi.org/10.1016/j.jag.2024.104157
Citations
4
Primary Topic
Synthetic Aperture Radar (SAR) Applications and Techniques
Type
article
Field-Weighted Citation Impact
5.20
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article

Verification of the accuracy of Sentinel-1 for DEM extraction error analysis under complex terrain conditions

Shuangcheng Zhang, Zhijie Feng, Jun Li, Ning Liu et al.
4 citations
International Journal of Applied Earth Observation and Geoinformation
Synthetic Aperture Radar (SAR) Applications and Techniques
5.20
article

Verification of the accuracy of Sentinel-1 for DEM extraction error analysis under complex terrain conditions

Shuangcheng Zhang, Zhijie Feng, Jun Li, Ning Liu, Tao Wang, Jie Wang
article en
4 citations

Abstract

• High quality ICESat-2 control points were extracted from Ankang area. • The terrain mapping capability of Sentinel-1 in complex mountainous areas was verified. • The error sources of Sentinel-1 terrain mapping are analyzed comprehensively. • Several recommendations for terrain mapping with Sentinel-1 are provided. The successful launch of the Sentinel-1 satellite in 2014 brought a large amount of free SAR images to researchers and scholars, and its application in the fields of ocean monitoring, land use change, natural disaster monitoring and emergency response is becoming increasingly mature and precise. The main applications of InSAR can be categorized into surface deformation monitoring and DEM generation. Sentinel-1 was initially designed for surface deformation monitoring; thus, there are fewer relevant studies on the use of Sentinel-1 data for DEM extraction. However, as the only SAR satellite whose data are currently free and openly available and whose data are constantly updated, it is highly important to study its sources of error in the DEM generation process and the accuracy of its products. In addition, the SAR data provided by the Sentinel-1 satellite has the advantages of high resolution, all-day, all-weather, providing a large data source for DEM production. Taking the Ankang area as an example, this paper analyzes the influence of the InSAR spatiotemporal baseline, ground cover, terrain factors, SAR imaging and other factors on the accuracy of the Sentinel-1-extracted DEM using multisource ground observation data to validate its feasibility for terrain mapping in complex terrain. Finally, we look forward to how to effectively improve the quality of Sentinel-1 DEM products to provide guidance and a reference for subsequent research on DEM extraction using Sentinel-1 SAR images and designation of Sentinel-1 C satellite’s parameters.

International Journal of Applied Earth Observation and GeoinformationVol. 133
Ministry of Natural Resources (CN), Chang'an University (CN), China Geological Survey (CN), Institute of Geographic Sciences and Natural Resources Research (CN)
Climate action
Openalex Percentile: Top 5%
Synthetic Aperture Radar (SAR) Applications and Techniques
5.20
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