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Verification of the accuracy of Sentinel-1 for DEM extraction error analysis under complex terrain conditions
International Journal of Applied Earth Observation and Geoinformation ( IF 7.6 ) Pub Date : 2024-09-11 , DOI: 10.1016/j.jag.2024.104157 Shuangcheng Zhang , Jie Wang , Zhijie Feng , Tao Wang , Jun Li , Ning Liu
International Journal of Applied Earth Observation and Geoinformation ( IF 7.6 ) Pub Date : 2024-09-11 , DOI: 10.1016/j.jag.2024.104157 Shuangcheng Zhang , Jie Wang , Zhijie Feng , Tao Wang , Jun Li , Ning Liu
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.
中文翻译:
复杂地形条件下Sentinel-1 DEM提取误差分析精度验证
2014年哨兵一号卫星的成功发射,为研究人员和学者带来了大量免费SAR图像,其在海洋监测、土地利用变化、自然灾害监测和应急响应等领域的应用日趋成熟和精准。 InSAR的主要应用可分为地表形变监测和DEM生成。 Sentinel-1最初是为地表变形监测而设计的;因此,利用Sentinel-1数据进行DEM提取的相关研究较少。然而,作为目前唯一一颗数据免费公开且数据不断更新的SAR卫星,研究其DEM生成过程中的误差来源及其产品精度非常重要。此外,哨兵一号卫星提供的SAR数据具有高分辨率、全天时、全天候的优势,为DEM制作提供了大数据源。以安康地区为例,分析了InSAR时空基线、地面覆盖、地形因素、SAR成像等因素对多源地面观测数据Sentinel-1提取DEM精度的影响,验证其可行性用于复杂地形的地形测绘。最后,我们期待如何有效提高Sentinel-1 DEM产品的质量,为后续Sentinel-1 SAR图像DEM提取和Sentinel-1 C卫星参数指定等研究提供指导和参考。
更新日期:2024-09-11
中文翻译:
复杂地形条件下Sentinel-1 DEM提取误差分析精度验证
2014年哨兵一号卫星的成功发射,为研究人员和学者带来了大量免费SAR图像,其在海洋监测、土地利用变化、自然灾害监测和应急响应等领域的应用日趋成熟和精准。 InSAR的主要应用可分为地表形变监测和DEM生成。 Sentinel-1最初是为地表变形监测而设计的;因此,利用Sentinel-1数据进行DEM提取的相关研究较少。然而,作为目前唯一一颗数据免费公开且数据不断更新的SAR卫星,研究其DEM生成过程中的误差来源及其产品精度非常重要。此外,哨兵一号卫星提供的SAR数据具有高分辨率、全天时、全天候的优势,为DEM制作提供了大数据源。以安康地区为例,分析了InSAR时空基线、地面覆盖、地形因素、SAR成像等因素对多源地面观测数据Sentinel-1提取DEM精度的影响,验证其可行性用于复杂地形的地形测绘。最后,我们期待如何有效提高Sentinel-1 DEM产品的质量,为后续Sentinel-1 SAR图像DEM提取和Sentinel-1 C卫星参数指定等研究提供指导和参考。