Frequently updating DEMs based on multi-track repeat-pass InSAR observations using robust variance component estimation
• A new algorithm was proposed for frequently updating DEMs from multi-track repeat-pass InSAR data. • Robust variance component estimation was used to reduce the effect of InSAR errors on DEM update. • The accuracy and frequency of repeat-pass InSAR-based DEM update can be significantly improved. Space-borne interferometric synthetic aperture radar (InSAR) is a useful technique to generate or update digital elevation models (DEMs) over large regions. Specifical InSAR missions for DEM generation/update currently work in bistatic mode. The bistatic InSAR satellites have a low temporal coverage, causing the difficulty to keep DEM products up to date. InSAR satellites working in a repeat-pass mode can offer numerous data sources with a short temporal coverage, offering a great potential to frequently update DEMs to keep DEM valid with time. However, the accuracy of repeat-pass InSAR DEMs using the existing algorithms is too low for practical uses currently. To circumvent this, we proposed a new method to frequently update DEMs from repeat-pass InSAR datasets, in order to improve update accuracy. Firstly, multi-track repeat-pass InSAR datasets were utilized to offer more redundant observations to mitigate InSAR noises. A new quantitative model was then developed to scientifically guide the exclusion of multi-track interferograms with very short spatial baselines, in order to further reduce the propagation of InSAR errors into DEM products. Thirdly, a robust variance component estimation (RVCE) algorithm, which can adaptively weight multi-track InSAR observations and automatically exclude outliers, was used to dynamically update the DEMs. The proposed method was tested over the Hambach open-pit mine in Germany. The results show that the mean accuracy of the updated DEMs is about 8.7 m, demonstrating a 60 % improvement over classical single-track repeat-pass InSAR techniques. The proposed method offers a new option to frequently update DEMs, especially over areas with changes of surface terrain.
Authors
- Cui Zhou (ORCID: https://orcid.org/0000-0002-8523-1064)
- Zhiwei Li (ORCID: https://orcid.org/0000-0003-4575-5258)
- Zhanpeng Cao
- Zefa Yang (ORCID: https://orcid.org/0000-0001-9816-8562)
Institutions
- Central South University of Forestry and Technology (CN)
- Central South University (CN)
Publication Details
- Journal
- International Journal of Applied Earth Observation and Geoinformation
- Published
- 2025-09-01
- DOI
- https://doi.org/10.1016/j.jag.2025.104821
- Primary Topic
- Synthetic Aperture Radar (SAR) Applications and Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00