Journal
EUROPEAN JOURNAL OF REMOTE SENSING
Volume 54, Issue -, Pages 18-30Publisher
TAYLOR & FRANCIS LTD
DOI: 10.1080/22797254.2020.1759455
Keywords
Persistent scatterer interferometry; differential interferometry; DInSAR fusion; splines; subsidence; mining
Categories
Funding
- Operational Programme Smart Growth 2014-2020, Priority IV: Increasing the research potential, Action 4.2: Development of modern research infrastructure of the science sector [POIR.04.02.00-14-A003/16]
- European Regional Development Fund
Ask authors/readers for more resources
The study proposed a method to fuse the results of PSInSAR and DInSAR, reducing atmospheric errors and detecting deformation rates more accurately in measuring mining subsidence, especially in fast-moving subsidence areas.
Surface subsidence is a dominant component of the displacement vector triggered by underground mining. Over the last few decades, Differential Interferometry Synthetic Aperture Radar (DInSAR) has been used to efficiently monitor this phenomenon with great spatial and temporal coverage. More advanced multi-temporal DInSAR (MTInSAR) algorithms have been proposed to overcome some of the limitations of conventional DInSAR. However, advanced MTInSAR approaches are also not perfect in terms of measuring mining subsidence (e.g., temporal decorrelation, ambiguity, nonlinearity). For this reason, we propose a fusion of the Persistent Scatterer Interferometry (PSInSAR) and DInSAR results. By combining these complementary techniques, the atmospheric errors in PSInSAR data are reduced and larger deformation rates could have been detected more accurately (thanks to DInSAR) than by an approach solely based on PS-InSAR. This allows to measure areas with fast-moving subsidence (1 m/year) due to ongoing underground coal exploitation. Data from ascending and descending orbits of Sentinel-1A\B were used to obtain the vertical deformation component. The resulting integrated vertical deformation map was compared with the results from levelling benchmarks. The Root Mean Square Error (RMSE) calculated based on this comparison was 22 mm. Moreover, the maximal vertical cumulative subsidence detected in the study area was 1.05 m/year.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available