eprintid: 2314 rev_number: 10 eprint_status: archive userid: 6 dir: disk0/00/00/23/14 datestamp: 2021-12-15 07:41:28 lastmod: 2021-12-15 07:41:28 status_changed: 2021-12-15 07:41:28 type: article metadata_visibility: show creators_name: Pawluszek-Filipiak, Kamila creators_name: Borkowski, Andrzej corp_creators: Wrocław University of Environmental and Life Sciences corp_creators: Wrocław University of Environmental and Life Sciences title: Monitoring mining-induced subsidence by integrating differential radar interferometry and persistent scatterer techniques subjects: O subjects: RP2 subjects: SMU divisions: MUSE2 full_text_status: none keywords: Persistent scatterer interferometry, differential interferometry, DInSAR fusion, splines, subsidence, mining, abstract: 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. date: 2021 date_type: published publication: European Journal of Remote Sensing volume: 54 number: sup1 publisher: MDPI pagerange: 18-30 id_number: doi:10.1080/22797254.2020.1759455 issn: 2279-7254 official_url: https://doi.org/10.1080/22797254.2020.1759455 access_IS-EPOS: limited owner: Publisher acknowledgments2: EPOS-PL_project citation: Pawluszek-Filipiak, Kamila and Borkowski, Andrzej (2021) Monitoring mining-induced subsidence by integrating differential radar interferometry and persistent scatterer techniques. European Journal of Remote Sensing, 54 (sup1). pp. 18-30. DOI: https://doi.org/10.1080/22797254.2020.1759455