0534676 - ÚGN 2021 RIV CH eng J - Článek v odborném periodiku
Lazecký, M. - Hatton, E. - Gonzáles, P. J. - Hlaváčová, I. - Jiránková, Eva - Dvořák, F. - Šustr, Z. - Martinovič, J.
Displacements Monitoring over Czechia by IT4S1 System for Automatised Interferometric Measurements Using Sentinel-1 Data.
Remote Sensing. Roč. 12, č. 18 (2020), č. článku 2960. E-ISSN 2072-4292
Grant CEP: GA MŠMT LQ1602
Grant ostatní: Ga MŠk(CZ) LM2015070
Institucionální podpora: RVO:68145535
Klíčová slova: displacement measurement * high-performance computing * radar interferometry * synthetic aperture radar
Obor OECD: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Impakt faktor: 4.848, rok: 2020
Způsob publikování: Open access
https://www.mdpi.com/2072-4292/12/18/2960

The Sentinel-1 satellite system continuously observes European countries at a relatively high revisit frequency of six days per orbital track. Given the Sentinel-1 configuration, most areas in Czechia are observed every 1–2 days by different tracks in a moderate resolution. This is attractive for various types of analyses by various research groups. The starting point for interferometric (InSAR) processing is an original data provided in a Single Look Complex (SLC) level. This work represents advantages of storing data augmented to a specifically corrected level of data, SLC-C. The presented database contains Czech nationwide Sentinel-1 data stored in burst units that have been pre-processed to the state of a consistent well-coregistered dataset of SLC-C. These are resampled SLC data with their phase values reduced by a topographic phase signature, ready for fast interferometric analyses (an interferogram is generated by a complex conjugate between two stored SLC-C files). The data can be used directly into multitemporal interferometry techniques, e.g., Persistent Scatterers (PS) or Small Baseline (SB) techniques applied here. A further development of the nationwide system utilising SLC-C data would lead into a dynamic state where every new pre-processed burst triggers a processing update to detect unexpected changes from InSAR time series and therefore provides a signal for early warning against a potential dangerous displacement, e.g., a landslide, instability of an engineering structure or a formation of a sinkhole. An update of the processing chain would also allow use of cross-polarised Sentinel-1 data, needed for polarimetric analyses. The current system is running at a national supercomputing centre IT4Innovations in interconnection to the Czech Copernicus Collaborative Ground Segment (CESNET), providing fast on-demand InSAR results over Czech territories. A full nationwide PS processing using data over Czechia was performed in 2017, discovering several areas of land deformation. Its downsampled version and basic findings are demonstrated within the article.
Trvalý link: http://hdl.handle.net/11104/0312860