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Título: | Displacements Monitoring over Czechia by IT4S1 System for Automatised Interferometric Measurements using Sentinel-1 Data |
Autor: | Lazecký, Milan; Hatton, Emma; González, Pablo J. CSIC ORCID ; Hlaváčová, Ivana; Jiránková, Eva; Dvořák, František; Šustr, Zdeněk; Martinovič, Jan | Palabras clave: | Displacement measurement High-Performance Computing Radar interferometry Synthetic aperture radar |
Fecha de publicación: | 11-sep-2020 | Editor: | Multidisciplinary Digital Publishing Institute | Citación: | Remote Sensing 12(18), 2960: 1-22 (2020) | Resumen: | 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. | Versión del editor: | https://doi.org/10.3390/rs12182960 | URI: | http://hdl.handle.net/10261/219664 | DOI: | 10.3390/rs12182960 | E-ISSN: | 2072-4292 |
Aparece en las colecciones: | (IPNA) Artículos |
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Displacements-González-2020-RemoteSensing.pdf | Artículo principal | 1,74 MB | Adobe PDF | Visualizar/Abrir |
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