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LiCSAR: An Automatic InSAR Tool for Measuring and Monitoring Tectonic and Volcanic Activity

Authors :
Richard J. Walters
C. Scott Watson
Yasser Maghsoudi
Fabien Albino
Jonathan R. Weiss
Daniel Juncu
Nicholas Greenall
Milan Lazecký
Emma Hatton
Pablo J. González
Alistair McDougall
Andrew Hooper
Yu Morishita
Tim J. Wright
Karsten Spaans
John Elliott
University of Leeds
Source :
Remote Sensing, Remote Sensing, Vol 12, Iss 2430, p 2430 (2020), Remote Sensing; Volume 12; Issue 15; Pages: 2430, Digital.CSIC. Repositorio Institucional del CSIC, instname, Remote sensing, 2020, Vol.12(15), pp.2430 [Peer Reviewed Journal]
Publication Year :
2020
Publisher :
Multidisciplinary Digital Publishing Institute, 2020.

Abstract

Space-borne Synthetic Aperture Radar (SAR) Interferometry (InSAR) is now a key geophysical tool for surface deformation studies. The European Commission’s Sentinel-1 Constellation began acquiring data systematically in late 2014. The data, which are free and open access, have global coverage at moderate resolution with a 6 or 12-day revisit, enabling researchers to investigate large- scale surface deformation systematically through time. However, full exploitation of the potential of Sentinel-1 requires specific processing approaches as well as the efficient use of modern computing and data storage facilities. Here we present LiCSAR, an operational system built for large-scale interferometric processing of Sentinel-1 data. LiCSAR is designed to automatically produce geocoded wrapped and unwrapped interferograms and coherence estimates, for large regions, at 0.001° resolution (WGS-84 system). The products are continuously updated in a frequency depending on prioritised regions (monthly, weekly or live update strategy). The products are open and freely accessible and downloadable through an online portal. We describe the algorithms, processing, and storage solutions implemented in LiCSAR, and show several case studies that use LiCSAR products to measure tectonic and volcanic deformation. We aim to accelerate the uptake of InSAR data by researchers as well as non-expert users by mass producing interferograms and derived products.<br />This work was partially undertaken on ARC4, part of the High Performance Computing facilities at the University of Leeds, UK.

Details

Language :
English
ISSN :
20724292
Database :
OpenAIRE
Journal :
Remote Sensing, Remote Sensing, Vol 12, Iss 2430, p 2430 (2020), Remote Sensing; Volume 12; Issue 15; Pages: 2430, Digital.CSIC. Repositorio Institucional del CSIC, instname, Remote sensing, 2020, Vol.12(15), pp.2430 [Peer Reviewed Journal]
Accession number :
edsair.doi.dedup.....a62212d914a02d4e0f7629abfd16294a