LiCSBAS
- For the past five years, the 2-satellite Sentinel-1 constellation has provided abundant and useful Synthetic Aperture Radar (SAR) data, which have the potential to reveal global ground surface deformation at high spatial and temporal resolutions. However, for most users, fully exploiting the large amount of associated data is challenging, especially over wide areas. To help address this challenge, we have developed LiCSBAS, an open-source SAR interferometry (InSAR) time series analysis package that integrates with the automated Sentinel-1 InSAR processor (LiCSAR). LiCSBAS utilizes freely available LiCSAR products, and users can save processing time and disk space while obtaining the results of InSAR time series analysis. In the LiCSBAS processing scheme, interferograms with many unwrapping errors are automatically identified by loop closure and removed. Reliable time series and velocities are derived with the aid of masking using several noise indices. The easy implementation of atmospheric corrections to reduce noise is achieved withFor the past five years, the 2-satellite Sentinel-1 constellation has provided abundant and useful Synthetic Aperture Radar (SAR) data, which have the potential to reveal global ground surface deformation at high spatial and temporal resolutions. However, for most users, fully exploiting the large amount of associated data is challenging, especially over wide areas. To help address this challenge, we have developed LiCSBAS, an open-source SAR interferometry (InSAR) time series analysis package that integrates with the automated Sentinel-1 InSAR processor (LiCSAR). LiCSBAS utilizes freely available LiCSAR products, and users can save processing time and disk space while obtaining the results of InSAR time series analysis. In the LiCSBAS processing scheme, interferograms with many unwrapping errors are automatically identified by loop closure and removed. Reliable time series and velocities are derived with the aid of masking using several noise indices. The easy implementation of atmospheric corrections to reduce noise is achieved with the Generic Atmospheric Correction Online Service for InSAR (GACOS). Using case studies in southern Tohoku and the Echigo Plain, Japan, we demonstrate that LiCSBAS applied to LiCSAR products can detect both large-scale (>100 km) and localized (similar to km) relative displacements with an accuracy of <1 cm/epoch and similar to 2 mm/yr. We detect displacements with different temporal characteristics, including linear, periodic, and episodic, in Niigata, Ojiya, and Sanjo City, respectively. LiCSBAS and LiCSAR products facilitate greater exploitation of globally available and abundant SAR datasets and enhance their applications for scientific research and societal benefit.…
Author details: | Yu MorishitaORCiD, Milan LazeckyORCiD, Tim J. WrightORCiDGND, Jonathan R. WeissORCiD, John R. ElliottORCiD, Andy Hooper |
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DOI: | https://doi.org/10.3390/rs12030424 |
ISSN: | 2072-4292 |
Title of parent work (English): | Remote sensing |
Subtitle (English): | an open-source InSAR time series analysis package integrated with the LiCSAR automated Sentinel-1 InSAR processor |
Publisher: | MDPI |
Place of publishing: | Basel |
Publication type: | Article |
Language: | English |
Date of first publication: | 2020/01/28 |
Publication year: | 2020 |
Release date: | 2023/06/01 |
Tag: | InSAR; Sentinel-1; automatic processing; deformation monitoring; global; subsidence; tectonics; time series analysis |
Volume: | 12 |
Issue: | 3 |
Article number: | 424 |
Number of pages: | 29 |
Funding institution: | Japan Society for the Promotion of Science Overseas Research; FellowshipMinistry of Education, Culture, Sports, Science and; Technology, Japan (MEXT)Japan Society for the Promotion of Science; Natural Environment Research Council large grant, "Looking inside the; continents from Space" [NE/K010867/1]; Royal Society University Research; FellowshipRoyal Society of London [UF150282]; University of Leeds; NERCUK Research & Innovation (UKRI)Natural Environment Research Council; (NERC) [come30001, NE/K010867/1, NE/J01978X/1] Funding Source: UKRI |
Organizational units: | Mathematisch-Naturwissenschaftliche Fakultät / Institut für Geowissenschaften |
DDC classification: | 5 Naturwissenschaften und Mathematik / 55 Geowissenschaften, Geologie / 550 Geowissenschaften |
Peer review: | Referiert |
Publishing method: | Open Access / Gold Open-Access |
DOAJ gelistet | |
License (German): | CC-BY - Namensnennung 4.0 International |