Next Article in Journal
Landsat Analysis Ready Data for Global Land Cover and Land Cover Change Mapping
Next Article in Special Issue
Performance Analysis of Open Source Time Series InSAR Methods for Deformation Monitoring over a Broader Mining Region
Previous Article in Journal
Towards a Multi-Temporal Deep Learning Approach for Mapping Urban Fabric Using Sentinel 2 Images
Open AccessEditor’s ChoiceArticle

LiCSBAS: An Open-Source InSAR Time Series Analysis Package Integrated with the LiCSAR Automated Sentinel-1 InSAR Processor

1
COMET, School of Earth and Environment, University of Leeds, Leeds LS2 9JT, UK
2
Geography and Crustal Dynamics Research Center, Geospatial Information Authority of Japan, Tsukuba 305-0811, Japan
3
Institute of Geosciences, University of Potsdam, 14476 Potsdam, Germany
*
Author to whom correspondence should be addressed.
Remote Sens. 2020, 12(3), 424; https://doi.org/10.3390/rs12030424
Received: 24 December 2019 / Revised: 20 January 2020 / Accepted: 26 January 2020 / Published: 28 January 2020
(This article belongs to the Special Issue Scaling-Up Deformation Monitoring and Analysis)
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 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 (~km) relative displacements with an accuracy of <1 cm/epoch and ~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. View Full-Text
Keywords: InSAR; Sentinel-1; time series analysis; deformation monitoring; tectonics; subsidence; automatic processing; global InSAR; Sentinel-1; time series analysis; deformation monitoring; tectonics; subsidence; automatic processing; global
Show Figures

Graphical abstract

MDPI and ACS Style

Morishita, Y.; Lazecky, M.; Wright, T.J.; Weiss, J.R.; Elliott, J.R.; Hooper, A. LiCSBAS: An Open-Source InSAR Time Series Analysis Package Integrated with the LiCSAR Automated Sentinel-1 InSAR Processor. Remote Sens. 2020, 12, 424. https://doi.org/10.3390/rs12030424

AMA Style

Morishita Y, Lazecky M, Wright TJ, Weiss JR, Elliott JR, Hooper A. LiCSBAS: An Open-Source InSAR Time Series Analysis Package Integrated with the LiCSAR Automated Sentinel-1 InSAR Processor. Remote Sensing. 2020; 12(3):424. https://doi.org/10.3390/rs12030424

Chicago/Turabian Style

Morishita, Yu; Lazecky, Milan; Wright, Tim J.; Weiss, Jonathan R.; Elliott, John R.; Hooper, Andy. 2020. "LiCSBAS: An Open-Source InSAR Time Series Analysis Package Integrated with the LiCSAR Automated Sentinel-1 InSAR Processor" Remote Sens. 12, no. 3: 424. https://doi.org/10.3390/rs12030424

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Search more from Scilit
 
Search
Back to TopTop