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InSAR Analysis Ready Data | IEEE Conference Publication | IEEE Xplore

Abstract:

The Sentinel-1 satellite constellation provides temporally dense and high spatial resolution Synthetic Aperture Radar (SAR) imagery. The open data policy and global cover...Show More

Abstract:

The Sentinel-1 satellite constellation provides temporally dense and high spatial resolution Synthetic Aperture Radar (SAR) imagery. The open data policy and global coverage of Sentinel-1 enables applications that require long time series, such as modelling surface deformation rates from Interferometric Synthetic Aperture Radar (InSAR) data, to be scaled-up and generate continent-scale products. In this paper, we present a workflow to generate interferometric products from the Copernicus Australasia Regional Data Hub archive of Single Look Complex (SLC) Sentinel-1 data, with the objective to derive a continent-wide ground surface deformation map for Australia. The proposed workflow can be used to generate Sentinel-1 InSAR Analysis Ready Data (ARD) suitable for ongoing monitoring of ground deformation.
Date of Conference: 17-22 July 2022
Date Added to IEEE Xplore: 28 September 2022
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ISSN Information:

Conference Location: Kuala Lumpur, Malaysia
References is not available for this document.

1. Introduction

The growing volume of Synthetic Aperture Radar (SAR) imagery acquired by the Sentinel-l satellite constellation creates opportunities and opens new challenges for interferometric SAR (InSAR) applications to monitor and assess changes to the Earth's surface in a systematic way. The Sentinel-ISAR data from the European Union's Copernicus program is unique, as it for the first time, provides temporally dense and high spatial resolution satellite SAR imagery freely for the entire globe. However, researchers undertaking multi-temporal InSAR studies of long-term deformation processes face the challenge of establishing an efficient architecture of computing infrastructure, storage, algorithms, and software to routinely process the, ever-growing, big SAR data archive.

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1.
ESA Sentinel-l Observation Scenerio, January 2021, [online] Available: https://sentinels.copernicus.eu/web/sentinel/missions/sentine1-l/observation-scenario.
2.
PyRate, January 2022, [online] Available: https://github.com/GeoscienceAustralia/PyRate.
3.
U. Wegmuller and C. Werner, "GAMMA SAR processor and interferometry software", 3rd ERS Scientific Symposium, 1997.
4.
CARD4L, January 2022, [online] Available: https://ceos.org/ard/.
5.
T. Fuhrmann, Surface Displacements from Fusion of Geodetic Measurement Techniques Applied to the Upper Rhine Graben Area, 2016.
6.
T. Fuhrmann and M. C. Garthwaite, "Resolving Three-Dimensional Surface Motion with InSAR: Constraints from Multi-Geometry Data Fusion", Remote Sensing, vol. 11, no. 3, pp. 241, 2019.
7.
J. Hu, J. J. Zhu, Z. W. Li, X. L. Ding, C. C. Wang and Q. Sun, "Robust Estimating Three-Dimensional Ground Motions from Fusion of InSAR and GPS Measurements", 2011 International Symposium on Image and Data Fusion, pp. 1-4, 2011.
8.
T. Fuhrmann et al., "Estimation of small surface displacements in the Upper Rhine Graben area from a combined analysis of PS-InSAR levelling and GNSS data", Geophysical Journal International, vol. 203, no. 1, pp. 614-631, 2015.
9.
T. Fuhrmann, M. C. Garthwaite, S. Lawrie and N. Brown, "Combination of GNSS and InSAR for Future Australian Datums", IGNSS Symposium 2018, pp. 1-13, 2018.

References

References is not available for this document.