Lazecky, M, Comut, FC, Bakon, M et al. (9 more authors) (2016) Concept of an Effective Sentinel-1 Satellite SAR Interferometry System. Procedia Computer Science, 100. pp. 14-18. ISSN 1877-0509
Abstract
This brief study introduces a partially working concept being developed at IT4Innovations supercomputer (HPC) facility. This concept consists of several modules that form a whole body of an efficient system for observation of terrain or objects displacements using satellite SAR interferometry (InSAR). A metadata database helps to locate data stored in various storages and to perform basic analyzes. A special database has been designed to describe Sentinel-1 data, on its burst level. Custom Sentinel-1 TOPS processing algorithms allow an injection of coregistered bursts into the database. Once the area of interest is set and basic processing parameters are given, the selected data are merged and processed by the Persistent Scatterers (PS) InSAR method or an optimized Small Baselines (SB) InSAR derivative. Depending on the expected deliverables, the processing results can be post-analyzed using a custom approach, in order to achieve a set of reliable measurement points. Final results can be post-processed and visualized using a custom GIS toolbox, consisting in open-source GIS functionality. The GIS post-processing is enforced by HPC power as well. To demonstrate the practical applicability of the described system, a subsidence area in Konya city, Turkey is used as the study area for Sentinel-1 InSAR evaluation.
Metadata
Item Type: | Article |
---|---|
Authors/Creators: |
|
Copyright, Publisher and Additional Information: | © 2016, The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/) |
Keywords: | SAR Interferometry; Sentinel-1; HPC; Big Data; deformation monitoring |
Dates: |
|
Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Environment (Leeds) > School of Earth and Environment (Leeds) > Inst for Climate & Atmos Science (ICAS) (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 21 Oct 2016 15:29 |
Last Modified: | 05 Oct 2017 16:08 |
Published Version: | https://doi.org/10.1016/j.procs.2016.09.118 |
Status: | Published |
Publisher: | Elsevier |
Identification Number: | 10.1016/j.procs.2016.09.118 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:106320 |