Bozsó, I, Bányai, L, Hooper, A orcid.org/0000-0003-4244-6652 et al. (2 more authors) (2020) Integration of Sentinel-1 Interferometry and GNSS Networks for Derivation of 3-D Surface Changes. IEEE Geoscience and Remote Sensing Letters. ISSN 1545-598X
Abstract
We present a new procedure and program system to integrate Sentinel-1 synthetic aperture radar (SAR) interferometry and Global Navigation Satellite System (GNSS) network observations to estimate 3-D surface changes caused by environmental processes. The procedure is based on the integrated geodetic/geodynamic benchmarks, which are equipped with both ascending (ASC) and descending (DSC) corner reflectors. The results of sparse GNSS observations are interpolated using the ASC and DSC line-of-sight changes provided by the Sentinel-1 mission every six days. The data integration is carried out using a Kalman filter where north, east, and up (vertical) coordinates and their instantaneous velocities are estimated and updated by the GNSS-derived data. The north components are essentially provided by the GNSS observations alone. The procedure was developed and successfully tested on landslide areas in Hungary.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Global Navigation Satellite System (GNSS); InSAR; Kalman filter; Sentinel-1.; Sentinel-1 |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Environment (Leeds) > School of Earth and Environment (Leeds) > Inst of Geophysics and Tectonics (IGT) (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 07 Jul 2020 11:10 |
Last Modified: | 07 Jul 2020 11:11 |
Status: | Published online |
Publisher: | IEEE |
Identification Number: | 10.1109/LGRS.2020.2984917 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:162939 |