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SAOCOM-1 L-Band DInSAR Time Series Generation Through the P-SBAS Approach: Algorithm Extension and Products Analysis

Authors :
Claudio De Luca
Yenni Lorena Belen Roa
Manuela Bonano
Francesco Casu
Pablo Euillades
Leonardo Euillades
Marianna Franzese
Michele Manunta
Muhammad Yasir
Giovanni Onorato
Pasquale Striano
Luigi Dini
Deodato Tapete
Riccardo Lanari
Source :
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 18, Pp 2680-2703 (2025)
Publication Year :
2025
Publisher :
IEEE, 2025.

Abstract

We present in this work the new advances of the differential synthetic aperture radar (SAR) interferometry (DInSAR) technique referred to as the parallel Small BAseline Subset (P-SBAS) approach for the generation of displacement time series from the recently available L-band SAR image sequences acquired by the Argentinian SAOCOM-1 constellation. In particular, we first discuss the algorithmic extensions allowing us to retrieve SAOCOM-1 DInSAR products, with a main focus on the exploitation of Stripmap SAR images and multilook interferograms. These algorithmic improvements are relevant to the adjacent single look complex (SLC) image slices merging to the multitemporal residual orbital artifacts mitigation and to the phase unwrapping procedure enhancement. Subsequently, the effectiveness of the extended P-SBAS processing chain is shown through a comparative analysis between the achieved SAOCOM-1 DInSAR results and the corresponding ones relevant to Sentinel-1 and COSMO-SkyMed acquisitions. Moreover, a comparison between the SAOCOM-1 displacement time series and the GNSS measurements, relevant to the Campi Flegrei Caldera (Italy), is presented. This shows that the mean standard deviation value of the differences between the DInSAR and the GNSS time series, the latter projected in the radar line of sight, is about 1 cm, further confirming the effectiveness of the P-SBAS processing chain extension.

Details

Language :
English
ISSN :
19391404 and 21511535
Volume :
18
Database :
Directory of Open Access Journals
Journal :
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Publication Type :
Academic Journal
Accession number :
edsdoj.1177a5ed45354119ab835449fde4fbf8
Document Type :
article
Full Text :
https://doi.org/10.1109/JSTARS.2024.3507554