Persistent Scatterer Analysis Using Dual-Polarization Sentinel-1 Data: Contribution From VH Channel

Abstract

The regular acquisition and relatively short revisit 4 time of Sentinel-1 satellite improve the capability of a persistent 5 scatterer interferometric synthetic aperture radar (PS-InSAR) as 6 a suitable geodetic method of choice for measuring ground sur-7 face deformation in space and time. The SAR instrument aboard 8 the Sentinel-1 satellite supports operation in dual polarization 9 (HH-HV, VV-VH), which can be used to increase the spatial den-10 sity of measurement points through the polarimetric optimization 11 method. This study evaluates the improvement in displacement 12 mapping by incorporating the information obtained from the VH 13 channel of Sentinel-1 data into the PS-InSAR analysis. The method 14 that has shown great success with different polarimetric data per-15 forms a search over the available polarimetric space in order to 16 find a linear combination of polarization states, which yields the 17 optimum PS selection criterion using the amplitude dispersion in-18 dex (ADI) criterion. We applied the method to a dataset of 50 19 dual-polarized (VV-VH) Sentinel-1 images over Trondheim city 20 in Norway. The results show overall increase of about 186% and 21 78% in the number of PS points with respect to the conventional 22 channels of VH and VV, respectively. The study concludes that, 23 using the ADI optimization, we can incorporate information from 24 the VH channel into the PS-InSAR analysis, which otherwise is lost 25 due to its low amplitude.26

Polarimetric Persistent Scatterer Interferometry for Ground Deformation Monitoring with VV-VH Sentinel-1 Data

“…However, as PolPSI algorithms' performances are affected by PolSAR images' resolution [40], the suitability of PolPSI with the medium resolution Sentinel-1 PolSAR images has to be investigated. In 2018, Roghayeh Shamshiri incorporates VH channel Sentinel-1 images with commonly used VV one for Trondheim city ground deformation monitoring using the PolPSI-ADI method, demonstrating the advantages of employing sentinel-1 dual-pol SAR images for PSI applications [41]. Almost at the same time, an advanced PolPSI-COH technique [34] and the coherency matrix decomposition (CMD) method (which can be used as both PolPSI-ADI and POlPSI-COH) [36] have been proposed and evaluated on Sentinel-1 PolSAR images over San Fernando Valley and Mexico city, respectively.…”

Sentinel-1 Big Data Processing with P-SBAS InSAR in the Geohazards Exploitation Platform: An Experiment on Coastal Land Subsidence and Landslides in Italy

“…Future research on this area will also attempt the exploitation of the VH data, both for comparison and in combination with VV. While the use of the VH data alone provides lower performance in terms of candidates and final persistent targets identification due to the generally lower amplitude of cross-polarized imagery (e.g., [52]), their combined exploitation with VV data through optimization methods proved capable to enhance the performance (e.g., [52,53]). This could be a way forward for future research specifically aiming to compare the InSAR processing performance and accuracy at different polarizations.…”

Water Body Automated Extraction in Polarization SAR Images With Dense-Coordinate-Feature-Concatenate Network

“…GF-3 and Sentinel-1 satellites are both C-band multipolarization SAR. They can realize global ocean and land information transmission all day, and all-day monitoring can be used in marine, disaster reduction, water conservancy, meteorology, and other fields [52], [53]. The basic information of the data source is provided in Table I.…”