Name
Title | ||
|---|---|---|
A quantitative assessment of DInSAR Time series accuracy in volcanic areas: From the first to second generation SAR sensors |
Abstract | ||
|---|---|---|
We perform a quantitative assessment of the accuracy of Differential SAR Interferometry (DInSAR) time series in volcanic areas, retrieved through “first” and “second generation” SAR data. In particular, we analyze the impact that the wavelengths and looking geometries may have in the DInSAR measurement retrieval depending on the radar system. To this aim, we focus on the DInSAR algorithm referred to as Small BAseline Subset (SBAS) to generate mean deformation velocity maps and corresponding time series starting from sequences of SAR images. Moreover, we consider collections of SAR data acquired by the ERS-1/2 and ENVISAT (C-band), and COSMO-SkyMed (Xband) sensors over the volcanic area of the Campi Flegrei caldera, Southern Italy. We invert these SAR data sequences through the SBAS-DInSAR technique, thus obtaining C- and X- band deformation time series that we compare to continuous GPS measurements, the latter assumed as reference. The achieved results provide, in addition to a clear picture of the surface deformation phenomena already occurred and occurring in the selected case study, relevant indications for the analysis of the SBAS-DInSAR time series accuracies in volcanic areas passing from the first to second generation SAR sensors. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/IGARSS.2012.6351410 | IGARSS |
Keywords | Field | DocType |
global positioning system,synthetic aperture radar,continuous gps measurements,xband sensors,sar data sequences,dinsar measurement retrieval,differential synthetic aperture radar interferometry,southern italy,c-band,cosmo-skymed,deformation time series,differential sar interferometry,volcanology,small baseline subset,volcanic areas,sar sensors,surface deformation,ers-1/2,envisat,sbas-dinsar technique,radar interferometry,campi flegrei caldera,radar system,time series,dinsar time series accuracy,surface deformation phenomena,quantitative assessment,mean deformation velocity maps,accuracy,c band,time series analysis,sensors,interferometry | Volcano,Computer science,Synthetic aperture radar,Remote sensing,GNSS augmentation,Interferometry,Volcanology,Global Positioning System,Quantitative assessment,Caldera,Geodesy | Conference |
ISSN | ISBN | Citations |
2153-6996 E-ISBN : 978-1-4673-1158-8 | 978-1-4673-1158-8 | 0 |
PageRank | References | Authors |
0.34 | 7 | 17 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mariarosaria Manzo | 1 | 41 | 10.53 |
| P. Berardino | 2 | 730 | 85.58 |
| Manuela Bonano | 3 | 60 | 12.83 |
| Francesco Casu | 4 | 85 | 18.44 |
| Michele Manunta | 5 | 251 | 31.65 |
| Antonio Pepe | 6 | 183 | 30.06 |
| Susi Pepe | 7 | 15 | 4.69 |
| Eugenio Sansosti | 8 | 94 | 23.99 |
| Giuseppe Solaro | 9 | 18 | 7.08 |
| Pietro Tizzani | 10 | 15 | 7.06 |
| Giovanni Zeni | 11 | 15 | 3.00 |
| Francesco Guglielmino | 12 | 20 | 4.04 |
| Giuseppe Puglisi | 13 | 43 | 13.64 |
| Prospero De Martino | 14 | 0 | 1.69 |
| Francesco Obrizzo | 15 | 0 | 0.68 |
| Umberto Tammaro | 16 | 0 | 0.68 |
| Riccardo Lanari | 17 | 199 | 50.16 |