Scholarly record
DETECTION AND MAPPING GROUND DISPLACEMENT USING SENTINEL-1 TOPS FOR IASI COUNTY
Abstract
The main goal of this research is to detection and mapping ground displacement using Differential Radar Interferometry (DInSAR) technique. DInSAR is a powerful tool to detect and monitor ground deformation. Ia?i county is considered as study area in this research. Study area is geographically situated on latitude 46В°48?N to 47В°35?N and longitude 26В°29?E to 28В°07?E. For this paper was used Sentinel ? 1 images, kindly provided by The European Space Agency (ESA), which cover period January - December 2017, with vertical polarization (VV), ascending orbit and Interferometric Wide swath (IW) mode operated. SNAP was used to process the Sentinel ? 1 images. Data processing include two important steps: the DInSAR investigation and the GIS analysis. The first step is performed in SAR geometry and consists in the analysis of the interferometric data, both, spatial and temporal levels, with the goal of detecting areas affected by deformation. The principle output is a set of zones potentially affected by deformation. The second step (multilayer GIS analysis) suppose to drape the deformation map over geomorphological data.
Publication Impact Profile
Publication details
References15
Hariharan P., Basics of Interferometry, Elsevier Inc., 2007.
Catani F., Casagli N., Ermini L., Righini G., Menduni G., Landslide hazard and risk mapping at catchment scale in the Arno River basin, Landslides, vol. 2, pp 329-342, 2005.
Herrera G., Davalillo J., Mulas J., Monserrat O., Cooksley G., Pancioli V., Mapping and monitoring geomorphological processes in mountainous areas using PSI data: Central Pyrenees case study, Natural Hazards and Earth System Sciences, vol. 9, pp 1587-1598, 2009.
Righini G., Pancioli V., Casagli N., Updating landslide inventory maps using Persistent Scatterer Interferometry, International Journal of Remote Sensing., vol. 33, pp 2068-2096, 2012.
Cigna F., Bianchini S., Casagli N., How to assess landslide activity and intensity with PSI: the PSI-based matrix approach, Landslides, vol. 10, pp 267-283, 2013.
Crosetto M., Gili J.A., Monserrat O., Cuevas-Gonzalez M., Corominas J., Serral D., Interferometric SAR monitoring of the Vallcebre landslide (Spain) using corner reflectors, Natural Hazards and Earth System Sciences, vol. 13 pp 923-933, 2013.
Frangioni S., Bianchini S., Moretti S., Landslide inventory updating by means of PSI: The Setta basin (Italy) case study, Geomatics Natural Hazards & Risk, vol. 6 pp 419-438, 2014.
Rocca A, Mazzanti P, Bozzano F, Perissin D., Advanced characterization of a landslide-prone area by satellite A-DInSAR, Engineering Geology for Society and Territory, Vol. 5, pp 177-181, 2015.
Ferretti A., Guarnieri A.M., Prati C,. Rocca F., Massonet D., InSAR Principles-Guidelines for SAR Interferometry Processing and Interpretation, The Netherlands: ESA Publications, TM-19, 2007.
Gabriel A., Goldstein R., Zebker H., Mapping small elevation changes over large areas: Differential radar interferometry, Journal of Geophysical Research., vol 94, pp 9183-9191, 1989
Rosen P., Hensley S., Joughin I.R., Li F., Madsen S.N., Rodriguez E., Goldstein R., Synthetic aperture radar interferometry, Proceedings of the IEEE,., vol 88, pp 333-382, 2000.
Crosetto M., Crippa B., Biescas E., Monserrat O., Agudo M., Fernández P., Land deformation monitoring using SAR interferometry: State-of-the-art, Photogrammetrie - Fernerkundung - Geoinformation, vol. 6, pp 497-510, 2005.
Margarit M.C., Niculita M., Local stakeholders’ perception of natural risks. Case study of Iași County, NE Romania, Analysis and Management of Changing Risks for Natural Hazard, 2014.
Torres R., Geundtner D, Snoiej P., Rostan F., GMES Sentinel-1 mission. Remote Sensing of Environment, vol. 120 pp 9–24, 2012.
Prats-Iraola P., Scheiber R., Marotti L., Wollstadt S., Reigber A., TOPS interferometry with TerraSAR-X, IEEE Transactions on Geoscience and Remote Sensing, vol 50(8) pp 3179–3188, 2012.
View or Download full articleAccess options
SWS access login
Login as SWS Scientific CommitteeLogin as SWS Scientific PartnerLogin as SWS AuthorAuthors and approved SWS contributors will read and export their own linked papers after identity matching by SWS profile, email and SGEM GlobalID.
For librarian assistance: [email protected]
Purchase Instant Access
- Article can be downloaded after successful payment.
- Article may be used according to SWS library access terms.
- Article cannot be redistributed.
