Sentinel-1 A-DInSAR Approaches to Map and Monitor Ground Displacements
Por:
Krishnakumar, V, Qiu, ZW, Monserrat, O, Barra, A, López-Vinielles, J, Reyes-Carmona, C, Gao, Q, Cuevas-González, M, Palamà, R, Crippa, B, Gili, JA
Publicada:
1 mar 2021
Categoría:
Earth and planetary sciences (miscellaneous)
Resumen:
Persistent scatterer interferometry (PSI) is a group of advanced interferometric synthetic aperture radar (SAR) techniques used to measure and monitor terrain deformation. Sentinel-1 has improved the data acquisition throughout and, compared to previous sensors, increased considerably the differential interferometric SAR (DInSAR) and PSI deformation monitoring potential. The low density of persistent scatterer (PS) in non-urban areas is a critical issue in DInSAR and has inspired the development of alternative approaches and refinement of the PS chains. This paper proposes two different and complementary data-driven procedures to obtain terrain deformation maps. These approaches aim to exploit Sentinel-1 highly coherent interferograms and their short revisit time. The first approach, called direct integration (DI), aims at providing a very fast and straightforward approach to screen-wide areas and easily detects active areas. This approach fully exploits the coherent interferograms from consecutive images provided by Sentinel-1, resulting in a very high sampling density. However, it lacks robustness and its usability lays on the operator experience. The second method, called persistent scatterer interferometry geomatics (PSIG) short temporal baseline, provides a constrained application of the PSIG chain, the CTTC approach to the PSI. It uses short temporal baseline interferograms and does not assume any deformation model for point selection. It is also quite a straightforward approach, which improves the performances of the standard PSIG approach, increasing the PS density and providing robust measurements. The effectiveness of the approaches is illustrated through analyses performed on different test sites.
Filiaciones:
Krishnakumar, V:
Ctr Tecnol Telecomunicac Catalunya CTTC, Div Geomat, Castelldefels 08860, Spain
Qiu, ZW:
Jiangsu Ocean Univ, Sch Marine Technol & Geomat, Cangwu Rd 59, Lianyungang 222005, Peoples R China
Monserrat, O:
Ctr Tecnol Telecomunicac Catalunya CTTC, Div Geomat, Castelldefels 08860, Spain
Barra, A:
Ctr Tecnol Telecomunicac Catalunya CTTC, Div Geomat, Castelldefels 08860, Spain
López-Vinielles, J:
HEMAV SL, Carrer Esteve Terrades 1, Castelldefels 08860, Spain
Univ Politecn Madrid UPM, Sch Civil Engn ETSI CCP, Calle Profesor Aranguren S-N, Madrid 28040, Spain
Geol Survey Spain IGME, Geohazards InSAR Lab, Calle Rios Rosas 23, Madrid 28003, Spain
Geol Survey Spain IGME, Geosci Res Dept, Modelling Grp InSARlab, Calle Rios Rosas 23, Madrid 28003, Spain
Reyes-Carmona, C:
Geol Survey Spain IGME, Geohazards InSAR Lab, Calle Rios Rosas 23, Madrid 28003, Spain
Geol Survey Spain IGME, Geosci Res Dept, Modelling Grp InSARlab, Calle Rios Rosas 23, Madrid 28003, Spain
Gao, Q:
Ctr Tecnol Telecomunicac Catalunya CTTC, Div Geomat, Castelldefels 08860, Spain
Cuevas-González, M:
Ctr Tecnol Telecomunicac Catalunya CTTC, Div Geomat, Castelldefels 08860, Spain
Palamà, R:
Ctr Tecnol Telecomunicac Catalunya CTTC, Div Geomat, Castelldefels 08860, Spain
Crippa, B:
Univ Milan, Dept Earth Sci, Via Cicognara 7, I-20129 Milan, Italy
Gili, JA:
Univ Politecn Catalunya UPC, Dept Civil & Environm Engn, C Jordi Girona 1-3, Barcelona 08034, Spain
Green Published, gold, All Open Access; Gold Open Access; Green Open Access
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