Classification of ground deformation using sentinel-1 persistent scatterer interferometry time series


Por: Mirmazloumi, SM, Wassie, Y, Navarro, JA, Palamà, R, Krishnakumar, V, Barra, A, Cuevas-González, M, Crosetto, M, Monserrat, O

Publicada: 31 dic 2022
Categoría: Earth and planetary sciences (miscellaneous)

Resumen:
Displacement time series (TS) provides temporal and spatial information related to ground deformation. This study aims to investigate temporal behavior of ground deformation TS, including classification of displacement trends and periodicity evaluation, which ease the interpretation of movements. To this end, we propose several modifications to an existing automatic classification workflow of Persistent Scatterers Interferometry (PSI) TS using new tests to classify ground deformations into seven main trends: Stable, Linear, Quadratic, Bilinear, Phase Unwrapping Errors (PUE), Discontinuous with constant and different velocities. We illustrate our approach over 1500 km(2) of the Granada region and the metropolitan area of Barcelona, which were monitored using Sentinel-1 images and a PSI technique. This study provided the spatial distribution of different ground movement types and was useful to detect several TS anomalies due to PUE. The proposed approach also identified stable targets, which were wrongly classified as moving scatterers by the existing classification method. A periodicity analysis was finally performed using the Welch's power spectral density estimator to investigate seasonal and yearly fluctuations. The method was validated using simulated data, where the classified TSs characterized by probable phase unwrapping errors were verified by PSI experts. The overall classification accuracy was 77.8%, indicating that the proposed method has a considerable TS classification potential.

Filiaciones:
Mirmazloumi, SM:
 Centre Tecnològic de Telecomunicacions de Catalunya (CTTC/CERCA), Geomatics Research Unit, Av. Gauss, 7 E-08860 Castelldefels, Barcelona, Spain

Wassie, Y:
 Centre Tecnològic de Telecomunicacions de Catalunya (CTTC/CERCA), Geomatics Research Unit, Av. Gauss, 7 E-08860 Castelldefels, Barcelona, Spain

Navarro, JA:
 Centre Tecnològic de Telecomunicacions de Catalunya (CTTC/CERCA), Geomatics Research Unit, Av. Gauss, 7 E-08860 Castelldefels, Barcelona, Spain

Palamà, R:
 Centre Tecnològic de Telecomunicacions de Catalunya (CTTC/CERCA), Geomatics Research Unit, Av. Gauss, 7 E-08860 Castelldefels, Barcelona, Spain

Krishnakumar, V:
 Centre Tecnològic de Telecomunicacions de Catalunya (CTTC/CERCA), Geomatics Research Unit, Av. Gauss, 7 E-08860 Castelldefels, Barcelona, Spain

Barra, A:
 Centre Tecnològic de Telecomunicacions de Catalunya (CTTC/CERCA), Geomatics Research Unit, Av. Gauss, 7 E-08860 Castelldefels, Barcelona, Spain

Cuevas-González, M:
 Centre Tecnològic de Telecomunicacions de Catalunya (CTTC/CERCA), Geomatics Research Unit, Av. Gauss, 7 E-08860 Castelldefels, Barcelona, Spain

Crosetto, M:
 Centre Tecnològic de Telecomunicacions de Catalunya (CTTC/CERCA), Geomatics Research Unit, Av. Gauss, 7 E-08860 Castelldefels, Barcelona, Spain

Monserrat, O:
 Centre Tecnològic de Telecomunicacions de Catalunya (CTTC/CERCA), Geomatics Research Unit, Av. Gauss, 7 E-08860 Castelldefels, Barcelona, Spain
ISSN: 15481603





GISCIENCE & REMOTE SENSING
Editorial
Taylor and Francis Ltd., 2-4 PARK SQUARE, MILTON PARK, ABINGDON OR14 4RN, OXON, ENGLAND, Reino Unido
Tipo de documento: Article
Volumen: 59 Número: 1
Páginas: 374-392
WOS Id: 000750661200001
imagen gold, Green Published, All Open Access; Gold Open Access; Green Open Access

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