A Least Squares Adjustment of Multi-temporal InSAR Data - Archive ouverte HAL Accéder directement au contenu
Article Dans Une Revue Photogrammetric engineering and remote sensing Année : 2005

A Least Squares Adjustment of Multi-temporal InSAR Data

(1) , (2) , (2) , (2)


Satellite radar interferometry can be used to spatially monitor small vertical ground deformations. When millimeter accuracy is required, the differential interferometry technique is hampered by the ambiguity with atmospheric artifacts. It is also often difficult to obtain a precise evaluation of the kinematic evolution of ground deformations from a set of time, randomly distributed interferograms. We present the results of a least-squares approach coupled with a temporal filtering and applied to a large data set over the City of Paris. The mean deformation rate and a map of areas affected by time, non-linear deformation events are presented. We show that this approach, which provides a chronologically ordered set of phase screens, allows the retrieval of the kinematic parameters of ground deformations as low as 1 to 2 mm per year. Subsiding areas have been detected, and their evolution in time has been quantified. Such an approach can be useful to fully characterize the kinematic evolution of ground deformations in major cities or desertic areas where large areas have a high degree of coherence and where millimeter accuracy is often required.
Fichier principal
Vignette du fichier
s6.pdf (4 Mo) Télécharger le fichier
Origine : Publication financée par une institution

Dates et versions

hal-03763094 , version 1 (29-08-2022)



Stéphane Le Mouélic, Daniel Raucoules, Claudie Carnec, Christine King. A Least Squares Adjustment of Multi-temporal InSAR Data. Photogrammetric engineering and remote sensing, 2005, 71 (2), pp.197-204. ⟨10.14358/PERS.71.2.197⟩. ⟨hal-03763094⟩
25 Consultations
7 Téléchargements



Gmail Facebook Twitter LinkedIn More