Title :
On the generation of ERS/ENVISAT DInSAR time-series via the SBAS technique
Author :
Pepe, Antonio ; Sansosti, Eugenio ; Berardino, Paolo ; Lanari, Riccardo
Author_Institution :
Dipt. di Ingegneria Elettronica e delle Telecomunicazioni, Univ. Federico, Napoli, Italy
fDate :
7/1/2005 12:00:00 AM
Abstract :
We exploit the small baseline subset (SBAS) algorithm for generating deformation time-series from SAR data acquired by sensors with different characteristics but with the same illumination geometry. In particular, our approach is focused on the use of European Remote Sensing (ERS) and ENVISAT satellite data, the latter acquired by the Advanced Synthetic Aperture Radar sensor on the IS2 swath. The proposed solution is oriented to investigate large-scale displacements with a relatively low spatial resolution (about 100×100 m) and implements an easy but effective combination of ERS and ENVISAT multilook interferograms which benefits of the temporal overlap between the acquisitions of the two sensors. Moreover, the algorithm does not rely on specific hypothesis on the spatial or temporal characteristics of the investigated deformations. Presented results, achieved on a synthetic aperture radar dataset relevant to the Napoli city area (Italy), confirm the validity of the approach.
Keywords :
radiowave interferometry; remote sensing by radar; spaceborne radar; synthetic aperture radar; time series; topography (Earth); 5.3 GHz; 5.331 GHz; Advanced Synthetic Aperture Radar sensor; ERS/ENVISAT DInSAR time-series; European Remote Sensing; Italy; Naples; Napoli city area; SAR data; SBAS technique; deformation time-series; illumination geometry; large-scale displacements; multilook interferograms; satellite data; small baseline subset algorithm; Character generation; Geometry; Interferometry; Large-scale systems; Lighting; Remote sensing; Satellites; Sensor phenomena and characterization; Spatial resolution; Synthetic aperture radar; Deformation time-series; differential synthetic aperture radar (SAR) interferometry (DInSAR); small baseline subset (SBAS);
Journal_Title :
Geoscience and Remote Sensing Letters, IEEE
DOI :
10.1109/LGRS.2005.848497