RADARSAT-1 Deformation Time-Series Analysis Based on the SBAS-DInSAR Algorithm

BONANO, M.; PEPE, A.; EUILLADES, L. D.; SANSOSTI, E.; BERARDINO, P.; LANARI, R.

Cape Town, South Africa

Congreso; 2009 IEEE International Geoscience & Remote Sensing Symposium; 2009

IEEE

We extend the Small BAseline Subset (SBAS) algorithm to generate deformation time-series from SAR data acquired by the Canadian Space Agency (CSA) RADARSAT-1 sensor.The proposed approach is mostly oriented to the investigation of large scale deformation events with relatively low spatial resolutions (of about 100 x 100 m), and is based on the use ofconventional multi-look interferograms with small temporal and spatial baseline separations. With respect to the original SBAS approach, several improvements are required to take into accountthe inaccuracies on the knowledge of the RADARSAT-1 orbital parameters, and of the significant fluctuations of the doppler centroid values over each single SAR scene. This work isaimed to present the first results achieved by applying the implemented RADARSAT-1 SBAS processing chain to an archive of SAR scenes, acquired in the time interval from 2000 to 2003 over, and relevant to the Hawaii Island area. The presented results markedly confirm the effectiveness of the implemented RADARSAT-1 SBAS processing chain.