The GBSAR is a radar-based terrestrial remote sensing imaging system. It consists of a radar sensor that emits and receives a burst of microwaves, repeating this operation while the sensor is moving along a rail track. The imaging capability is achieved by exploiting the Syntetic Aperture Radar (SAR) technique. The length of the rail determines the cross-range resolution of the acquired images: the longer the rail, the higher the cross-range resolution. The GBSAR is based on a coherent radar system, which measures not only the amplitude but also the phase of the received radar signal. The phase measurements can be exploited, by using interferometric techniques, to derive information on the deformation and topography of the measured scene. The main GBSAR application is deformation monitoring. For a general GBSAR review see Monserrat el al (2014). The GBSAR experience of our group includes:
- The development of software tools to process and analyse GBSAR data: we have a complete set of in-house developed tools to perform interferometric and non-interferometric analyses. A large part of he software tools are described in the PhD thesis of Monserrat, available here: PhD_thesis_Monserrat.
- A wide experience in carrying our continuous and discontinuous GBSAR campaigns, e.g. see Crosetto et al. (2014).
- The development of a non-interferometric GBSAR approach, which exploits the amplitude of the GBSAR images. This approach, which is described in Monserrat et al. (2013) and Crosetto et al. (2014), is protected by a Spanish and European patents: Crosetto, M. and Monserrat, O. (2012). “Método para monitorizar desplazamientos de terreno y de elementos creados por el hombre usando datos de radar de apertura sintética terrestre (GBSAR)”, Spanish patent 201031149. And Crosetto, M. and Monserrat, O. (2014). “A method for monitoring terrain and man-made feature displacements using Ground-Based Synthetic Aperture Radar (GBSAR) data”. European patent, application nº 11382216.7.
- GBSAR course, click here.
GBSAR discontinuous deformation monitoring of Canillo (Andorra).
M. Crosetto, O. Monserrat, G. Luzi, M. Cuevas, N. Devanthéry, A Noninterferometric Procedure for Deformation Measurement Using GB-SAR Imagery , IEEE Geoscience and Remote Sensing Letters, Vol. 11, No. 1, pp. 34-38, January 2014.
O. Monserrat, J. Moya, G. Luzi, M. Crosetto, J.A. Gili, J. Corominas. Non-interferometric GB-SAR measurement: application to the Vallcebre landslide (eastern Pyrenees, Spain). Natural Hazards and Earth System Sciences, 13(7), 1873. 2013.
O. Monserrat, M. Crosetto, G. Luzi, A review of ground-based SAR interferometry for deformation measurement , ISPRS Journal of Photogrammetry and Remote Sensing, Vol. 93, pp. 40-48, July 2014.