The paper will be focused on land deformation monitoring based on remotely sensed radar data and advanced differential interferometric SAR techniques (A-DInSAR). A-DInSAR techniques make used of large stacks of complex SAR images acquired over the same target area, and of advanced processing and analysis procedures to estimate the land deformation, separating the deformation signal from the phase contributions due to topography, atmosphere and noise. The capability of A-DInSAR to measure wide area deformation fields has been extensively documented in the literature of the last decade [1][2][3][4]. The A-DInSAR applications can be classified as follows:
Uncertainty analysis in advanced differential interferometric SAR processing / M. Crosetto, E. Biescas, O. Monserrat, M. Agudo, B. Crippa, G. Rossi - In: 2007 IEEE International Geoscience and Remote Sensing Symposium : 23-27 July, 2007, Barcelona, SpainPiscataway : IEEE, 2007. - ISBN 978-1-4244-1211-2. - pp. 1171-1173 (( convegno IEEE International Geoscience and Remote Sensing Symposium (IGARSS) tenutosi a Barcellona nel 2007.
Uncertainty analysis in advanced differential interferometric SAR processing
B. CrippaPenultimo
;
2007
Abstract
The paper will be focused on land deformation monitoring based on remotely sensed radar data and advanced differential interferometric SAR techniques (A-DInSAR). A-DInSAR techniques make used of large stacks of complex SAR images acquired over the same target area, and of advanced processing and analysis procedures to estimate the land deformation, separating the deformation signal from the phase contributions due to topography, atmosphere and noise. The capability of A-DInSAR to measure wide area deformation fields has been extensively documented in the literature of the last decade [1][2][3][4]. The A-DInSAR applications can be classified as follows:
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