A New Optimisation Tool for Automatic InSAR Time Series Processing with MasTer.
- 1European Center for Geodynamics and Seismology, 19 rue Josy Welter, L-7256 Walferdange, Gd Duchy of Luxembourg;
- 2National Museum of Natural History (NMNH), 19 rue Josy Welter, L-7256 Walferdange, Luxembourg
- 3Laboratorio de Estudio y Seguimiento de Volcanes Activos (LESVA), IIPG - Universidad Nacional de Rio Negro – CONICET, 1242 Av. General Roca, 8332, General Roca, Argentina
- 4Centre Spatial de Liège (CSL), Avenue du Pré Aily, B-4031 Angleur, Belgium
- 5Canada Centre for Mapping and Earth Observation, Natural Resources Canada (NRCAN), 560 Rochester Street, Ottawa, ON K1A 0E4, Canada
The increasing amount of SAR data available opens new challenges in terms of data storage management and processing load. Fully exploit those large databases requires the developement of automatic processing chains. The InSAR Mass processing Toolbox for Multidimensional time series (MasTer) is able to combine any type of SAR data to produce automatic unsupervised 2D ground deformation time series, from data download up to updated displaying of 2D time series results on a web page, updated incrementally as soon as a new image is available. We present our last methodological improvement based on the computation of a coherence proxy to guide a pair selection optimization, balancing the use of each image as master and slave. Whereas this new tool reduces the number of DInSAR interferograms computed by up to 75%, it also increases the signal to noise ratio of the time series by reducing the influence of DEM errors and atmospheric noise.
How to cite: Smittarello, D., d'Oreye, N., Derauw, D., Samsonov, S., and Jaspard, M.: A New Optimisation Tool for Automatic InSAR Time Series Processing with MasTer., EGU General Assembly 2021, online, 19–30 Apr 2021, EGU21-410, https://doi.org/10.5194/egusphere-egu21-410, 2021.
