Mogi model inversion in Python: magma depth and volume from InSAR at Svartsengi, Iceland
Invert Sentinel-1 InSAR for a volcanic source in Python: write Mogi point-source and Okada (1985) sill forward models in NumPy, downsample ascending and descending LOS maps with a quadtree, fit depth and volume change by weighted least squares with scipy.optimize, and estimate uncertainties with a Monte Carlo of correlated noise, compared with published results.