Summary

As a small, non-stationary data set with irregular acquisition geometry, the Madagascar satellite data has allowed us to gain some valuable insight into inversion pitfalls and challenges. By looking at the data-space residual, an error was discovered. The impact of this error on the boot-strapping process of choosing the appropriate filter (in this case, 637#637) to remove the shift between tracks was minimal.

The use of this data is still not fully exploited. By understanding how to estimate filters on the sparse tracks and use them to fill in the sparse area, we will better understand how to tackle similar problems that arise regularly in seismic map generation.