This website provides InSAR displacement time-series produced by the University of Miami Geodesy Laboratory, which is supported by NASA and the NSF. For InSAR stack processing, we use the stack processor (Fattahi et al., 2016) within ISCE software (Rosen et al., 2012) from JPL/Caltech for Sentinel-1 and for most other sensors a combination of ROI_PAC (Rosen et al., 2004) and the GAMMA software (Werner et al., 2000). For time series analysis, we use the MintPy software (Yunjun et al., 2019) developed at University of Miami.
Yunjun, Z., H. Fattahi, F. Amelung (2019), Small baseline InSAR time series analysis: Unwrapping error correction and noise reduction, Computers & Geosciences, 133, 104331, doi:10.1016/j.cageo.2019.104331.
This website was created by University of Miami Computer Science students Alfredo Terrero and Zishi Wu. It started as a class project of CSC 431, taught by Chris Mader and Julio Perez of the University of Miami’s Center for Computational Sciences (CCS). The data processing is conducted using the University of Miami’s High Performance Computing systems.
To access data sets which are not yet finalized, please login here:
For accessing the data products via web services, click here:
To see examples of how to embed maps into your own site, see: (Examples from Ecuador and Hawaii):
This website relies on Mapbox GL JS, which in turn relies on WebGL. As it stands, Google Chrome offers the best compatibility when browsing this site.
Download to Unavco InSAR data products to be implemented.
Processing report to be added.