- Delft Object-oriented Radar Interferometric Software - InSAR/DInSAR
StaMPS stands for “Stanford Method for Persistent Scatterers”.
Although the original version was developed at Stanford University,
subsequent development has taken place at the University of Iceland and
Delft University of Technology.
The package is no longer limited to persistent scatterers,
but also incorporates a small baseline and a combined time series method.
- ADORE DORIS
- ADORE stands for Automated DORIS Environment. It is developed at the
University of Miami Geodesy Group, to help researchers generate
interferograms with ease. Just like DORIS it is an open source project
and it comes with the same license. ADORE can not do anything that
DORIS doesn’t, it’s only a simplified user interface.
GIAnT is a suite of Python libraries and scripts that implement
various published time-series InSAR algorithms in a common framework.
GIAnT was developed for:
- Rapid generation of time-series products from interferogram
- Direct comparison of time-series InSAR products using different
- Cal-Val for time-series InSAR
The toolbox currently includes implementations of SBAS, N-SBAS and
MInTS algorithms. The toolbox also includes support for using PyAPS
to correct stratified troposphere phase components and to use GPS
solutions if available to correct for orbital errors.
PyAPS is a python module that estimates differential phase delay maps
due to the stratified atmosphere for correcting radar interferograms.
It is based on Delaypackage originally written by Romain Jolivet for
estimating phase screens due to stratified atmosphere using ECMWF’s
ERA Interim reanalysis.
PyAPS includes support for ERA Interim, NARR and MERRA weather models.
PyAPS uses the humidity, pressure and temperature information from
meteorological models to estimate the dry and wet components of the
Varres is a variable resolution interferogram sampler that implements a
curvature-based quadtree like resampler for reducing unwrapped
interferometric phase to a smaller subset of observations.
Using the reduced set of observations which represent the non-redundant
observations in an unwrapped interferogram in modelling significantly
decreases computation cost.
Moroever, it can reduce bias due to uneven distribution of coherent
samples in the unwrapped interferogram.
The original matlab package has been extended to include support for
using a predefined map for resampling and estimation of an approximate
covariance matrix for the samples.
- Repeat Orbit Interferometry PACkage by Caltech/Jet Propulsion Laboratory,
mainly for interferometric SAR processing.
InSAR Deformation Inspection and Observation Tool (I.D.I.O.T.) is a software
package for fully automatic generation of differential SAR interferograms
from ENVISAT single look complex SAR data.
Its main purpose is to simplify as much as possible the generation of
differential SAR interferograms, even for complete novices in SAR
I.D.I.O.T. uses the freely available DEM of the SRTM mission to compensate
for topography and can work with both the coarse header orbits or precise
orbit information. All interferometric processing steps are implemented
having maximum interferogram quality and precision in mind.