The Next ESA SAR Toolbox (NEST) is a user friendly open source toolbox for reading, post-processing, analysing and visualising the large archive of data (from Level 1) from ESA SAR missions including ERS-1 & 2, ENVISAT and in the future Sentinel-1.
In addition, NEST supports handling of products from third party missions including JERS-1, ALOS PALSAR, TerraSAR-X, Radarsat-1 & 2 and COSMO-Skymed.
Converting and geocoding tools of the Alaska Satellite Facility (ASF):
Software in the MapReady Remote Sensing Tool Kit accepts level 1 detected SAR data, single look complex SAR data, and optical data from ASF and some other facilities. It can terrain correct, geocode, and save to several common imagery formats including GeoTIFF.
Polarimetric decompositions can be applied to multi-pol SAR data. Other software included in the package are an image viewer, metadata viewer, a projection coordinate converter, and a variety of command line tools.
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.
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 algorithms
- 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 atmospheric delay.
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.
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 interferometry.
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.
Global Self-consistent, Hierarchical, High-resolution Shoreline Database is a high-resolution shoreline data set amalgamated from two data bases (the CIA world database WDBII, and the World Vector Shoreline database) in the public domain.
The shorelines are constructed entirely from hierarchically arranged closed polygons.