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.
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.