Debian GIS Project
Summary
Remote sensing
Remote sensing and earth observation

Debian packages which are dealing with Remote Sensing (for instance Synthetic Aperture Radar -- SAR) processing (interferometry, polarimetry, data visualization, etc) and earth observation.

The list to the right includes various software projects which are of some interest to the Debian GIS Project. Currently, only a few of them are available as Debian packages. It is our goal, however, to include all software in Debian GIS which can sensibly add to a high quality Debian Pure Blend.

For a better overview of the project's availability as a Debian package, each head row has a color code according to this scheme:

If you discover a project which looks like a good candidate for Debian GIS to you, or if you have prepared an unofficial Debian package, please do not hesitate to send a description of that project to the Debian GIS mailing list

Links to other tasks

Debian GIS Remote sensing packages

Official Debian packages with high relevance

Dans-gdal-scripts
GDAL contributed tools by Geographic Information Network of Alaska
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Dan Stahlke's GDAL contributed tools are a collection of useful programs to perform common raster operations. The included tools are: gdal_contrast_stretch, gdal_dem2rgb, gdal_get_projected_bounds, gdal_landsat_pansharpi, gdal_list_corners, gdal_merge_simple, gdal_merge_vrt gdal_raw2geotiff, gdal_trace_outline, gdal_wkt_to_mask, gdal_make_ndv_mask.

Gdal-bin
Geospatial Data Abstraction Library - Utility programs
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GDAL is a translator library for raster geospatial data formats. As a library, it presents a single abstract data model to the calling application for all supported formats. The related OGR library (which lives within the GDAL source tree) provides a similar capability for simple features vector data.

GDAL supports 40+ popular data formats, including commonly used ones (GeoTIFF, JPEG, PNG and more) as well as the ones used in GIS and remote sensing software packages (ERDAS Imagine, ESRI Arc/Info, ENVI, PCI Geomatics). Also supported many remote sensing and scientific data distribution formats such as HDF, EOS FAST, NOAA L1B, NetCDF, FITS.

OGR library supports popular vector formats like ESRI Shapefile, TIGER data, S57, MapInfo File, DGN, GML and more.

This package contains utility programs, based on GDAL/OGR library, namely gdal_translate, gdalinfo, gdaladdo, gdalwarp, ogr2ogr, ogrinfo, ogrtindex.

The package is enhanced by the following packages: pktools
Libepr-api2-dev
ENVISAT Product Reader API for C - Development files
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The ENVISAT Product Reader API is a set of C-source code files supporting developers who want to use MERIS, AATSR, and ASAR data products of the ESA ENVISAT satellite in their software.

The main use case for the C API is the ingestion of ENVISAT data into

  • new scientific algorithms developed for the MERIS, AATSR or ASAR sensors or even all of them,
  • existing scientific software packages written in C or C++, or COTS software systems which allow for extension using a C or C++ interface.

This package contains development files (headers).

Libgdal1-dev
Geospatial Data Abstraction Library - Transitional package
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GDAL is a translator library for raster geospatial data formats. As a library, it presents a single abstract data model to the calling application for all supported formats. The related OGR library (which lives within the GDAL source tree) provides a similar capability for simple features vector data.

GDAL supports many popular data formats, including commonly used ones (GeoTIFF, JPEG, PNG and more) as well as the ones used in GIS and remote sensing software packages (ERDAS Imagine, ESRI Arc/Info, ENVI, PCI Geomatics). Also supported many remote sensing and scientific data distribution formats such as HDF, EOS FAST, NOAA L1B, NetCDF, FITS.

OGR library supports popular vector formats like ESRI Shapefile, TIGER data, S57, MapInfo File, DGN, GML and more.

This is a transitional dummy package that depends on libgdal-dev and is used to allow versioned build dependencies to work in any build environment.

Libossim-dev
OSSIM library -- development files
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Open Source Software Image Map (OSSIM) is a high performance engine for remote sensing, image processing, geographical information systems and photogrammetry. It has been actively developed since 1996.

Designed as a series of high performance software libraries, it is written in C++ employing the latest techniques in object-oriented software design.

The library provides advanced remote sensing, image processing, and geo-spatial functionality. A quick summary of OSSIM functionality includes ortho-rectification, precision terrain correction, rigorous sensor models, very large mosaics, and cross sensor fusions, a wide range of map projections anddatums, and a large range of commercial and government data formats. The architecture of the library supports parallel processing with mpi, a dynamic plugin architecture, and dynamically connectable objects allowing rapid prototyping of custom image processing chains.

This package includes the development files to build programs that use the OSSIM library.

Libossim1
OSSIM library -- shared library
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Open Source Software Image Map (OSSIM) is a high performance engine for remote sensing, image processing, geographical information systems and photogrammetry. It has been actively developed since 1996.

Designed as a series of high performance software libraries, it is written in C++ employing the latest techniques in object-oriented software design.

The library provides advanced remote sensing, image processing, and geo-spatial functionality. A quick summary of OSSIM functionality includes ortho-rectification, precision terrain correction, rigorous sensor models, very large mosaics, and cross sensor fusions, a wide range of map projections anddatums, and a large range of commercial and government data formats. The architecture of the library supports parallel processing with mpi, a dynamic plugin architecture, and dynamically connectable objects allowing rapid prototyping of custom image processing chains.

This package includes the OSSIM shared library.

Ossim-core
The OSSIM core utilities
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Open Source Software Image Map (OSSIM) is a high performance engine for remote sensing, image processing, geographical information systems and photogrammetry. It has been actively developed since 1996.

Designed as a series of high performance software libraries, it is written in C++ employing the latest techniques in object-oriented software design.

The library provides advanced remote sensing, image processing, and geo-spatial functionality. A quick summary of OSSIM functionality includes ortho-rectification, precision terrain correction, rigorous sensor models, very large mosaics, and cross sensor fusions, a wide range of map projections anddatums, and a large range of commercial and government data formats. The architecture of the library supports parallel processing with mpi, a dynamic plugin architecture, and dynamically connectable objects allowing rapid prototyping of custom image processing chains.

This package includes core tools that use the OSSIM library to perform some basic tasks.

Python-epr
Python ENVISAT Product Reader API (Python 2)
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PyEPR provides Python bindings for the ENVISAT Product Reader C API (EPR API) for reading satellite data from ENVISAT ESA (European Space Agency) mission.

PyEPR, as well as the EPR API for C, supports ENVISAT MERIS, AATSR Level 1B and Level 2 and also ASAR data products. It provides access to the data either on a geophysical (decoded, ready-to-use pixel samples) or on a raw data layer. The raw data access makes it possible to read any data field contained in a product file.

This is the Python 2 version of the package.

Python-gdal
Python bindings to the Geospatial Data Abstraction Library
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GDAL is a translator library for raster geospatial data formats. As a library, it presents a single abstract data model to the calling application for all supported formats. The related OGR library (which lives within the GDAL source tree) provides a similar capability for simple features vector data.

GDAL supports 40+ popular data formats, including commonly used ones (GeoTIFF, JPEG, PNG and more) as well as the ones used in GIS and remote sensing software packages (ERDAS Imagine, ESRI Arc/Info, ENVI, PCI Geomatics). Also supported many remote sensing and scientific data distribution formats such as HDF, EOS FAST, NOAA L1B, NetCDF, FITS.

OGR library supports popular vector formats like ESRI Shapefile, TIGER data, S57, MapInfo File, DGN, GML and more.

This package contains Python bindings for GDAL/OGR library and a set of additional command line tools.

Python-mipp
Meteorological data Ingest-Processing Package (mipp)
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It's main task is to convert low level satellite data into a format understood by mpop (http://github.com/mraspaud/mpop). The primary purpose is to support Geostationary satellite data (level 1.5) but there is also support for the reading of some polar orbiting SAR data.

A more sophisticated interface to satellite data objects is supported by mpop.

Currently it handles data from all current Meteosat Second Generation (MSG) satellites, Meteosat 7, GOES 11-15, MTSAT's, and GOMS, all a retrieved via EUMETCast.

In addition mipp handles Synthetic Apperture Radar (SAR) data from Terrscan-X, Cosmo-Sky Med, and Radarsat 2.

This package is part of the PyTroll toolset.

Python-pycoast
Draw coastlines, borders and rivers on images
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Pycoast is a Python package to add coastlines, borders and rivers to raster images using data from the GSHHS and WDBII datasets.

This package is part of the PyTroll toolset.

Python-pykdtree
Fast kd-tree implementation with OpenMP-enabled queries
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pykdtree is a kd-tree implementation for fast nearest neighbour search in Python. The aim is to be the fastest implementation around for common use cases (low dimensions and low number of neighbours) for both tree construction and queries.

The implementation is based on scipy.spatial.cKDTree and libANN by combining the best features from both and focus on implementation efficiency.

The interface is similar to that of scipy.spatial.cKDTree except only Euclidean distance measure is supported.

Queries are optionally multithreaded using OpenMP.

Python-pyorbital
Orbital and astronomy computations in Python
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Python package for computing orbital parameters from TLE files, and making diverse astronomical computations.

This package is part of the PyTroll toolset.

Python-pyresample
Resampling of remote sensing data in Python
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Pyresample is a Python package for resampling (reprojection) of earth observing satellite data. It handles both resampling of gridded data (e.g. geostationary satellites) and swath data (polar orbiting satellites).

Pyresample can use multiple processor cores for resampling. Pyresample supports masked arrays.

Official Debian packages with lower relevance

Nco
Command-line operators to analyze netCDF files
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NCO is a suite of programs known as operators. The operators are stand-alone, command-line programs executable in a POSIX shell. Operators take one or more netCDF files as input, perform operations (e.g., averaging, hyperslabbing), and produce a netCDF output file. NCO was originally designed to manipulate and analyze climate data, though it works on any netCDF format datasets.

Ncview
A X11 visual browser for NetCDF format files
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You would use ncview to get a quick and easy, push-button look at your NetCDF files. You can view simple movies of the data, view along various dimensions, take a look at the actual data values, change color maps, invert the data and other simple visual operations.

Netcdf-bin
Programs for reading and writing NetCDF files
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Contains the programs ncdump and ncgen which convert NetCDF files to ASCII and back, respectively. NetCDF (network Common Data Form) is an interface for scientific data access and a freely-distributed software library that provides an implementation of the interface. The netCDF library also defines a machine-independent format for representing scientific data. Together, the interface, library, and format support the creation, access, and sharing of scientific data.

Debian packages in contrib or non-free

Doris
Delft object-oriented radar interferometric software
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DORIS is an Interferometric Synthetic Aperture Radar (InSAR) processor developed by the Delft Institute of Earth Observation and Space Systems of Delft University of Technology.

Interferometric products and endproducts such as Digital Elevation Models and displacement maps can be generated with this software from Single Look Complex data. Data from the satellites ERS, ENVISAT (first ENVISAT interferogram, DEM, and perspective view, JERS (first JERS interferogram), and RADARSAT (first RADARSAT interferogram) can be processed with the Doris software.

Googleearth-package
utility to automatically build a Debian package of Google Earth
Maintainer: Adnan Hodzic
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Google Earth is a 3D planet viewer that lets you interactively navigate satellite imagery, maps, terrain, and so forth.

Google Earth is available for GNU/Linux from their web site, but is non-free software and is undistributable. It also does not integrate well into a Debian system.

This utility makes it possible to build your own personal Debian package of Google Earth. The packaging itself is Free Software, but the Google Earth program is governed by the copyright holder (Google), so you may be limited as to what you can do with the resulting package (i.e. no redistribution, etc). This package will simply help you create the package, it is your responsibility to use the resulting package responsibly.

Snaphu
Statistical-Cost, Network-Flow Algorithm for 2D Phase Unwrapping
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Two-dimensional phase unwrapping is the process of recovering unambiguous phase data from a 2-D array of phase values known only modulo 2pi rad.

There are many applications, like Magnetic Resonance Imaging (MRI), Synthetic Aperture Radar (SAR), fringe pattern analysis, tomography and spectroscopy, which as part of their fundamental operation depend upon the extraction of a phase signal from their input image. Usually the phase is available in a form that suffers from 2-pi phase jumps due to the use of the mathematical arctangent function, which produces an inherently wrapped output. This wrapped phase is unusable until the phase discontinuities are removed.

SNAPHU is an implementation of the Statistical-cost, Network-flow Algorithm for Phase Unwrapping particularly suitable for SAR interferometry applications. This algorithm poses phase unwrapping as a maximum a posteriori probability (MAP) estimation problem, the objective of which is to compute the most likely unwrapped solution given the observable input data. Because the statistics relating the input data to the solution depend on the measured quantity, SNAPHU incorporates three built-in statistical models, for topography data, deformation data, and smooth generic data. The posed optimization problem is solved approximately with use of network-flow techniques.

As SNAPHU uses an iterative optimization procedure, its execution time depends on the difficulty of the interferogram. In single-tile mode the required memory is on the order of 100 MB per 1,000,000 pixels in the input interferogram.

Debian packages in New queue (hopefully available soon)

Python-mpop
Meteorological Post-Processing Package (MPoP)
License: GPL-3
Version: 1.0.0-1

The Meteorological Post-Processing package is a Python library for generating RGB products for meteorological remote sensing. As such it can create RGB composites directly from satellite instrument channels, or take advantage of precomputed PGEs.

It is designed to be easily extendable to support any meteorological satellite by the creation of plugins. In the base distribution, it is provided support for Meteosat 7, 8, 9, MTSAT1R, MTSAT2, GOES 11, GOES 12, GOES 13 through the use of mipp, and Noaa 15, 16, 17, 18, 19, and Metop A through the use of aapp and ahamap.

Reprojection of data is also available through the use of the pyresample package.

This package is part of the PyTroll toolset.

Packaging has started and developers might try the packaging code in VCS

Gsdview - wnpp
Geo-Spatial Data Viewer open source edition
License: GPL-2
Debian package not available
Git
Version: 0.6.5-1

GSDView open source edition is a lightweight viewer for geo-spatial data and products written in Python and Qt4. GSDView is modular and has a simple plug-in architecture. It is mainly intended to be a graphical front-end for the GDAL library and tools.

Mapready
ASF Remote Sensing Tool Kit
License: non-free
Debian package not available
Git
Language: C
Version: 2.3.17-1

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, apply polarimetric decompositions to multi-pol SAR data, and save to several common imagery formats including GeoTIFF. Other software included in the package are an image viewer, metadata viewer, a projection coordinate converter, and a variety of command line tools.

Openev - wnpp
Application for viewing and analysing geospatial data
Responsible: Alex Bodnaru (Alex Bodnaru)
License: free
Debian package not available
Svn
Version: 1.9.0-cvs20051112-1

OpenEV is a library, and reference application for viewing and analysing raster and vector geospatial data. Objectives Run on popular platforms (Linux, Windows, Solaris, IRIX). Handle raster and vector data. Support 2d and 3d display. Gracefully handle very large (gigabyte) raster datasets. Support multi-channel, and complex raster datasets. Understand and interpret georeferencing information, and provide on-the-fly

  reprojection of datasets.
* Provide view manipulation functions (pan, zoom, rotate) at interactive frame
  rates.
* Provide a powerful image analysis tool.
  • Serve as a component in a variety of image analysis applications.
Otb-bin
ORFEO Toolbox command line applications
License: CeCILL
Git
Version: 4.0.0-2

ORFEO Toolbox (OTB) is distributed as an open source library of image processing algorithms. OTB is based on the medical image processing library ITK and offers particular functionalities for remote sensing image processing in general and for high spatial resolution images in particular.

This package contains the command line tools illustrating OTB features (using plugins provided by otb-bin-common package).

Otb-bin-qt
ORFEO Toolbox graphical user interface applications
License: CeCILL
Git
Version: 4.0.0-2

ORFEO Toolbox (OTB) is distributed as an open source library of image processing algorithms. OTB is based on the medical image processing library ITK and offers particular functionalities for remote sensing image processing in general and for high spatial resolution images in particular.

This package contains the GUI tools illustrating OTB features (using plugins provided by otb-bin-common package).

Polsarpro - wnpp
Polarimetric SAR Data Processing and Educational Tool
License: GPL-2.0
Debian package not available
Git
Language: C, Tcl/Tk
Version: 4.2.0+dfsg-1

The Polarimetric SAR Data Processing and Educational Tool aims to facilitate the accessibility and exploitation of multi-polarised SAR datasets including those from ESA Third Party Missions (ALOS PALSAR), Envisat ASAR Alternating Polarisation mode products, RADARSAT-2 and TerraSAR-X.

A wide-ranging tutorial and comprehensive documentation provide a grounding in polarimetry and polarimetric interferometry necessary to stimulate research and development of scientific applications that utilise such techniques; the toolbox of processing functions offers users the capability to implement them.

PolSARpro is developed under contract to ESA by a consortium comprising IETR at the University of Rennes 1, The Microwaves and Radar Institute (HR) of DLR and AEL Consultants, together with Dr Mark Williams. The initiative is a direct result of recommendations made at the POLInSAR Workshops held at ESRIN in January 2003, 2005 and 2007.

Unofficial packages built by somebody else

Adore-doris
Automated DORIS Environment
Responsible: Antonio Valentino
License: GPL-2
Language: bash, python

ADORE is a shell environment designed to simplify and streamline SAR interferometry with the DORIS InSAR processor. It is an attempt to simplify processing of different interferometric stacks like, single-master-stack, or short-baselines. It is highly configurable and provides sensible default options. Each DORIS step can be run individually.

Best
Basic Envisat SAR Toolbox
Responsible: Antonio Valentino
License: non-free (free for non-commercial applications)

BEST is a collection of executable software tools that has been developed to facilitate the use of ESA SAR data.

The purpose of the Toolbox is not to duplicate existing commercial packages, but to complement them with functions dedicated to the handling of SAR products obtained from the ASAR (Advanced Synthetic Aperture Radar) onboard Envisat and the AMIs (Active Microwave Instrument) onboard ERS 1/2.

Remark of Debian GIS team: binary only, re-distribution not allowed without authorization
Bestgui
A GUI front-end for BEST written in Python and GTK+
Responsible: Antonio Valentino
License: GPL-2
Language: Python

BEST (Basic Envisat SAR Toolbox) is a collection of executable software tools that has been designed to facilitate the use of ESA (the European Space Agency) SAR data. It operates according to user-generated parameters files.

BESTGUI allows you to easily generate the parameters files for the BEST tools and launch the processing from the GUI. It provides:

  • enhanced menus and toolbars
  • persistent preferences
  • smart environment handling
  • colorized output log
  • progress bars for processing completion
  • the ability of stopping a running task from the GUI (stop button)
  • a dialog for the AoI specification
  • output preview for all (and not only) the tools that have an image as output
Eolisa
Client for ESA Earth Observation Catalogue and Ordering Services
License: to be clarified
Language: Java

EOLi (Earth Observation Link) is the European Space Agency's client for Earth Observation Catalogue and Ordering Services. Using EOLi, you can browse the metadata and preview images of Earth Observation data acquired by the satellites ENVISAT, ERS, Landsat, IKONOS, DMC, ALOS, SPOT, Kompsat, Proba, JERS, IRS, Nimbus, NOAA, SCISAT, SeaStar, Terra/Aqua.

Scientific Users with a registered account can order or download products of various processing levels.

Getorb
Precise orbits interpolation utility
Responsible: Antonio Valentino
License: to be clarified
Language: Fortran

The software consists of a program lodr to list the content of the Orbital Data Records (ODRs), a subroutine library getorb.a that can be ported to some other program to interpolate the orbits and any given moment, and an example program getorb to demonstrate the use of the getorb.a library.

Imcorr
Program to do cross-correlation for motion tracking
License: GPL-2.0+
Language: C

IMCORR takes two images and a series of input parameters and attempts to match small subscenes (called 'chips') from the two images. The program uses a fast fourier transform based version of a normalized cross-covariance method.

The most common use of this type of algorithm in image processing is to accurately locate tie-point pairs in two images to coregister them. However, if the images are already coregistered by other means, the algorithm may be used to find the displacements of moving features, provided that the features show little change in their appearance, and that the motion is strictly translational.

The correlation, peak finding, and error estimation routines in IMCORR are derived from FORTRAN subroutines from the Land Analysis System software (LAS) written at NASA Goddard Space Flight Center and USGS Eros Data Center.

IMCORR consists of a C code wrapper which makes the use of the routines more straightforward and automated for velocity-mapping applications.

Opticks
Opticks is an open source remote sensing application and development framework
License: LGPL-2
Language: C, C++

Opticks is an expandable remote sensing and imagery analysis software platform that is free and open source. Unlike other competing tools, you can add capability to Opticks by creating an extension. Opticks provides the most advanced extension capability of any other remote sensing tool on the market.

Features:

  • Supports the following file formats: NITF 2.0/2.1, GeoTIFF, ENVI, ASPAM/PAR, CGM, DTED, Generic RAW, ESRI Shapefile, HDF5, AVI, MPEG, JPEG, GIF, PNG, BMP
  • Zoom, pan, rotate spatially large datasets
  • Quickly layer GIS features, annotations, results, and other information over your data to provide context
  • Many image display controls such as colormap, histogram, transparency, etc
  • Support for datasets larger than four gigabytes
  • Analysts can quickly combine steps using graphical wizards
  • Support for processing data in it's native interleave of BIP, BSQ or BIL
  • Get extensions to drop in new capability
Points2grid
Generates Digital Elevation Models using a local gridding method
License: BSD
Language: C++

Points2Grid generates Digital Elevation Models (DEM) using a local gridding method. The local gridding algorithm computes grid cell elevation using a circular neighbourhood defined around each grid cell based on a radius provided by the user. This neighbourhood is referred to as a bin, while the grid cell is referred to as a DEM node.

Up to four values - minimum, maximum, mean, or inverse distance weighted (IDW) mean - are computed for points that fall within the bin. These values are then assigned to the corresponding DEM node and used to represent the elevation variation over the neighbourhood represented by the bin. If no points are found within a given bin, the DEM node receives a value of null.

The Points2Grid service also provides a null filing option, which applies an inverse distance weighted focal mean via a square moving window of 3, 5, or 7 pixels to fill cells in the DEM that have null values.

No known packages available

Giant
Generic InSAR Analysis Toolbox
License: non-free (free for non-commercial applications)
Debian package not available
Language: Python

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

  1, Rapid generation of time-series products from interferogram.
  2. Direct comparison of time-series InSAR products using different
     algorithms.
  3. 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 weather model data for stratified troposphere corrections and GPS data for orbital error corrections.

Gmtsar
InSAR processing system for users familiar with GMT
License: GPL-3
Debian package not available
Language: C, csh

GMTSAR is an open source Interferometric SAR (Synthetic Aperture Radar) processing system designed for users familiar with Generic Mapping Tools (GMT). The code is written in C and will compile on any computer where GMT and NETCDF are installed. The system has three main components:

  1. a preprocessor for each satellite data type (e.g., ERS, Envisat,
     and ALOS) to convert the native format and orbital information
     into a generic format
  2. an InSAR processor to focus and align stacks of images, map
     topography into phase, and form the complex interferogram
  3. a postprocessor, mostly based on GMT, to filter the interferogram
     and construct interferometric products of phase, coherence, phase
     gradient, and line-of sight displacement in both radar and
     geographic coordinates.

GMT is used to display all the products as postscript files and KML images for Google Earth. A set of C-shell scripts has been developed for standard 2-pass processing as well as image alignment for stacking and time series. ScanSAR processing is also possible but requires a knowledgeable user.

Nest
Next ESA SAR Toolbox (NEST)
License: GPL-3
Debian package not available
Language: Java

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-2 and Cosmo-Skymed.

NEST helps the remote sensing community by supporting the handling of various SAR products and complimenting existing software packages. NEST has been built using the BEAM Earth Observation Toolbox and Development Platform and it covers the functionality of the older Basic Envisat SAR Toolbox BEST. NEST is currently undergoing development with periodic new releases. The major new functionality in NEST over BEST is an integrated viewer and orthorectification and mosaicking of SAR images.

NEST is extensible with an API that allows users to easily create their own plugin Readers, Processors and Writers. NEST is open source under the GNU General Public License (GNU GPL). If you are interested in contributing by developing a reader or writer for a product please contact us.

NEST is being developed by Array Systems Computing Inc. of Toronto Canada under ESA Contract number 20698/07/I-LG. InSAR functionalities are being developed by a joint effort of PPO.labs, Delft University of Technology and Array.

Remark of Debian GIS team: includes/uses the JAI package that is non-free
Pyaps
Tropospheric correction methods for SAR interferometry
License: non-free (free for non-commercial applications)
Debian package not available
Language: Python

PyAPS is a python implementation of stratified tropospheric correction methods using inputs from global atmospheric models (GAM).

The package currently works with ERA-Interim Reanalysis, NARR and MERRA data, but can be easily extended to support more weather models.

Python-bufr
Generic BUFR file reader written in python
Responsible: Antonio Valentino
License: GPL-3
Debian package not available
Language: Python

Generic Python BUFR file reader based on the ECMWF BUFR library. File support is similar to the ECMWF BUFR library and the package currently only supports read-only mode.

This module is part of the Pytroll project.

Roipac
Repeat Orbit Interferometry PACkage
License: non-free (licenses available at no charge for non-commercial use)
Debian package not available
Language: Fortran, Perl

ROI_PAC allows researchers in the area of topography and surface change to apply Interferometric Synthetic Aperture Radar (InSAR) methods.

InSAR is the synthesis of conventional SAR techniques and interferometry techniques that have been developed over several decades in radio astronomy and radar remote sensing, and in recent years has opened entirely new application areas for radar in the earth system sciences, including topographic mapping and geodesy [v. e.g., Thompson et al. 1986, Massonnet and Feigl 1998, Rosen et al. 2000].

ROI_PAC uses raw radar data, ancillary information from telemetry and navigation solutions, and digital elevation models (DEM; externally provided or interferometrically derived) to produce a variety of derived data products, including the full resolution images, interferograms, phase images measured as principal value and continuously "unwrapped," DEMs, and error estimates.

Varres
Variable Resolution Interferogram Resampler
License: non-free (free for non-commercial applications)
Debian package not available
Language: Python

The Varres package implements a curvature-based quadtree-like interferogram resampler.

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.

*Popularitycontest results: number of people who use this package regularly (number of people who upgraded this package recently) out of 171957