NCO NetCDF Operators
The NCO toolkit manipulates and analyzes data stored in netCDF-accessible formats, including DAP, HDF4, and HDF5. It exploits the geophysical expressivity of many CF (Climate & Forecast) metadata conventions, the flexible description of physical dimensions translated by UDUnits, the network transparency of OPeNDAP, the storage features (e.g., compression, chunking, groups) of HDF (the Hierarchical Data Format), and many powerful mathematical and statistical algorithms of GSL (the GNU Scientific Library). NCO is fast, powerful, and free.
Processing
CEOS
SW and Tools Survey v1.0
Open Source
SAOCOM
Ancillary raster data (SMOS)
Mission Implementation Stage
GNU/Linux and Windows

PostGIS
PostGIS adds support for geographic objects to the PostgreSQL object-relational database. In effect, PostGIS ?spatially enables? the PostgreSQL server, allowing it to be used as a backend spatial database for geographic information systems (GIS), much like ESRI?s SDE or Oracle?s Spatial extension. PostGIS follows the OpenGIS ?Simple Features Specification for SQL? and has been certified as compliant with the ?Types and Functions? profile.
Other
CEOS
SW and Tools Survey v1.0
Open Source
Red Hat / Centos / Scientific Linux; Mac OSX; Windows; Ubuntu / Debian; OpenSUSE and SUSE
Refractions Research

Processing
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.
ASF MapReady
CEOS
SW and Tools Survey v1.0
Open Source
ALL
OPTICAL
Mission Operations Stage
Alaska Satellite Facility

NCO
The NCO toolkit manipulates and analyzes data stored in netCDF-accessible formats, including DAP, HDF4, and HDF5. It exploits the geophysical expressivity of many CF (Climate & Forecast) metadata conventions, the flexible description of physical dimensions translated by UDUnits, the network transparency of OPeNDAP, the storage features (e.g., compression, chunking, groups) of HDF (the Hierarchical Data Format), and many powerful mathematical and statistical algorithms of GSL (the GNU Scientific Library). NCO is fast, powerful, and free.
AQUA
AIRS
AMSR-E
MODIS
Aura
OMI
GPM
DPR
TOMS
SeaWiFS
TERRA
TRMM
Processing
SAC-D
NPP
HIRDLS
MLS
TES
Combined DPR + GMI
Aquarius
MISR
MOPITT
Combined
LIS
VIIRS
Mission Operations Stage,Post Mission Stage,Mission Operations Stage,Post Mission Stage,Mission Operations Stage,Post Mission Stage,Mission Operations Stage,Post Mission Stage
Windows, Linux, Mac OS X,Web User Interface
Charlie Zender

DORIS
The Delft Institute of Earth Observation and Space Systems of Delft University of Technology has developed an Interferometric Synthetic Aperture Radar (InSAR) processor named Doris (Delft object-oriented radar interferometric software). 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, JERS, and RADARSAT can be processed with the Doris software.
Envisat
SAR
ERS
RADARSAT
Mission Operations Stage
TUDelft - MGP Radar Group

This is a collection of codes in both ENVI/IDL and Python that accompanies the book of the same title. Written by Morton J. Canty in 2014, this collection introduces techniques used in the processing of remote sensing digital imagery. It emphasizes the development and implementation of statistically motivated, data-driven techniques. The author achieves this by tightly interweaving theory, algorithms, and computer codes. The material is self-contained and illustrated with many programming examples. The book covers both multispectral and polarimetric radar image analysis techniques in a way that makes both the differences and parallels clear and emphasizes the importance of choosing appropriate statistical methods. Each chapter concludes with exercises, some of which are small programming projects, intended to illustrate or justify the foregoing development, making this self-contained text ideal for self-study or classroom use.
Image Analysis, Classification and Change Detection in Remote Sensing
Other
Dr. Mort CantyJuelich

COMPASS
COMPASS (COrrectness, Modeling and Performance of AeroSpace Systems) is a toolset aiming to ensure system-level correctness, safety, dependability and performability of on-board computer-based aerospace systems. The COMPASS toolset provides an integrated model-based approach for System-Software Co-Engineering. It uses formal verification techniques, notably model checking, and originates from an ESA initiative dating back to 2008.
Visualisation
Mission Operations Stage
Windows, Linux, Mac OS X
RWTH Aachen University (Germany) and Fondazione Bruno Kessler (Italy)

Proba-V Toolbox
The Proba-V Toolbox for SNAP has been brought into life in order to support users to work with the data acquired by the Proba-V satellite. PROBA-V was developed as both a follow-up to the 15-year SPOT-VEGETATION mission, as well as a preparation for the recently launched ESA Sentinel-3 land and ocean observation satellite mission.SNAP and the Proba-V Toolbox are user tools which ESA/ESRIN and VITO Remote Sensing are providing free of charge to the Earth Observation Community. The Proba-V software is developed by Brockmann Consult under contract initiated by Dennis Clarijs (VITO).
Probas-V
VGT-P
Windows, Mac OS X, Unix
European Space Agency (ESA)

SAGA
SAGA is the abbreviation for System for Automated Geoscientific Analyses. It is a Geographic Information System (GIS) software and has been designed for an easy and effective implementation of spatial algorithms. It offers a comprehensive, growing set of geoscientific methods as well as providing an easily approachable user interface with many visualisation options.
Other
Windows, Linux
Dept. of Physical Geography, G?ttingen

Visualisation
The SAR Training Processor (STP) is a graphical tool written to assist in learning and teaching the flow of SAR processing.
ASF SAR Training Processor
ALL
SAR
Windows
Alaska Satellite Facility