The CATE is a software environment for ingesting, operating on and visualising all ESA Climate Change Initiative data. The toolbox works by mashing ECV data into a Common Data Model.

If you have questions about R like how to download and install the software, or what the license terms are, please read our answers to frequently asked questions before you send an email.

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.

The SAR Training Processor (STP) is a graphical tool written to assist in learning and teaching the flow of SAR processing.

BEAM is a toolbox for viewing, analyzing and processing of remote sensing data.

The ESA Atmospheric Toolbox project (BEAT) aims to provide scientists with tools for ingesting, processing, and analyzing atmospheric remote sensing data. The project consists of several components, with the main components being CODA, HARP, and VISAN. These components are made available by means of several software packages. A full overview of the BEAT components and packages can be found below.

The Broadview Radar Altimetry Toolbox is a tool designed to use radar altimetry data. It is available in 32-bit and 64-bit versions for Windows, Mac OS X and Linux. The Broadview Radar Altimetry Tutorial and Toolbox is a joint project between ESA and CNES to develop an open source tool (GPL-3) freely available to all the altimetry community. The toolbox is able to: to read all altimetry data from official data centres, from ERS-1 and 2, Topex/Poseidon, Geosat Follow-on, Jason-1, Envisat, Jason-2, Cryosat and Sentinel-3, from Sensor Geophysical Data Record to gridded merged data to do some processing and computations to visualise the results

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CIMES-FISHEYE is a package of free programs for the analysis of hemispherical photographs (HP) of forest canopies, to extract key canopy attributes like solar radiation indices, leaf area index, canopy openness, etc. These programs offer a unique set of features for film and digital hemispherical photography: – Ability to process both grey-toned and classified images – A variety of algorithms to invert gap fraction data – Values for sky segments and overall values – Works on any range of zenith and azimuth view angles – Single photosites or whole plots (transects, grids, etc.) – Correction for slope (LAI and solar radiation) – Tools to account for foliage clumping – Spherical statistics for gap fraction distribution – PAR interception, sun-fleck dynamics.

Monitoring tropical deforestation and forest degradation with satellites can be an everyday activity for non-experts who support environmental conservation, forest management, and resource policy development. Through extensive observation of user needs, we developed CLASlite to assist governments, nongovernmental organizations, and academic institutions with high-resolution mapping and monitoring of forests with satellite imagery.

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.

3D point cloud and mesh processing software.

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.

MATLAB Active Learning Toolbox for Remote Sensing Image Classification, including: Semisupervised Manifold Alignment of Multimodal Remote Sensing Images, active set method, class-regularized optimal transport (python).

The Earth System Modeling Framework (ESMF) is software for building and coupling weather, climate, and related models.

The Earth observation Swath and Orbit Visualisation tool, ESOV provides the user with the means to visualise the instrument swaths of all ESA Earth Observation Satellites and assist in understanding where and when satellite measurements are made and ground contact is possible. The ESOV NG software is a free tool made available to any user involved in the ESA Earth Observation mission preparation. ESOV NG allows users to visualize and print Instrument swaths, Ground tracks, Zone coverages, Ground Station Visibility and to generate overpass table for generic Earth Observation LEO satellites.

Feature Data Objects: FDO Data Access Technology is an API for manipulating, defining and analyzing geospatial information regardless of where it is stored. FDO uses a provider-based model for supporting a variety of geospatial data sources, where each provider typically supports a particular data format or data store.

A database and GUI that supports operations for GIS and Remote Sensing processing and research.

FWTools is a set of Open Source GIS binaries for Windows (win32) and Linux (x86 32bit) systems produced by Frank Warmerdam. The kits are intended to be easy for end users to install and get going with. No fudzing with building from source, or having to collect lots of interrelated packages. FWTools includes OpenEV, GDAL, MapServer, PROJ.4 and OGDI as well as some supporting components.

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. It also comes with a variety of useful commandline utilities for data translation and processing. The related OGR library (which lives within the GDAL source tree) provides a similar capability for simple features vector data.

GNU Data Language (GDL) is a free/libre/open source incremental compiler compatible with IDL and to some extent with PV-WAVE. Together with its library routines it serves as a tool for data analysis and visualization in such disciplines as astronomy, geosciences and medical imaging.

GEOMS2 is a geostatistics and geosciences modeling software. Provides interface for grid (mesh), point, surface and data (non-spatial) objects. It has a 3D viewer and 2D plots using the well known Python engines Mayavi and Matplotlib. It has several functions to manipulate your data as well as provide univariate and multivariate analysis.

The GOCE User Toolbox GUT is a compilation of tools for the utilisation and analysis of GOCE Level 2 products. GUT supports applications in Geodesy, Oceanography and Solid Earth Physics.

GRASS GIS, commonly referred to as GRASS (Geographic Resources Analysis Support System), is a free and open source Geographic Information System (GIS) software suite used for geospatial data management and analysis, image processing, graphics and maps production, spatial modeling, and visualization. GRASS GIS is currently used in academic and commercial settings around the world, as well as by many governmental agencies and environmental consulting companies. It is a founding member of the Open Source Geospatial Foundation (OSGeo).

GeoDMA is a toolbox for integrating remote sensing imagery analysis methods with data mining techniques producing a user-centered, extensible, rich computational environment for information extraction and knowledge discovery over large geographic databases

A library of source code for computing in the fields of mathematics, graphics, image analysis, and physics. The engine also supports high-performance computing using general purpose GPU programming (GPGPU). SIMD code is also available using Intel Streaming SIMD Extensions (SSE).

This application allows you to visualize selected geophysical parameters. If you are new to this application, please see the Help page for a guide on how to use Giovanni. You may also visit the NASA GESDISC channel for a quick look at Giovanni features. Please register with Earthdata and login in order to gain full access to data and services within Giovanni.

HDF® supports n-dimensional datasets and each element in the dataset may itself be a complex object.

HDF® supports n-dimensional datasets and each element in the dataset may itself be a complex object.

HDFclean is a program for reprocessing images stored in the HDF file format (Hierarchical Data Format). Two types of processing may be selected: Fill Missing Pixels and Remove Stripes.

Integrated Land and Water Information System, ILWIS, the world’s most user-friendly integrated software with raster processing capabilities to work on remotely sensed satellite images and vector processing capabilities for making vector maps and countless spacial modeling abilities. Its fully integrated raster and vector approach and user-friendlyness make it particularly suitable for natural resources managers, field scientists, biologists, ecologists, etc., as well as for educators.

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.

ImageMagick is a software suite to create, edit, compose, or convert bitmap images. It can read and write images in a variety of formats (over 100) including DPX, EXR, GIF, JPEG, JPEG-2000, PDF, PNG Postscript, SVG, and TIFF. Use ImageMagick to resize, flip, mirror, rotate, distort, shear and transform images, adjust image colors, apply various special effects, or draw text, lines, polygons, ellipses and Bézier curves.

This researcher at University College London has a variety of packages available, including: Python bindings for the PROSAIL canopy reflectance model; Helper modules for dealing with satellite remote sensing observations for eoldas_ng; A tool for downloading EO data from archives; Gaussian Process emulators in Python; A python version of the DALEC ecosystem model; A data assimilation experiment with the DALEC ecosystem model; A data assimilation tool for land EO; tool for downloading MODIS data from the USGS repository; Generate a simple timeseries plot of remote sensing sensors; A radiative transfer model project to ascertain the influence of vegetation structure on the TOC SIF signal; The 2stream RT model; MERIS data analysis; Gradient-based optimization algorithms in Python; simulation of carbon, nitrogen & water dynamics on a daily time step; The SPA (Soil-Plant-Atmosphere) model of MWilliams et al.; Python ray tracing library; An Earth Observation Land Data Assimilation System (EO-LDAS); Python bindings for the semidiscrete RT model of Gobron et al.; Simultaneous perturbation stochastic approximation Python code; Morrris, Campolongo and others’ approach to sensitivity analysis of models;A python driver to run the JULES model.

KNIME Analytics Platform is the open source software for creating data science applications and services. Intuitive, open, and continuously integrating new developments, KNIME makes understanding data and designing data science workflows and reusable components accessible to everyone.

MMM-Py reads, analyzes, and displays three-dimensional national mosaicked reflectivity data produced by NOAA's National Severe Storms Laboratory (NSSL). MMM-Py can read MRMS mosaics from either their unique binary format or their converted NetCDF format; it can also read and properly interpret the current mosaic design (4 regional tiles) as well as mosaics produced prior to late July 2013 (8 tiles). The technology can easily stitch multiple tiles together to provide a larger regional or national picture of precipitating weather systems. Composites, horizontal/vertical cross-sections, and combinations thereof are easily displayed using as little as one line of code.

MapServer is an Open Source platform for publishing spatial data and interactive mapping applications to the web. Originally developed in the mid-1990’s at the University of Minnesota, MapServer is released under an MIT-style license, and runs on all major platforms (Windows, Linux, Mac OS X). MapServer is not a full-featured GIS system, nor does it aspire to be.

MicMac is a free open-source (Cecill-B licence) photogrammetric suite that can be used in a variety of 3D reconstruction scenarios. In aims mainly at professionnal or academic users but constant efforts are made to make it more accessible to the general public. One of MicMac strengths is its high degree of versatility. It can indeed be used in various fields : cartography, environment, industry, forestry, heritage, archaeology, etc. MicMac allows both the creation of 3D models and of ortho-imagery when appropriate. The software is suitable to every type of objects of any scale : from small object or statues with acquisition from the ground, to church, castle through drone acquisitions, to buildings, cities or natural areas through aerial or satellite acquisitions.

NCAR Command Language (NCL) is an interpreted language designed specifically for scientific data analysis and visualization. Both NCL and NCAR Graphics are released as one package in source code or pre-compiled binary format.

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.

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.

Non-Local framework for (Pol)(In)SAR denoising. NL-SAR is a general method that builds extended non-local neighborhoods for denoising amplitude, polarimetric and/or interferometric SAR images. These neighborhoods are defined on the basis of pixel similarity as evaluated by multi-channel comparison of patches. Several non-local estimations are performed and the best one is locally selected to form a single restored image with good preservation of radar structures and discontinuities.

The NASA Ames Stereo Pipeline (ASP) is a suite of free and open source automated geodesy and stereogrammetry tools designed for processing stereo imagery captured from satellites (around Earth and other planets), robotic rovers, aerial cameras, and historical imagery, with and without accurate camera pose information. It produces cartographic products, including digital elevation models (DEMs), ortho-projected imagery, 3D models, and bundle-adjusted networks of cameras. ASP's data products are suitable for science analysis, mission planning, and public outreach. The Stereo Pipeline is part of the NASA NeoGeography Toolkit.

OGDI is the Open Geographic Datastore Interface. OGDI is an application programming interface (API) that uses a standardized access methods to work in conjunction with GIS software packages (the application) and various geospatial data products. OGDI uses a client/server architecture to facilitate the dissemination of geospatial data products over any TCP/IP network, and a driver-oriented approach to facilitate access to several geospatial data products/formats.

OSSIM is a powerful suite of geospatial libraries and applications used to process imagery, maps, terrain, and vector data. The software has been under active development since 1996 and is deployed across a number of private, federal and civilian agencies.

The Open Data Cube (ODC) is a non-profit, open source project that was motivated by the need to better manage Satellite Data. This project was born out of the work done under the "Unlocking the Landsat Archive" and the Australian Geoscience Data Cube (AGDC) projects. The ODC has evolved to support interactive data science and scientific computing. ODC will always be 100% open source software, free for all to use and released under the liberal terms of the Apache 2.0 license. The Open Data Cube is developed on GitHub. For more informaiton on our governance approach, please see our Governance Document

OpenEV is a software library and application for viewing and analysing raster and vector geospatial data.

Opticks is an expandable remote sensing and imagery analysis software platform that is free and open source. If you are interested you can learn about the history of Opticks. If you’ve used commercial tools like: ERDAS IMAGINE, RemoteView, ENVI, or SOCET GXP, then you need to give Opticks a try. 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.

Orfeo ToolBox (OTB) is an open-source project for state-of-the-art remote sensing. It is developped by CNES in the frame of the ORFEO program.Built on the shoulders of the open-source geospatial community, it can process high resolution optical, multispectral and radar images at the terabyte scale. A wide variety of applications are available: from ortho-rectification or pansharpening, all the way to classification, SAR processing, and much more!

Probabilistic Patch-Based filter: Matlab/Mex software to perform iterative non-local filtering for reducing: additive white Gaussian noise or, multiplicative speckle noise, i.e Nakagami-Rayleigh distributions (NL-SAR). This work has been achieved by Charles Deledalle supervised by Florence Tupin and Loïc Denis. The aim was to adapt the Non-Local means (NL means) filter to SAR images. Then, an efficient filter as been designed, able to cope with non Gaussian noise, multi-dimensionnal images and especially to the various existing SAR images.

The combined PROSPECT leaf optical properties model and SAIL canopy bidirectional reflectance model, also referred to as PROSAIL, has been used for about sixteen years to study plant canopy spectral and directional reflectance in the solar domain. PROSAIL has also been used to develop new methods for retrieval of vegetation biophysical properties. It links the spectral variation of canopy reflectance, which is mainly related to leaf biochemical contents, with its directional variation, which is primarily related to canopy architecture and soil/vegetation contrast. This link is key to simultaneous estimation of canopy biophysical/structural variables for applications in agriculture, plant physiology, and ecology at different scales. PROSAIL has become one of the most popular radiative transfer tools due to its ease of use, general robustness, and consistent validation by lab/field/space experiments over the years.

Panoply plots geo-referenced and other arrays from netCDF, HDF, GRIB, and other datasets. With Panoply 4 you can: Slice and plot geo-referenced latitude-longitude, latitude-vertical, longitude-vertical, time-latitude or time-vertical arrays from larger multidimensional variables. Slice and plot "generic" 2D arrays from larger multidimensional variables. Slice 1D arrays from larger multidimensional variables and create line plots. Combine two geo-referenced arrays in one plot by differencing, summing or averaging. Plot lon-lat data on a global or regional map using any of over 100 map projections or make a zonal average line plot. Overlay continent outlines or masks on lon-lat map plots. Use any of numerous color tables for the scale colorbar, or apply your own custom ACT, CPT, or RGB color table. Save plots to disk GIF, JPEG, PNG or TIFF bitmap images or as PDF or PostScript graphics files. Export lon-lat map plots in KMZ format. Export animations as MP4 video or as a collection of invididual frame images. Explore remote THREDDS and OpenDAP catalogs and open datasets served from them.

The Polarimetric SAR Data Processing and Educational Tool aims to facilitate the accessibility and exploitation of multi-polarised SAR datasets. A wide-range of tutorials 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.

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.

PostGIS is a spatial database extender for PostgreSQL object-relational database. It adds support for geographic objects allowing location queries to be run in SQL.

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).

PROJ is a generic coordinate transformation software that transforms geospatial coordinates from one coordinate reference system (CRS) to another. This includes cartographic projections as well as geodetic transformations. Today PROJ supports more than a hundred different map projections and can transform coordinates between datums using all but the most obscure geodetic techniques.

PulseWaves is an open, vendor-neutral, stand-alone, LAS-compatible full waveform LiDAR standard. The latest PulseWaves version is 0.3 (revision 11) and a DLL for writing and reading is available (including sample programs). The PulseTools folder also contains the first six PulseTools pulseinfo.exe, pulseview.exe, pulse2pulse.exe, pulsezip.exe, pulsesort.exe, and pulseextract.exe can parse various full waveform LiDAR formats (e.g. LVIS, LAS 1.3 FWF, GeoLas Waveform, and PulseWaves).

QGIS is a professional GIS application that is built on top of and proud to be itself Free and Open Source Software (FOSS).

QGIS is a user friendly Open Source Geographic Information System (GIS) licensed under the GNU General Public License. QGIS is an official project of the Open Source Geospatial Foundation (OSGeo). It runs on Windows, MacOS X, Linux and Android, and supports numerous vector, raster, and database formats and functionalities.

R package for radiometric and topographic correction of satellite imagery. For processing of Landsat or other multispectral satellite imagery. Includes relative normalization, image-based radiometric correction, and topographic correction options.

Whether you work in a lab, in the field, or in an office, your team is probably drowning in a sea of documents, information and data. RAMADDA (the Repository for Archiving and MAnaging Diverse DAta) helps you organize your digital assets and provides deep support for managing, analyzing, and visualizing almost any type of data.

Synthetic Aperture Radar (SAR) Image Processing Toolbox for Python. Current capabilities include modeling the phase history for a collection of point targets as well as processing phase histories using the polar format, backprojection, and omega-k algorithms. Autofocusing can also be performed using the Phase Gradient Algorithm. The current version can interface with AFRL Gotcha and DIRSIG data as well as a data set provided by Sandia.

The Repeat Orbit Interferometry PACkage is used to process synthetic aperture radar data and produce differential interferograms. The package is managed by researchers at JPL and Caltech in conjunction with members of the scientific community.

The Remote Sensing and GIS software library (RSGISLib) is a collection of tools for processing remote sensing and GIS datasets. The tools are accessed using Python bindings or an XML interface.

A python library to process, calibrate and filter RADARSAT-2 SAR data.

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.

The Stanford Geostatistical Modeling Software (SGeMS) is an open-source computer package for solving problems involving spatially related variables. It provides geostatistics practitioners with a user-friendly interface, an interactive 3-D visualization, and a wide selection of algorithms.

Analysis and visualization of satellite image time series

The project SMOS Toolbox for SNAP (SMOS-Box) has been brought into life in order to support users of data acquired by ESA’s Soil Moisture and Ocean Salinity (SMOS) mission. SNAP and the SMOS-Box are user tools which ESA/ESRIN is providing free of charge to the Earth Observation Community. The SMOS-Box software is developed by Brockmann Consult under ESA contract initiated by Steven Delwart (ESTEC) and coordinated by Peter Regner (ESRIN).

SNAP is ESA’s SentiNel Application Platform. This contains a number of toolboxes for processing data from various platforms. The SNAP architecture is ideal for Earth Observation processing and analysis due to the following technological innovations: Extensibility, Portability, Modular Rich Client Platform, Generic EO Data Abstraction, Tiled Memory Management, and a Graph Processing Framework.

The SAR Ocean Processor is free software to extract ocean wind, wave and current from SAR data. The software was coded in ANSI-C language and is provided “as it is”, which means that the author of this program will not take any responsibility on its quality or accuracy. Currently, it only takes Radarsat-1 SLC (Single-Look Complex) data as an input. The output is designed to be easily accessible by ERMapper. SOP could be developed further to deal with various kind of SAR data or be made compatible with other remote-sensing data-handling software upon user’s sincere requests or by cooperative works such as algorithm developments, program coding, or obtaining in situ data.

SWAP (Soil, Water, Atmosphere and Plant) simulates transport of water, solutes and heat in unsaturated/saturated soils. The model is designed to simulate flow and transport processes at field scale level, during growing seasons and for long term time series. It offers a wide range of possibilities to address both research and practical questions in the field of agriculture, water management and environmental protection.

The SCIAMACHY Calibration and Extraction Tool SciaL1c is an application provided to the users of the SCIAMACHY Level 1b products. This application allows users to select specific calibrations to apply to Level 1b data, which are in the case of SCIAMACHY defined as not fully calibrated Level 0 channel information in combination with calculated calibration data. The generated Level 1c products are suitable for the user's particular applications.

The SENTINEL-1 Toolbox (S1TBX) consists of a collection of processing tools, data product readers and writers and a display and analysis application to support the large archive of data from ESA SAR missions including SENTINEL-1, ERS-1 & 2 and ENVISAT, as well as third party SAR data from ALOS PALSAR, TerraSAR-X, COSMO-SkyMed and RADARSAT-2. The various processing tools could be run independently from the command-line and also integrated within the graphical user interface. The Toolbox includes tools for calibration, speckle conversion, polarimetry and interferometry.

The Sentinel-2 Toolbox consists of a rich set of visualisation, analysis and processing tools for the exploitation of optical high-resolution products including the upcoming Sentinel-2 MSI sensor. As a multi-mission remote sensing toolbox, it also provides support for third party data from RapidEye, SPOT, MODIS (Aqua and Terra), Landsat (TM) and others.

The Sentinel-3 Toolbox consists of a rich set of visualisation, analysis and processing tools for the exploitation of OLCI and SLSTR data from the upcoming Sentinel-3 mission. As a multi-mission remote sensing toolbox, it also supports the ESA missions Envisat (MERIS & AATSR), ERS (ATSR), SMOS as well as third party data from MODIS (Aqua and Terra), Landsat (TM), ALOS (AVNIR & PRISM) and others. The various tools can be run from an intuitive desktop application or via a command-line interface. A rich application programming interface allows for development of plugins using Java or Python.

The main objective of the SmartHMA project is to develop and validate an open source operational platform architecture which implements a set of HMA standards in native Android client for access to EO Ground Segment data and services. The aim of the project is the development of a mobile application for discovery and distribution of EO data in the acceptable by tablet devices form and entirely based on OGC and HMA specifications. Implementation focuses on accessing the ESA Fedeo environment SmartHMA in form of open source software allows complementing the ESA RSS system environment and ESA Fedeo platform (http://wiki.services.eoportal.org/tiki-index.php?page=FEDEO).

Toolbox for Reducing Atmospheric InSAR Noise. One of the main challenges in InSAR processing is related to atmospheric delays, especially tropospheric delays. Different correction methods are applied today based on auxiliary data, including GNSS, weather models (e.g. ECMWF ERA-I, WRF, NARR, etc), spectrometer data (MERIS and MODIS), or combinations of different sources. Alternative methods exist to estimate the tropospheric delays from the radar data themselves. The success rate of the different techniques is dependant on multiple factors like temporal and spatial resolution, cloud cover, signal contamination, local topography, etc. Below we provide a set of MATLAB tools that can be use to correct for tropospheric delays in InSAR data.

General purpose GIS

R is a free software environment for statistical computing and graphics. It compiles and runs on a wide variety of UNIX platforms, Windows and MacOS. To download R, please choose your preferred CRAN mirror.

Topo-Grabber is a program that allows you to download USGS Topographic maps of the United States, including the lower 48-states, Alaska and Hawaii. You can use it to find and print topographic maps of any size, resolution or location in the United States. Topo-Grabber also provides black and white aerial photos for all the the United States and high resolution color photos for selected urban areas.