Debian GIS Workstation packages

AVCE00 is a C library and group of tools that makes Arcinfo (binary) Vector Coverages appear as E00. It allows you to read and write binary coverages just as if they were E00 files.

E00compr is an ANSI C library that reads and writes Arcinfo compressed E00 files. Both "PARTIAL" and "FULL" compression levels are supported. E00 files are the vector import/export format for Arcinfo. It is plain ASCII and is meant as an interchange format. ESRI considers the format to be proprietary, so this package may not read all E00 files as ESRI may change the format.

This package is useful for importing E00 files into the grass GIS system.

It contains the e00conv command-line program, which takes a E00 file as input (compressed or not) and copies it to a new file with the requested compression level (NONE, PARTIAL or FULL). The library is not included at this stage.

Epsilon is C library for Wavelet based lossy image compression. Wavelet-driven compressors are know to be much more effective than traditional DCT-based ones (like JPEG).

At the moment, the program supports about 30 different wavelet filters, runs in parallel in multi-threaded and MPI environments, can process huge images and much more.

This package contains some useful tools to compress/uncompress images.

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.

GeographicLib is a small set of C++ classes for converting between geographic, UTM, UPS, MGRS, geocentric, and local cartesian coordinates, for geoid calculations, and for computing geodesic. It is a suitable replacement for the core functionality provided by NGA Geotrans.

This package contains some core tools based on the GeographicLib library.

GeoIP is a C library that enables the user to find the country that any IP address or hostname originates from. It uses a file based database.

This database simply contains IP blocks as keys, and countries as values and it should be more complete and accurate than using reverse DNS lookups.

This package contains the command line utilities to resolve the IP numbers using the GeoIP library.

This C library supports TIFF 6.0 based interchange format for georeferenced raster imagery. The GeoTIFF standard has been developed for reading, and writing geographic meta-information tags on top of TIFF raster.

The GeoTIFF library comes with two utility programs here included:

 listgeo - dumps the metadata of a GeoTIFF file.
 geotifcp - applies metadata to a TIFF file, making it a GeoTIFF file.

GMT is a collection of tools that allow users to manipulate (x,y) and (x,y,z) data sets (including filtering, trend fitting, gridding, projecting, etc.) and produce Encapsulated PostScript File (EPS) illustrations ranging from simple x-y plots through contour maps to artificially illuminated surfaces and 3-D perspective views in black and white, gray tone, hachure patterns, and 24-bit color.

GMT supports many common map projections plus linear, log, and power scaling, and comes with support data such as coastlines, rivers, and political boundaries.

A Tcl package that provides the means of creating and reading files in the ESRI Shapefile for keeping 2 or 3 dimensional points and polylines.

It was developed for use in GPSMan, a manager of GPS receiver data and is based on the shapelib module. Along with this package, gpstr2shp.c was also developed which translates GPStrans data files into Shapefile ones.

Grace is a point-and-click tool that allows the user to draw X-Y plots. This is the program formerly known as Xmgr.

A few of its features are: User defined scaling, tick marks, labels, symbols, line styles, colors, polynomial regression, splines, running averages, DFT/FFT, cross/auto-correlation, batch mode for unattended plotting, and hardcopy support for PostScript, FrameMaker and several image formats.

Commonly referred to as GRASS, this is a Geographic Information System (GIS) used for geospatial data management and analysis, image processing, graphics/map production, spatial modeling, and visualization. GRASS is currently used in academic and commercial settings around the world, as well as by many government agencies and environmental consulting companies.

Install this virtual package to get a full GRASS system.

HDF5 (Hierarchical Data Format 5) is a file format for storing scientific data. These tools allow converting other formats to HDF5 and to visualize HDF5 files. They include:

• h5topng, which extracts a 2d slice of an HDF5 file and outputs a corresponding image in PNG format;
• h5totxt, which extracts 2d slices and outputs comma-delimited text (suitable for import into a spreadsheet);
• h5fromtxt, which converts simple text input into multi-dimensional numeric HDF5 datasets;
• h5fromh4, which converts HDF4 data to HDF5;
• h5tovtk, which converts HDF5 files to VTK files for visualization with VTK-aware programs;

HDF is a multi-object file format for storing and transferring graphical and numerical data mainly used in scientific computing. HDF supports several different data models, including multidimensional arrays, raster images, and tables. Each defines a specific aggregate data type and provides an API for reading, writing, and organizing the data and metadata. New data models can be added by the HDF developers or users.

This package includes some basic utilities to view, pack, unpack, HDF files.

Hierarchical Data Format 5 (HDF5) is a file format and library for storing scientific data. HDF5 was designed and implemented to address the deficiencies of HDF4.x. It has a more powerful and flexible data model, supports files larger than 2 GB, and supports parallel I/O.

This package contains runtime tools for HDF5.

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 package contains the files needed to develop a software that will use the GDAL/OGR (headers, static objects, configuration script).

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. This extension provides access to GRASS data via GDAL.

This package provides the GDAL GRASS plugin.

One location on the globe, in any coordinate system. Geo::Point tries to hide the maths and the coordinate system in which the point is represented.

One of the most confusing things when handling geometrical data, is that sometimes latlong, sometimes xy are used: horizontal and vertical organization reversed. This package tries to hide this from your program by providing abstract accessors latlong(), longlat(), xy(), and yx().

This package provides the following modules:

• Geo::Line - a sequence of connected points
• Geo::Point - a point on the globe
• Geo::Proj - simplified wrapper for Geo::Proj4
• Geo::Shape - base class for 2-dimensional points on the earth surface
• Geo::Space - A collection of various items
• Geo::Surface - A surface description

GeographicLib is a small set of C++ classes for converting between geographic, UTM, UPS, MGRS, geocentric, and local cartesian coordinates, for geoid calculations, and for computing geodesic. It is a suitable replacement for the core functionality provided by NGA Geotrans.

This package contains the files used to develop applications that use the GeographicLib library.

JTS is a java library which provides:

• an implementation of the spatial data model defined in the OGC Simple Features Specification for SQL (SFS)
• a complete, consistent, implementation of fundamental 2D spatial algorithms
• an explicit precision model, with algorithms that gracefully handle situations that result in dimensional collapse
• robust implementations of key computational geometric operations
• I/O in Well-Known Text format

libLAS is a C/C++ library for reading and writing ASPRS LAS versions 1.0, 1.1 and 1.2 data. The LAS format is a sequential binary format used to store data from sensors and as intermediate processing storage by some LiDAR-related applications. LiDAR (Light Detection and Ranging) is an optical remote sensing technology that measures properties of scattered light to find range and/or other information of a distant target. The prevalent method to determine distance to an object or surface is to use laser pulses.

This package contains the essential toolset to manage LiDAR data: lasinfo, lasmerge, las2las, las2txt, txt2las, las2ogr.

The Shapefile format is a working and interchange format promoted by ESRI for simple vector data with attributes. It is apparently the only file format that can be edited in ARCView 2/3, and can also be exported and imported in ArcGis.

This package includes the development files.

Mapnik is an OpenSource C++ toolkit for developing GIS (Geographic Information Systems) applications. At the core is a C++ shared library providing algorithms/patterns for spatial data access and visualization.

Essentially a collection of geographic objects (map, layer, datasource, feature, geometry), the library doesn't rely on "windowing systems" and is intended to work in multi-threaded environments

This package contains miscellaneous utilities distributed with mapnik:

shapeindex: program to creates file system based index for ESRI shape-files

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.

This package contains some useful tools based on the OGDI library

Chart Plotter and Navigational software program for use underway or as a planning tool. Developed by a team of active sailors using real world conditions for program testing and refinement. By default supports raster and vector formats like BSB and S63. Support for many other formats are available in plugins. Other plugins provides support for e. g., AIS, radar and weather maps. Application has language support in 20+ languages.

This package contains programs, libraries and some support files.

A portable, high level graphics toolkit for the development of high performance graphics applications such as flight simulators, games, virtual reality or scientific visualization. Providing an object orientated framework on top of OpenGL, it frees the developer from implementing and optimizing low level graphics calls, and provide many additional utilities for rapid development of graphics applications.

This package contains utilities and examples (binaries).

osgEarth is a scalable terrain rendering toolkit for OpenSceneGraph (OSG), an open source, high performance, 3D graphics toolkit. Just create a simple XML file, point it at your imagery, elevation, and vector data, load it into your favorite OSG application, and go! osgEarth supports all kinds of data and comes with lots of examples to help you get up and running quickly and easily.

This package contains binaries.

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 and datums, and a large range of commercial and government data formats. The architecture of the library supports parallel processing with mpi (not enabled), 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.

PDAL is a BSD licensed library for translating and manipulating point cloud data of various formats. PDAL can be used to read, write and translate point cloud data in many formats. Support is included for input files of LAS, LAZ, SBET, BPF, QFIT and others. PDAL can also read from and write to databases that support point cloud storage, including Oracle, Postgres and SQLite.

PDAL should not be confused with PCL (Point Cloud Library). PCL is a library specifically designed to provide algorithmic analysis and modification of point clouds. PDAL provides a limited interface to the facilities of PCL, but does not in general attempt to duplicate its capabilities.

This package contains the PDAL utilities.

Pktools is a collection of programs to perform operations, mostly on raster geolocated images. It heavily relies on the Geospatial Data Abstraction Library (GDAL) and OGR. The programs are similar to the GDAL tools (gdalinfo, gdal_translate, gdal_merge, ...) and some of the functionalities provided in pktools already exist in the GDAL tools.

All utilities in pktools use command line options and have a built in help. They include more than thirty binaries to edit, change, crop, classify, compare, dump, fill, enhance images and many other common operations useful in the remote sensing field of image analysis.

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".

This package contains the PostGIS userland binaries for importing and exporting shape and raster files: pgsql2shp, raster2pgsql, and shp2pgsql.

This script performs a network and time efficient comparison or synchronization of two possibly large tables on two PostgreSQL database servers, so as to detect inserted, updated or deleted tuples between these tables.

pprepair (planar partition repair) takes a set of polygons and ensures that they form a valid planar partition, made of valid polygons and having no gaps or overlaps. It can be used as a validator, telling of problems in individual polygons or in the planar partition, and also as an automatic repair tool, outputting a set of polygons that do form a valid planar partition.

prepair permits you to easily repair "broken" GIS polygons, and that according to the international standards ISO 19107. In brief, given a polygon stored in WKT, it automatically repairs it and gives you back a valid WKT. Automated repair methods can be considered as interpreting ambiguous or ill-defined polygons and giving a coherent and clearly defined output.

Proj and invproj perform respective forward and inverse transformation of cartographic data to or from Cartesian data with a wide range of selectable projection functions (over 100 projections).

Geod and invgeod perform geodesic (Great Circle) computations for determining latitude, longitude and back azimuth of a terminus point given a initial point latitude, longitude, azimuth and distance (direct) or the forward and back azimuths and distance between an initial and terminus point latitudes and longitudes (inverse).

This package provides the PROJ binary tools.

This library contains functions for handling affine transformations of the plane.

It can be used in georeferenced datasets to transfer image to world coordinates.

This is the Python 2 version of the library.

Descartes allows the usage of geometric objects as matplotlib paths and patches.

This is the Python 2 version of the library.

Fiona is a Python wrapper around the OGR vector data abstraction library. Fiona is designed to be simple and dependable. It focuses on reading and writing data in standard Python IO style and relies upon familiar Python types and protocols such as files, dictionaries, mappings, and iterators instead of classes specific to OGR. Fiona can read and write real-world data using multi-layered GIS formats and zipped virtual file systems and integrates readily with other Python GIS packages such as pyproj, Rtree, and Shapely.

This package provides the Python 2 API

This package is a utility library to work with geospatial links. It is an implementation of the Cat-Interop work described at https://wiki.osgeo.org/wiki/Cat-Interop

This package provides the Python 2 version of the library.

GeoPandas is a project to add support for geographic data to pandas objects. It currently implements GeoSeries and GeoDataFrame types which are subclasses of pandas.Series and pandas.DataFrame respectively. GeoPandas objects can act on shapely geometry objects and perform geometric operations.

GeoPandas geometry operations are cartesian. The coordinate reference system (crs) can be stored as an attribute on an object, and is automatically set when loading from a file. Objects may be transformed to new coordinate systems with the to_crs() method. There is currently no enforcement of like coordinates for operations, but that may change in the future.

This package contains the Python 2 version of the library.

Mapnik is an OpenSource C++ toolkit for developing GIS (Geographic Information Systems) applications. At the core is a C++ shared library providing algorithms/patterns for spatial data access and visualization.

Essentially a collection of geographic objects (map, layer, datasource, feature, geometry), the library doesn't rely on "windowing systems" and is intended to work in multi-threaded environments

This package contains the bindings for Python 2.

PDAL is a BSD licensed library for translating and manipulating point cloud data of various formats. PDAL can be used to read, write and translate point cloud data in many formats. Support is included for input files of LAS, LAZ, SBET, BPF, QFIT and others. PDAL can also read from and write to databases that support point cloud storage, including Oracle, Postgres and SQLite.

PDAL should not be confused with PCL (Point Cloud Library). PCL is a library specifically designed to provide algorithmic analysis and modification of point clouds. PDAL provides a limited interface to the facilities of PCL, but does not in general attempt to duplicate its capabilities.

This package contains the PDAL extension for Python 2.

PROJ performs cartographic transformations between geographic (lat/lon) and map projection (x/y) coordinates. It can also transform directly from one map projection coordinate system to another.

This is a Python binding to PROJ, it can receive coordinates as numpy arrays, Python arrays, lists or scalars. This module is optimized for numpy arrays.

PySAL is an open source library of spatial analysis functions written in Python intended to support the development of high level applications.

It is important to underscore what PySAL is, and is not, designed to do. First and foremost, PySAL is a library in the fullest sense of the word. Developers looking for a suite of spatial analytical methods that they can incorporate into application development should feel at home using PySAL. Spatial analysts who may be carrying out research projects requiring customized scripting, extensive simulation analysis, or those seeking to advance the state of the art in spatial analysis should also find PySAL to be a useful foundation for their work.

End users looking for a user friendly graphical user interface for spatial analysis should not turn to PySAL directly. Instead, they should consider projects like STARS and the GeoDaX suite of software products which wrap PySAL functionality in GUIs. At the same time, it's expected that with developments such as the Python based plug-in architectures for QGIS, GRASS, and the toolbox extensions for ArcGIS, that end user access to PySAL functionality will be widening in the near future.

This package contains the pysal library for Python 2.

pyspatialite is an interface to the SQLite 3.x embedded relational database engine with spatialite extensions.

It is almost fully compliant with the Python database API version 2.0 and also exposes the unique features of SQLite and spatialite.

This package contains the pyspatialite module for Python 2.

Rasterio reads and writes geospatial raster datasets.

Rasterio employs GDAL under the hood for file I/O and raster formatting. Its functions typically accept and return Numpy ndarrays. Rasterio is designed to make working with geospatial raster data more productive and more fun.

This package contains the Python 2 version of the library.

Shapely is a package for manipulation and analysis of 2D features. Its capabilities include:

• calculating the point set unions, intersections, or differences of features
• predicate tests on features: intersects, touches, contains, and more.

Supported geometric types are points, line strings, linear rings, polygons, and homogeneous or heterogeneous collections thereof.

This is the Python 2 version of the package.

This library parses S-expressions using numpy. Available function include arithmetic and logical operators. Also members of the numpy module such as "asarray()", "mean()" and "where" are available.

This package provides the Python 2 version of the package.

Stetl, streaming ETL, pronounced "staedl", is a lightweight ETL-framework for the conversion of rich (as GML) geospatial data conversion.

It basically glues together existing parsing and transformation tools like GDAL/OGR (ogr2ogr) and XSLT. By using native tools like libxml and libxslt (via Python lxml) Stetl is speed-optimized.

Stetl has a similar design as Spring (Java) and other modern frameworks based on IoC (Inversion of Control). A configuration file (in Python config format) specifies your chain of ETL steps. This chain is formed by a series of Python modules/objects and their parameters. These are symbolically specified in the config file. You just invoke etl.py the main program with a config file. The config file specifies the input modules (e.g. PostGIS), transformers (e.g. XSLT) and outputs (e.g. a GML file or even WFS-T a geospatial protocol to publish GML to a server).

This package contains the module for Python 2.

This library contains functions for handling affine transformations of the plane.

It can be used in georeferenced datasets to transfer image to world coordinates.

This is the Python 3 version of the library.

Fiona is a Python wrapper around the OGR vector data abstraction library. Fiona is designed to be simple and dependable. It focuses on reading and writing data in standard Python IO style and relies upon familiar Python types and protocols such as files, dictionaries, mappings, and iterators instead of classes specific to OGR. Fiona can read and write real-world data using multi-layered GIS formats and zipped virtual file systems and integrates readily with other Python GIS packages such as pyproj, Rtree, and Shapely.

This package provides the Python 3 API

Rasterio reads and writes geospatial raster datasets.

Rasterio employs GDAL under the hood for file I/O and raster formatting. Its functions typically accept and return Numpy ndarrays. Rasterio is designed to make working with geospatial raster data more productive and more fun.

This package contains the Python 3 version of the library.

Shapely is a package for manipulation and analysis of 2D features. Its capabilities include:

• calculating the point set unions, intersections, or differences of features
• predicate tests on features: intersects, touches, contains, and more.

Supported geometric types are points, line strings, linear rings, polygons, and homogeneous or heterogeneous collections thereof.

This is the Python 3 version of the package.

This library parses S-expressions using numpy. Available function include arithmetic and logical operators. Also members of the numpy module such as "asarray()", "mean()" and "where" are available.

This package provides the Python 3 version of the library.

A Geographic Information System (GIS) manages, analyzes, and displays databases of geographic information. QGIS supports shape file viewing and editing, spatial data storage with PostgreSQL/PostGIS, projection on-the-fly, map composition, and a number of other features via a plugin interface. QGIS also supports display of various georeferenced raster and Digital Elevation Model (DEM) formats including GeoTIFF, Arc/Info ASCII Grid, and USGS ASCII DEM.

librasterlite2 is an open source library that stores and retrieves huge raster coverages using a SpatiaLite DBMS.

It is intended to completely replace and supersede librasterlite. The two projects are completely unrelated: the unique similarity between both is just in covering the same identical application area.

This package contains command-line tools to use librasterlite2.

SAGA GIS (System for Automated Geoscientific Analyses) is a free and open source geographic information system used for editing and analysing spatial data. It includes a large number of modules for the analysis of vector (point, line and polygon), table, grid and image data. Among others the package includes modules for geostatistics, image classification, projections, simulation of dynamic processes (hydrology, landscape development) and terrain analysis. The functionality can be accessed through a GUI, the command line or by using the C++ API.

SaVi allows you to simulate satellite orbits and coverage, in two and three dimensions. SaVi is particularly useful for simulating satellite constellations such as Iridium and Globalstar.

SaVi can use Geomview, an optional but useful package, for 3D rendering.

The SpatiaLite extension enables SQLite to support spatial (geometry) data in a way conformant to OpenGis specifications, with both WKT and WKB formats.

Spatialite also includes Virtualshape and Virtualtext to enable accessing shapefiles and csv/text files as virtual tables.

This package contains tools useful to manage SQLite databases.

spatialite-gui is a Graphical User Interface (GUI) for SpatiaLite.

SpatiaLite is a SQLite extension that enables support of spatial (geometry) data in a way conformant to OpenGis specifications, with both WKT and WKB formats.

Spatialite also includes Virtualshape and Virtualtext to enable accessing shapefiles and csv/text files as virtual tables.

Stetl, streaming ETL, pronounced "staedl", is a lightweight ETL-framework for the conversion of rich (as GML) geospatial data conversion.

It basically glues together existing parsing and transformation tools like GDAL/OGR (ogr2ogr) and XSLT. By using native tools like libxml and libxslt (via Python lxml) Stetl is speed-optimized.

Stetl has a similar design as Spring (Java) and other modern frameworks based on IoC (Inversion of Control). A configuration file (in Python config format) specifies your chain of ETL steps. This chain is formed by a series of Python modules/objects and their parameters. These are symbolically specified in the config file. You just invoke etl.py the main program with a config file. The config file specifies the input modules (e.g. PostGIS), transformers (e.g. XSLT) and outputs (e.g. a GML file or even WFS-T a geospatial protocol to publish GML to a server).

This package contains the stetl utility.

Thuban can read geographic data in the shapefile format. Main features of thuban are the layer management and the possibility to navigate on the map, to control the visual appearance of objects, to identify and edit attributes by object selection and to print and export the resulting maps for further processing.

This package contains the thuban program and its libraries.

Total Open Station (TOPS for friends) is a free software program for downloading and processing data from total station devices.

This is a task which is usually done by proprietary, dedicated and Windows™-only software, but TOPS is different by nature, because:

• it is free software released under the GNU GPLv3 license;
• it works on any operating system, including mobile platforms like OpenMoko;
• it is designed to support as many devices and formats as possible, all within the same program, opposed to having one program per device.

Every model has its own quirks, but TOPS uses a modular structure and keeps the downloading of data logically separated from its processing, thus enabling exporting data to a variety of output formats, even at a later moment. Archiving of raw data is made easy by using plain text files.

Commonly referred to as GRASS, this is a Geographic Information System (GIS) used for geospatial data management and analysis, image processing, graphics/map production, spatial modeling, and visualization. GRASS is currently used in academic and commercial settings around the world, as well as by many government agencies and environmental consulting companies.

This package contains HTML documentation for the GRASS system.

Geo::Proj4 is a wrapper library around PROJ, a cartographic projection library, for easy use in Perl software.

The Open Source PROJ library converts between geographic coordinate systems. It is able to convert between geodetic latitude and longitude (LL, most commonly the WGS84 projection), into an enormous variety of other cartographic projections (XY, usually UTM).

This is a library for use with applications that want to parse, generate and operate on KML, a geo-data XML variant. It is an implementation of the OGC KML 2.2 standard. It is written in C++ and bindings are available via SWIG to Java and Python.

This package contains the required packages for Java applications.

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.

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.

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.

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.

This is a library for use with applications that want to parse, generate and operate on KML, a geo-data XML variant. It is an implementation of the OGC KML 2.2 standard. It is written in C++ and bindings are available via SWIG to Java and Python.

This package contains required extensions for Python applications.

NetCDF version 4 has many features not found in earlier versions of the library and is implemented on top of HDF5. This module can read and write files in both the new netCDF 4 and the old netCDF 3 format, and can create files that are readable by HDF5 clients. The API is modelled after Scientific.IO.NetCDF, and should be familiar to users of that module.

Most new features of netCDF 4 are implemented, such as multiple unlimited dimensions, groups and zlib data compression. All the new numeric data types (such as 64 bit and unsigned integer types) are implemented. Compound and variable length (vlen) data types are supported, but the enum and opaque data types are not. Mixtures of compound and vlen data types (compound types containing vlens, and vlens containing compound types) are not supported.

This package contains the netCDF 4 module for Python 2.

PySHP provides read and write support for the ESRI Shapefile format. The Shapefile format is a popular Geographic Information System vector data format created by ESRI.

This package contains the module for Python 2.x.

NetCDF version 4 has many features not found in earlier versions of the library and is implemented on top of HDF5. This module can read and write files in both the new netCDF 4 and the old netCDF 3 format, and can create files that are readable by HDF5 clients. The API is modelled after Scientific.IO.NetCDF, and should be familiar to users of that module.

Most new features of netCDF 4 are implemented, such as multiple unlimited dimensions, groups and zlib data compression. All the new numeric data types (such as 64 bit and unsigned integer types) are implemented. Compound and variable length (vlen) data types are supported, but the enum and opaque data types are not. Mixtures of compound and vlen data types (compound types containing vlens, and vlens containing compound types) are not supported.

This package contains the netCDF 4 module for Python 3.

s3d is a 3d network display server which can be used as 3d desktop environment.

This package provides a gps card application for s3d.

This C library supports TIFF 6.0 based interchange format for georeferenced raster imagery. The GeoTIFF standard has been developed for reading, and writing geographic meta-information tags on top of TIFF raster.

This package contains EPSG Geodetic Paramenters data files which can be used with standard projections. These data are useful to better dump geo-contents of many GeoTIFF files.

The goal of VTP is to foster the creation of tools for easily constructing any part of the real world in interactive, 3D digital form.

This goal will require a synergetic convergence of the fields of CAD, GIS, visual simulation, surveying and remote sensing. VTP gathers information and tracks progress in areas such as procedural scene construction, feature extraction, and rendering algorithms. VTP writes and supports a set of software tools, including an interactive runtime environment (VTP Enviro). The tools and their source code are freely shared to help accelerate the adoption and development of the necessary technologies.

Capaware! is conceived as a system of 3D terrain representation with multilayer representation of diverse types of resources capabilities and executed applications integration feature.

With OpenSceneGraph as the graphical engine, Capaware! enables the creation and modification of new layers of data through access to remote servers where they are. Moreover, the system can be completed with new features and programmed executables through the use of specific plugins. In this way we can gradually increase the power of the final system.