The GRASS GIS Development team has announced the release of the new major version GRASS GIS 7.0.0. This version provides many new functionalities including spatio-temporal database support, image segmentation, estimation of evapotranspiration and emissivity from satellite imagery, automatic line vertex densification during reprojection, more LIDAR support and a strongly improved graphical user interface experience. GRASS GIS 7.0.0 also offers significantly improved performance for many raster and vector modules: “Many processes that would take hours now take less than a minute, even on my small laptop!” explains Markus Neteler, the coordinator of the development team composed of academics and GIS professionals from around the world. The software is available for Linux, MS-Windows, Mac OSX and other operating systems.

Detailed announcement and software download:

The Geographic Resources Analysis Support System, commonly referred to as GRASS GIS, is an open source Geographic Information System providing powerful raster, vector and geospatial processing capabilities in a single integrated software suite. GRASS GIS includes tools for spatial modeling, visualization of raster and vector data, management and analysis of geospatial data, and the processing of satellite and aerial imagery. It also provides the capability to produce sophisticated presentation graphics and hardcopy maps. GRASS GIS has been translated into about twenty languages and supports a huge array of data formats. It can be used either as a stand-alone application or as backend for other software packages such as QGIS and R geostatistics. It is distributed freely under the terms of the GNU General Public License (GPL). GRASS GIS is a founding member of the Open Source Geospatial Foundation (OSGeo).

Nicolas Bozon and Gérald Fenoy have just announced the ZOO Kernel 1.0 release (MIT/X-11 style license). This release offers the ZOO API (also under MIT) and some sample ZOO services.

From the Web site at

ZOO is an on-going OWS (OGC Web Services) open source platform project. It provides a WPS compliant developer-friendly framework to create and chain OGC compliant webservices. The ZOO OWS platform is made of three parts:

  • ZOO Kernel : A powerful and extensible server-side C Kernel which makes it possible creating, managing and chaining geoprocessing operations.
  • ZOO Web Client: A Javascript webmapping API build on top of OpenLayers designed to communicate with the ZOO Kernel inputs/outputs.
  • ZOO Desktop Client: A Mozilla XULRunner based GIS desktop application able to execute WPS queries with both local and remote data.

Download of the ZOO Source code:

Some basic ZOO Documentation is already available on ZOO Kernel installation and ZOO services deployment on the website. Growing detailed documentation is available at:

ZOO also has a Twitter now!