Category Archives: GFOSS

GRASS GIS 7.4.2 released

We are pleased to announce the GRASS GIS 7.4.2 release

What’s new in a nutshell

After a bit more than four months of development the new update release GRASS GIS 7.4.2 is available. It provides more than 50 stability fixes and improvements compared to the previous stable version 7.4.1. An overview of the new features in the 7.4 release series is available at New Features in GRASS GIS 7.4.

Efforts have concentrated on making the user experience even better, providing many small, but useful additional functionalities to modules and further improving the graphical user interface. Segmentation now support extremely large raster maps. Dockerfile and Windows support received updates. Also the manual was improved. For a detailed overview, see the list of new features. As a stable release series, 7.4.x enjoys long-term support.

Binaries/Installer download:

Source code download:

More details:

See also our detailed announcement:

About GRASS GIS

The Geographic Resources Analysis Support System (https://grass.osgeo.org/), 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).

The GRASS Development Team, October 2018

Celebrating 35 years of GRASS GIS!

Today marks 35 years of GRASS GIS development – with frequent releases the project keeps pushing the limits in terms of geospatial data processing quality and performance.

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 map production, spatial modeling, and 3D visualization. Since the major GRASS GIS 7 version, it also comes with a feature rich engine for space-time cubes useful for time series processing of Landsat and Copernicus Sentinel satellite data and more. GRASS GIS can be either used as a desktop application or as a backend for other software packages such as QGIS and R. Furthermore, it is frequently used on HPC and cloud infrastructures for massive parallelized data processing.

Brief history
In 1982, under the direction of Bill Goran at the U.S. Army Corps of Engineers Construction Engineering Research Laboratory (CERL), two GIS development efforts were undertaken. First, Lloyd Van Warren, a University of Illinois engineering student, began development on a new computer program that allowed analysis of mapped data.  Second, Jim Westervelt (CERL) developed a GIS package called “LAGRID – the Landscape Architecture Gridcell analysis system” as his master’s thesis. Thirty five years ago, on 29 July 1983, the user manual for this new system titled “GIS Version 1 Reference Manual” was first published by J. Westervelt and M. O’Shea. With the technical guidance of Michael Shapiro (CERL), the software continued its development at the U.S. Army Corps of Engineers Construction Engineering Research Laboratory (USA/CERL) in Champaign, Illinois; and after further expansion version 1.0 was released in 1985 under the name Geographic Resources Analysis Support System (GRASS). The GRASS GIS community was established the same year with the first annual user meeting and the launch of GRASSnet, one of the internet’s early mailing lists. The user community expanded to a larger audience in 1991 with the “Grasshopper” mailing list and the introduction of the World Wide Web. The users’ and programmers’ mailing lists archives for these early years are still available online.
In the mid 1990s the development transferred from USA/CERL to The Open GRASS Consortium (a group who would later generalize to become today’s Open Geospatial Consortium — the OGC). The project coordination eventually shifted to the international development team made up of governmental and academic researchers and university scientists. Reflecting this shift to a project run by the users, for the users, in 1999 GRASS GIS was released under the terms of the GNU General Public License (GPL). A detailed history of GRASS GIS can be found at https://grass.osgeo.org/history/.

Where to next?
The development on GRASS GIS continues with more energy and interest than ever. Parallel to the long-term maintenance of the GRASS 7.4 stable series, effort is well underway on the new upcoming cutting-edge 7.6 release, which will bring many new features, enhancements, and cleanups. As in the past, the GRASS GIS community is open to any contribution, be it in the form of programming, documentation, testing, and financial sponsorship. Please contact us!

About GRASS GIS

The Geographic Resources Analysis Support System (https://grass.osgeo.org/), 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).

The GRASS Development Team, July 2018

PDAL 1.6.0 packaged for Fedora including vertical datums and grids

Cologne city shown as colorized 3D point cloud (data source: openNRW Germany)In order to simplify the installation of the latest PDAL release (Point Data Abstraction Library, http://www.pdal.io/, version 1.6.0) on Fedora, I have created an updated set of RPM packages now including vertical datums and grids (.gtx files from here).

The installation is as simple as this (the repository is located at Fedora’s COPR):

# enable extra repos to satisfy dependencies
sudo dnf copr enable neteler/pdal-hexer
sudo dnf copr enable neteler/points2grid

# install dependencies
sudo dnf install hexer
sudo dnf install points2grid

# enable and install PDAL
sudo dnf copr enable neteler/pdal
sudo dnf install PDAL PDAL-devel PDAL-vdatums

# run PDAL:
pdal-config --version
pdal --help

Enjoy!

GRASS GIS 7.2.2 released

GRASS GIS 7.2.2 in action

What’s new in a nutshell

After three months of development the new update release GRASS GIS 7.2.2 is available. It provides more than 120 stability fixes and manual improvements compared to release version 7.2.1. An overview of new features in the 7.2 release series is available at New Features in GRASS GIS 7.2.

About GRASS GIS 7: Its graphical user interface supports the user to make complex GIS operations as simple as possible. The updated Python interface to the C library permits users to create new GRASS GIS-Python modules in a simple way while yet obtaining powerful and fast modules. Furthermore, the libraries were again significantly improved for speed and efficiency, along with support for huge files. A lot of effort has been invested to standardize parameter and flag names. Finally, GRASS GIS 7 comes with a series of new modules to analyse raster and vector data, along with a full temporal framework. For a detailed overview, see the list of new features. As a stable release series, 7.2.x enjoys long-term support.

Binaries/Installer download:

Source code download:

More details:

See also our detailed announcement:

First time users may explore the first steps tutorial after installation.

About GRASS GIS

The Geographic Resources Analysis Support System (https://grass.osgeo.org/), 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).

The GRASS Development Team, Sep 2017

New major release: GRASS GIS 7.2.0 available

We are pleased to announce the stable release of GRASS GIS 7.2.0

What’s new in a nutshell

After almost two years of development the new stable major release GRASS GIS 7.2.0 is available. It provides more than 1950 stability fixes and manual improvements compared to the former stable release version 7.0.5. The new version includes a series of new modules to analyse raster and vector data along with new temporal algebra functionality.More than 50 new addons are also available. A summary of the new features is available at New Features in GRASS GIS 7.2.

About GRASS GIS 7: Its graphical user interface supports the user to make complex GIS operations as simple as possible. The updated Python interface to the C library permits users to create new GRASS GIS-Python modules in a simple way while yet obtaining powerful and fast modules. Furthermore, the libraries were again significantly improved for speed and efficiency, along with support for huge files. A lot of effort has been invested to standardize parameter and flag names. Finally, GRASS GIS 7 comes with a series of new modules to analyse raster and vector data, along with a full temporal framework. For a detailed overview, see the list of new features. As a stable release series, 7.2.x enjoys long-term support.

Binaries/Installer download:

Source code download:

More details:

See also our detailed announcement:

First time users may explore the first steps tutorial after installation.

About GRASS GIS

The Geographic Resources Analysis Support System (https://grass.osgeo.org/), 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).

The GRASS Development Team, December 2016

QGIS 2.6 ‘Brighton’ released

In the new release of QGIS 2.6.0 a series of new features have been added concerning

  • General: new features and bugfixes,
  • DXF export (improvements),
  • Map Composer (enhancements),
  • Processing (including a new modeler implementation),
  • QGIS Server (improvements),
  • Symbology (including user interface improvements),
  • User Interface with improvements.

A visual changelog is available for more details with lots of screenshots.

Congratulations to all QGIS developers! Looking forward to see the Fedora RPM available…

You can download QGIS 2.6 at http://qgis.org/en/site/forusers/download.html

50th ICA-OSGeo Lab established at Fondazione Edmund Mach (FEM)

We are pleased to announce that the 50th ICA-OSGeo Lab has been established at the GIS and Remote Sensing Unit (Piattaforma GIS & Remote Sensing, PGIS), Research and Innovation Centre (CRI), Fondazione Edmund Mach (FEM), Italy. CRI is a multifaceted research organization established in 2008 under the umbrella of FEM, a private research foundation funded by the government of Autonomous Province of Trento. CRI focuses on studies and innovations in the fields of agriculture, nutrition, and environment, with the aim to generate new sharing knowledge and to contribute to economic growth, social development and the overall improvement of quality of life.

The mission of the PGIS unit is to develop and provide multi-scale approaches for the description of 2-, 3- and 4-dimensional biological systems and processes. Core activities of the unit include acquisition, processing and validation of geo-physical, ecological and spatial datasets collected within various research projects and monitoring activities, along with advanced scientific analysis and data management. These studies involve multi-decadal change analysis of various ecological and physical parameters from continental to landscape level using satellite imagery and other climatic layers. The lab focuses on the geostatistical analysis of such information layers, the creation and processing of indicators, and the production of ecological, landscape genetics, eco-epidemiological and physiological models. The team pursues actively the development of innovative methods and their implementation in a GIS framework including the time series analysis of proximal and remote sensing data.

The GIS and Remote Sensing Unit (PGIS) members strongly support the peer reviewed approach of Free and Open Source software development which is perfectly in line with academic research. PGIS contributes extensively to the open source software development in geospatial (main contributors to GRASS GIS), often collaborating with various other developers and researchers around the globe. In the new ICA-OSGeo lab at FEM international PhD students, university students and trainees are present.

PGIS is focused on knowledge dissemination of open source tools through a series of courses designed for specific user requirement (schools, universities, research institutes), blogs, workshops and conferences. Their recent publication in Trends in Ecology and Evolution underlines the need on using Free and Open Source Software (FOSS) for completely open science. Dr. Markus Neteler, who is leading the group since its formation, has two decades of experience in developing and promoting open source GIS software. Being founding member of the Open Source Geospatial Foundation (OSGeo.org, USA), he served on its board of directors from 2006-2011. Luca Delucchi, focal point and responsible person for the new ICA-OSGeo Lab is member of the board of directors of the Associazione Italiana per l’Informazione Geografica Libera (GFOSS.it, the Italian Local Chapter of OSGeo). He contributes to several Free and Open Source software and open data projects as developer and trainer.

Details about the GIS and Remote Sensing Unit at http://gis.cri.fmach.it/

Open Source Geospatial Foundation (OSGeo) is a not-for-profit organisation founded in 2006 whose mission is to support and promote the collaborative development of open source geospatial technologies and data.

International Cartographic Association (ICA) is the world authoritative body for cartography and GIScience. See also the new ICA-OSGeo Labs website.

GFOSS DAY 2013 a Bologna: 10-11 Ottobre 2013

Dal 10 al 11 Ottobre 2013 si terrà a Bologna presso i laboratori della Scuola di Ingegneria e Architettura (V.le del Risorgimento, 2), e le sale conferenze della Regione Emilia-Romagna (V.le della Fiera, 8), la sesta conferenza italiana sul software geografico e sui dati geografici liberi (GFOSS DAY 2013).

Lo scopo principale della conferenza è quello di coinvolgere imprese, enti pubblici, scuole, università, centri di ricerca, sviluppatori, cittadini, operatori del settore ed appassionati dei temi del software libero geografico e degli open data.

Sarà inoltre possibile seguire in diretta streaming il convegno.

Registrati:

http://www.gfoss.it/drupal/gfossday2013/registrazione

La partecipazione alla conferenza è libera e gratuita ma è richiesta una registrazione (meglio anticipata) per consentire una migliore organizzazione dell’evento e garantire la stampa di badge e attestati.

L’accesso ai workshop è garantito fino al raggiungimento numero massimo di partecipanti.

Section 1. Programma

http://www.gfoss.it/drupal/gfossday2013/programma

Section 2. Sede della conferenza

http://www.gfoss.it/drupal/gfossday2013/locations

Parteciperete a #gfoss13? Ditelo al mondo!

Allegato Dimensione
Locandina_GFOSSDAY13.pdf 3.13 MB