Markus Neteler

This session will focus on the very early days of the open source geospatial community, including GRASS, UMN MapServer, the first FOSS4G conference in Bangkok, and the establishment of OSGeo.

GRASS is an open source geoprocessing engine for efficient spatio-temporal data management, analysis, and modeling. The software comes with C / Python / R API, command line and graphical user interfaces.

This talk gives an overview of the current state of the GRASS GIS project for both users and developers. Latest version of GRASS includes even more tools parallelized using OpenMP to speed up massive data processing.

This workshop will give a short introduction to REST and cloud processing concepts, followed by an introduction to actinia and hands-on to explore the API. We will look at existing client implementations and finish with own exercises.

All of us involved in the creation and publication of large amounts of geodata are familiar with the complexities of data management. In the case of geodata created with GRASS GIS, we asked ourselves how they could be made accessible to GeoServer without duplication.

We will present and exemplify a subset of GRASS GIS toolsets for satellite imagery data processing and analysis in combination with other core modules and Add-ons in a workflow going from data download to supervised classification of different scenes and visualization of results.

This article is a work in progress report on the introduction and exploitation of persistent identifiers (PID) within the OSGeo Foundation and its software project communities.

Globally, the population living in urban areas is increasing with a strong impact on land use patterns, particularly on the availability and use of green spaces. The impact of green spaces is beneficial to health, for example, by reducing mortality or improving mental health.