GeoServer GRASS raster datastore

About

The GeoServer GRASS raster datastore makes it possible to use GRASS raster datastores as sources from within a GeoServer instance. This way it becomes very easy to publish GRASS data as web services through GeoServer.

The GeoServer GRASS raster datastore – what a name, suggestions for something more catchy welcome – was initially developed by the people from mundialis and terrestris.

Building from source

Prerequisites: Java 11 and maven 3.5

• build with mvn install
• copy into GeoServer's WEB-INF/lib to enable

Download

You can also download released versions from the terrestris nexus server.

Usage

In GRASS GIS, data are stored in a simple hierarchical directory structure consisting of GRASS “database” (directory with projects), “location(s)” (projects) and “mapset(s)” (subprojects). A “location” is defined by its coordinate reference system (CRS). Each “location” can have many “mapsets” for managing different aspects of a project or project's subregions. When creating a new Location, GRASS GIS automatically creates a special Mapset called PERMANENT where the core data for the project can be stored.

To access data, specific map files have to be specified:

• Raster data: you can create a datastore pointing to a single raster map by pointing the file to the map name in the GRASS mapset cellhd subdirectory.
• Raster time series: In this case, besides accessing the raster maps directly, you can also point the file to the SQLite database containing the time series information (found in tgis/sqlite.db inside the mapset containing the timeseries). Note: In case of a raster time series dataset you may get multiple layers in case you have multiple timeseries stored in the database. When publishing a layer, make sure to enable WMS-TIME-support by checking the box in the dimensions tab.

Contact

Please make sure to get in contact with us if you have feedback about this project or if you want to contribute. We're looking forward to hearing from you!

Acknowledgements

This work has been co-financed under Grant Agreement Connecting Europe Facility (CEF) Telecom project 2018-EU-IA-0095 by the European Union (https://ec.europa.eu/inea/en/connecting-europe-facility/cef-telecom/2018-eu-ia-0095).

This work has been partly developed as joint contribution of mundialis and terrestris to the mFUND project Anwenderfreundliche Bereitstellung von Klima- und Wetterdaten – FAIR.