:Author: Jinsongdi Yu (j.yu@jacobs-university.de) :Author: Michael Owonibi (o.michael@jacobs-university.de) :Author: Peter Baumann (p.baumann@jacobs-university.de) :Author: Dimitar Misev (d.misev@jacobs-university.de) :Version: osgeo-live6.0 :License: Creative Commons Attribution-ShareAlike 3.0 Unported (CC BY-SA 3.0) .. image:: ../../images/project_logos/logo-rasdaman.png :scale: 100 % :alt: project logo :align: right :target: http://www.rasdaman.org ******************************************************************************** rasdaman Quickstart ******************************************************************************** rasdaman is a raster server allowing queries on n-D raster data stored in a standard relational database. This Quick Start describes how to try out queries on a sandbox of raster objects. Before trying these examples, the rasdaman server has to be started (:menuselection:`Geospatial --> Databases --> Rasdaman --> Start Rasdaman Server`). Exploring the 1-D to 4-D examples ================================================================================ * Go to the EarthLook `Earthlook `_ demo to explore various demo data sets. The small ones are part of OSGeo-Live, those utilizing larger sets forward directly to the `Earthlook site `_ . Running queries locally ================================================================================ * Open a console and open the sample database installed locally * use the :command:`rasql` utility to send queries and receive results, for example:: $ rasql -q "select png((char)(c.red / (c.red + c.green) - c.green / (c.red + c.green)) > 0.6 * 255) from rgb AS c" --out file * use your favorite image inspection tool to open the file generated. Create your own database ================================================================================ * Open a console * `Download and install rasdaman `_ and `its prerequisites `_ * run the demo ingestion script:: $ install_demo.sh * use the :command:`rasql` utility to send queries and receive results, for example:: $ rasql -q "select png( NIR ) from NIR" --out file Things to Try: ================================================================================ Here are some additional challenges for you to try: * Explore the demo data sets by browsing the `rasql query language guide `_ * To learn more about the OGC `Web Coverage Processing Service `_ (WCPS) Language standard (which was heavily inspired by rasdaman), a starting point is the `documentation and tutorials page `_ .