Hello Rasdaman community, we wanted to share a project, the Historical Sea Ice Atlas for Alaska & the Arctic, which we completed earlier this year. It’s our first time using Rasdaman in a production environment, and we’re using it to deliver visualizations of long-term (1850-2017) Arctic sea ice conditions.
What made Rasdaman a great fit for us for this project (and more to come!) included:
We also use GeoServer and have used PostGIS Raster, but neither solution worked as well for us for the types of data we’re usually working with. GeoServer supports WMS-T but the configuration was challenging for us, and it didn’t provide the low-friction time series data queries via WCS that we get with Rasdaman’s capabilities. PostGIS Raster also had a difficult (for us) data import story, the query syntax felt less natural to us, and we didn’t understand how to configure a WMS against that datastore.
For us, Rasdaman is doing an excellent job filling a very particular role that is important for our team. We included the recommended citation for the Rasdaman DOI in the credits section of this app (in the footer!).
We’re already hard at work building a number of new applications against more complex datasets (multidimensional time series for future climate model projections).
Thank you all very much for this amazing tool!
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-- Dr. Peter Baumann - Executive Director, rasdaman GmbH Bremen (HRB 26793) https://rasdaman.com, mail: bau...@rasdaman.com tel: 0800-rasdaman, fax: 0800-rasdafax, mobile: +49-173-5837882 - Professor of Computer Science, Jacobs University Bremen https://www.faculty.jacobs-university.de/pbaumann mail: p.ba...@jacobs-university.de tel: +49-421-200-3178, fax: +49-421-200-493178 "A brilliant idea is a job halfdone."