Hi, I was wondering if anyone has some advice on how to organize raster
data so that it is easily queryable by various attributes (e.g. find me all
the rasters of data type bathymetry, collected by this organization with
10m resolution or finer ). Currently we have data on a server organized
often by when/where it was collected but that can make it difficult to find
specific rasters that meet a certain criteria. I've created a table as a
csv file on github <https://github.com/ailich/WFS_Multibeam_Metadata> where
each row is a raster and it has various column attributes describing it
(e.g. who collected it, what sonar was used, resolution, coordinate system,
etc) and a path to the filename as a temporary solution, but I think some
type of spatial database that would allow for querying and then reading
into R as terra objects, as well as into QGIS and ArcGIS as layers for
visualization would be optimal as multiple project members use these data.
Tools I've come across that seem potentially useful include PostGIS and
Geopackage, but I'm not entirely sure how to properly set them up or if
they'd suit my needs. Any advice would be greatly appreciated.
Thanks,
Alex
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