63 Adding metadata and data source classification to produced netCDF files #68
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…sor_local_files_after fails it's test now as xarray or rioxarray seems to ignore the fact I have created a dataset not a dataArray
…a update the package init to reference version.py for the version information. update the processor self.instructions as default values are used.
… how these are read in to ensure rasterio doesn't add a 'band' coordinate. Also added some explicit garbage collection as the freeing of memory associated with netCDF files is not being done otherwise.
… destructor. Also replaced explicit loads of netCDF files with the destructors. Tidied up the two updated tests slightly too.
…ly combined and covers all classes.
…f the source classification to one of the tests.
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Kia ora @CyprienBosserelle - I've created this PR for moving to a more standard form of netCDF files, which hopefully is closer to both CF conventions and as well as the form we will ultimately want to achieve. Could you have a look at one or two of the new benchmark files and make sure you're happy with them (at least for now)!
The current data source classifications are:
The netCDF files now have a selection of standard and custom global attributes (source, title, description, geofabrics_instructions) and each variable also has a selection of standard and custom attributes (_FillValue, units, long_name, vertical_CRS (only z), classifications (only source_class)). I've not yet moved to writing grouped netCDF files with different resolutions (a trivial change - but will need to decide on a system for group names). I might save that till next time you or Alice need a high resolution patch. What do you think?
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* Added support for computing the mean, median, min, max, std, or pt count in addition to the iwd for a set of lidar points in a pixel. * Updated package version * updated test for adding lidar averaging options
Write out netCDF files with metdata linking it to a particular GeoFabrics version and instruction set. Also add a layer of information classifying the source of each pixel (i.e. LiDAR, ocean bathymetry, river bathymetry, reference DEM, interpolated, etc):