2022 Saint Lucia Imagery 10cm from geoservices.govt.lc redistributed as covered under Government of St Lucia's Open Data Policy
Preview using https://source-cooperative.github.io/cog-viewer/.
This is a ~280GB Cloud-Optimised Geotiff, you may not want to download all of it.
Access in QGIS
Open a QGIS project.
- Go to Layer > Add Layer > Add Raster Layer
- Under Source Type, select "Protocol: HTTP(S), cloud, etc."
- Under Protocol, select Type as "HTTP/HTTPS/FTP"
- In the URI box, paste the URL:
https://data.source.coop/opsis-oxford/st-lucia-imagery-2022/orthophotography-2022.tif
- No authentication is needed
- Click "Add" to add the layer. It should load overviews at low zoom levels, and full detail up to the ~10cm native pixel resolution.
Access through GDAL
Use the vsicurl protocol with gdal commands, e.g.:
Should show metadata about the file.
Access in Python
Using, for example, rioxarray, xarray and dask, the data can be lazily loaded for distributed computation or subsetting, without materialising the full download:
Should output something like this (note the >400GB array size - this is lazily loaded!):