This is a collection of information on PostgreSQL and PostGIS for what I tend to use most often.
gzagatti
/ raster_postgis.py
Last active
April 29, 2024 06:51
Loads raster data from POSTGIS directly to numpy.array using rasterio
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| import psycopg2 | |
| from rasterio.io import MemoryFile | |
| conn = pscopg2.connect("<connection string>") | |
| cur = conn.cursor() | |
| # ensure that the GTiff driver is available, | |
| # see https://postgis.net/docs/postgis_gdal_enabled_drivers.html | |
| cur.execute(''' | |
| SET postgis.gdal_enabled_drivers TO 'GTiff'; | |
| SELECT ST_AsGDALRaster(rast, 'GTiff') FROM raster.table; |
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| # extracted from http//www.naturalearthdata.com/download/110m/cultural/ne_110m_admin_0_countries.zip | |
| # under public domain terms | |
| country_bounding_boxes = { | |
| 'AF': ('Afghanistan', (60.5284298033, 29.318572496, 75.1580277851, 38.4862816432)), | |
| 'AO': ('Angola', (11.6400960629, -17.9306364885, 24.0799052263, -4.43802336998)), | |
| 'AL': ('Albania', (19.3044861183, 39.624997667, 21.0200403175, 42.6882473822)), | |
| 'AE': ('United Arab Emirates', (51.5795186705, 22.4969475367, 56.3968473651, 26.055464179)), | |
| 'AR': ('Argentina', (-73.4154357571, -55.25, -53.628348965, -21.8323104794)), | |
| 'AM': ('Armenia', (43.5827458026, 38.7412014837, 46.5057198423, 41.2481285671)), |