gdal_cheatsheet

Frequently used GDAL (ogr2ogr) commands for spatial data processing.

Run on Docker on Windows:

$ docker run -v d:\test:/data  geodata/gdal ogr2ogr

Run on Docker on Mac/Linux:

$ docker run -v $(pwd):/data  geodata/gdal ogr2ogr

OGR2OGR

Convert CSV to GeoJSON

$ ogr2ogr -f geojson 190313_bomen.geojson -oo X_POSSIBLE_NAMES=longitude -oo Y_POSSIBLE_NAMES=latitude -oo KEEP_GEOM_COLUMNS=NO bomen_gisib_utrecht.csv

Convert WFS to GeoJSON

$ ogr2ogr -f GeoJSON footprints.geojson WFS:"http://geodata.nationaalgeoregister.nl/bag/wfs" bag:pand

Convert shape to GeoJSON

$ ogr2ogr -f GeoJSON output.geojsoninput.shp

Load GeoJSON to PostGIS

$ ogr2ogr -f "PostgreSQL" PG:"dbname=postgres user=postgres password=postgres" "./sample_Data/buildings_utrecht.geojson" -nln buildings_utrecht

Reproject from EPSG:4326 to EPSG:28992

$ ogr2ogr -f geojson reproj.geojson -t_srs EPSG:28992 190313_bomen.geojson

Sql query on csv file

$ ogrinfo -q data.csv -dialect sqlite -sql "SELECT distinct field_2, field_3 FROM data"

Spatial query

$ ogr2ogr -f geojson reproj1.geojson -spat 136356.6585 455832.7428 136922.3581 456107.1495 reproj.geojson

GDAL

GdalInfo on tif file

$ gdalinfo /data/i09bz13857.tif

GdalWarp on tif file

$ gdalwarp -t_srs EPSG:3857 /data/i09bz1.tif