https://gdal.org/formats_list.html
Selected formats out of the more than 140 supported formats:
Long Format Name Code Creation Georeferencing Maximum file size ---------------------------------------------+-------------+----------+--------------+----------------- ADRG/ARC Digitilized Raster Graphics ADRG Yes Yes -- Arc/Info ASCII Grid AAIGrid Yes Yes 2GB Arc/Info Binary Grid (.adf) AIG No Yes -- Arc/Info Export E00 GRID E00GRID No Yes -- ArcSDE Raster SDE No Yes -- ASCII Gridded XYZ XYZ Yes Yes -- BSB Nautical Chart Format (.kap) BSB No Yes -- CEOS (Spot for instance) CEOS No No -- DB2 DB2 Yes Yes No limits DODS / OPeNDAP DODS No Yes -- EarthWatch/DigitalGlobe .TIL TIL No No -- ENVI .hdr Labelled Raster ENVI Yes Yes No limits Envisat Image Product (.n1) ESAT No No -- EOSAT FAST Format FAST No Yes -- Epsilon - Wavelet compressed images EPSILON Yes No -- Erdas 7.x .LAN and .GIS LAN No Yes 2GB ERDAS Compressed Wavelets (.ecw) ECW Yes Yes Erdas Imagine (.img) HFA Yes Yes No limits Erdas Imagine Raw EIR No Yes -- ERMapper (.ers) ERS Yes Yes ESRI .hdr Labelled EHdr Yes Yes No limits EUMETSAT Archive native (.nat) MSGN No Yes FIT FIT Yes No -- FITS (.fits) FITS Yes No -- Fuji BAS Scanner Image FujiBAS No No -- GDAL Virtual (.vrt) VRT Yes Yes -- Generic Binary (.hdr Labelled) GENBIN No No -- GeoPackage GPKG Yes Yes No limits Geospatial PDF PDF Yes Yes -- GMT Compatible netCDF GMT Yes Yes 2GB Golden Software Surfer 7 Binary Grid GS7BG Yes Yes 4GiB Graphics Interchange Format (.gif) GIF Yes No 2GB GRASS Raster Format GRASS No Yes -- GSat File Format GFF No No -- Hierarchical Data Format Release 4 (HDF4) HDF4 Yes Yes 2GiB Hierarchical Data Format Release 5 (HDF5) HDF5 No Yes 2GiB Idrisi Raster RST Yes Yes No limits ILWIS Raster Map (.mpr,.mpl) ILWIS Yes Yes -- Image Display and Analysis (WinDisp) IDA Yes Yes 2GB In Memory Raster MEM Yes Yes Intergraph Raster INGR Yes Yes 2GiB IRIS IRIS No Yes -- Japanese DEM (.mem) JDEM No Yes -- JAXA PALSAR Product Reader (Level 1.1/1.5) JAXAPALSAR No No -- JPEG2000 (.jp2, .j2k) JP2OpenJPEG Yes Yes JPEG JFIF (.jpg) JPEG Yes Yes 4GiB KMLSUPEROVERLAY KMLSUPEROVERLAY Yes Yes MBTiles MBTiles Yes Yes -- Meta Raster Format MRF Yes Yes -- Meteosat Second Generation MSG No Yes MG4 Encoded Lidar MG4Lidar No Yes -- Microsoft Windows Device Independent Bitmap BMP Yes Yes 4GiB Military Elevation Data (.dt0, .dt1, .dt2) DTED Yes Yes -- Multi-resolution Seamless Image Database MrSID No Yes -- NASA Planetary Data System PDS No Yes -- NetCDF netCDF Yes Yes 2GB Netpbm (.ppm,.pgm) PNM Yes No No limits NITF NITF Yes Yes 10GB NLAPS Data Format NDF No Yes No limits NOAA NGS Geoid Height Grids NGSGEOID No Yes NOAA Polar Orbiter Level 1b Data Set (AVHRR) L1B No Yes -- OGC Web Coverage Service WCS No Yes -- OGC Web Map Service, and TMS, WorldWind, On EaWMS No Yes -- OGC Web Map Tile Service WMTS No Yes -- OGDI Bridge OGDI No Yes -- Oracle Spatial GeoRaster GEORASTER Yes Yes No limits OziExplorer .MAP MAP No Yes -- OZI OZF2/OZFX3 OZI No Yes -- PCI Geomatics Database File PCIDSK Yes Yes No limits PCRaster PCRaster Yes Yes Planet Labs Mosaics API PLMosaic No Yes -- Portable Network Graphics (.png) PNG Yes No PostGIS Raster (previously WKTRaster) PostGISRaster No Yes -- RadarSat2 XML (product.xml) RS2 No Yes 4GB Rasdaman RASDAMAN No No No limits Rasterlite - Rasters in SQLite DB Rasterlite Yes Yes -- Raster Product Format/RPF (CADRG, CIB) RPFTOC No Yes -- R Object Data Store R Yes No -- ROI_PAC Raster ROI_PAC Yes Yes -- R Raster (.grd) RRASTER No Yes -- SAGA GIS Binary format SAGA Yes Yes -- SAR CEOS SAR_CEOS No Yes -- Sentinel 1 SAR SAFE (manifest.safe) SAFE No Yes No limits Sentinel 2 SENTINEL2 No Yes No limits SGI Image Format SGI Yes Yes -- SRTM HGT Format SRTMHGT Yes Yes -- TerraSAR-X Complex SAR Data Product COSAR No No -- TerraSAR-X Product TSX Yes No -- TIFF / BigTIFF / GeoTIFF (.tif) GTiff Yes Yes 4GiB/None for BigTIFF USGS ASCII DEM / CDED (.dem) USGSDEM Yes Yes -- USGS Astrogeology ISIS cube (Version 3) ISIS3 No Yes -- USGS SDTS DEM (*CATD.DDF) SDTS No Yes -- Vexcel MFF MFF Yes Yes No limits VICAR VICAR No Yes -- VTP Binary Terrain Format (.bt) BT Yes Yes -- WEBP WEBP Yes No -- WMO GRIB1/GRIB2 (.grb) GRIB No Yes 2GB
If the user wishes to ignore the difference between the apparent coordinate system of the source data and the current project, they may pass the -o flag to override the CRS check.
If the user wishes to import the data with the full CRS definition, it is possible to have r.in.gdal automatically create a new project based on the CRS and extents of the file being read. This is accomplished by passing the name to be used for the new project via the project parameter. Upon completion of the command, a new project will have been created (with only a PERMANENT mapset), and the raster will have been imported with the indicated output name into the PERMANENT mapset.
The target option allows you to automatically re-project the GCPs from their own CRS into another CRS read from the PROJ_INFO file of the project name target.
If the target project does not exist, a new project will be created matching the CRS definition of the GCPs. The target of the output group will be set to the new project, and i.rectify can now be used without any further preparation.
Some satellite images (e.g. NOAA/AVHRR, ENVISAT) can contain hundreds or thousands of GCPs. In these cases thin plate spline coordinate transformation is recommended, either before import with gdalwarp -tps or after import with i.rectify -t.
The num_digits parameter allows defining the number of leading zeros (zero padding) in case of band numbers (e.g., to turn band.1 into band.001).
The r.in.gdal command does support the following features, as long as the underlying format driver supports it:
Planned improvements to r.in.gdal in the future include support for reporting everything known about a dataset if the output parameter is not set.
gdalwarp rotated.tif northup.tif
"ERROR: Coordinate reference system of dataset does not appear to match the current project."
You need to create a project whose CRS matches the data you
wish to import. Try using project parameter to create a new
project based upon the CRS information in the file. If desired,
you can then reproject it to another project with r.proj.
Alternatively you can override this error by using the -o flag.
"WARNING: G_set_window(): Illegal latitude for North"
Latitude/Longitude projects in GRASS can not have regions which exceed
90° North or South. Non-georeferenced imagery will have coordinates
based on the images's number of pixels: 0,0 in the bottom left; cols,rows
in the top right. Typically imagery will be much more than 90 pixels tall
and so the GIS refuses to import it. If you are sure that the data is
appropriate for your Lat/Lon project and intend to reset the map's
bounds with the r.region module directly after import you may
use the -l flag to constrain the map coordinates to legal values.
While the resulting bounds and resolution will likely be wrong for your
map the map's data will be unaltered and safe. After resetting to known
bounds with r.region you should double check them with
r.info, paying special attention to the map resolution. In most
cases you will want to import into the datafile's native CRS, or
into a simple XY project and use the Georectifaction tools
(i.rectify et al.) to re-project into the target project.
The -l flag should only be used if you know the CRS
is correct but the internal georeferencing has gotten lost, and you know
the what the map's bounds and resolution should be beforehand.
By using the num_digits parameter leading zeros are added to the map name numbers, allowing for chronological numbering of the imported raster map layers, so that g.list lists them in the correct order. Here, use num_digits=5 to have a 5 digit suffix with leading zeros (00001 - 99999).
# Import of ECAD data split into chunks # Import precipitation data r.in.gdal -o input=rr_0.25deg_reg_1950-1964_v12.0.nc output=precipitation num_digits=5 offset=0 r.in.gdal -o input=rr_0.25deg_reg_1965-1979_v12.0.nc output=precipitation num_digits=5 offset=5479 r.in.gdal -o input=rr_0.25deg_reg_1980-1994_v12.0.nc output=precipitation num_digits=5 offset=10957 r.in.gdal -o input=rr_0.25deg_reg_1995-2015_v12.0.nc output=precipitation num_digits=5 offset=16436 # Import air pressure data r.in.gdal -o input=pp_0.25deg_reg_1950-1964_v12.0.nc output=air_pressure num_digits=5 offset=0 r.in.gdal -o input=pp_0.25deg_reg_1965-1979_v12.0.nc output=air_pressure num_digits=5 offset=5479 r.in.gdal -o input=pp_0.25deg_reg_1980-1994_v12.0.nc output=air_pressure num_digits=5 offset=10957 r.in.gdal -o input=pp_0.25deg_reg_1995-2015_v12.0.nc output=air_pressure num_digits=5 offset=16436 # Import min temperature data r.in.gdal -o input=tn_0.25deg_reg_1950-1964_v12.0.nc output=temperatur_min num_digits=5 offset=0 r.in.gdal -o input=tn_0.25deg_reg_1965-1979_v12.0.nc output=temperatur_min num_digits=5 offset=5479 r.in.gdal -o input=tn_0.25deg_reg_1980-1994_v12.0.nc output=temperatur_min num_digits=5 offset=10957 r.in.gdal -o input=tn_0.25deg_reg_1995-2015_v12.0.nc output=temperatur_min num_digits=5 offset=16436 # Import max temperature data r.in.gdal -o input=tx_0.25deg_reg_1950-1964_v12.0.nc output=temperatur_max num_digits=5 offset=0 r.in.gdal -o input=tx_0.25deg_reg_1965-1979_v12.0.nc output=temperatur_max num_digits=5 offset=5479 r.in.gdal -o input=tx_0.25deg_reg_1980-1994_v12.0.nc output=temperatur_max num_digits=5 offset=10957 r.in.gdal -o input=tx_0.25deg_reg_1995-2015_v12.0.nc output=temperatur_max num_digits=5 offset=16436 # Import mean temperature data r.in.gdal -o input=tg_0.25deg_reg_1950-1964_v12.0.nc output=temperatur_mean num_digits=5 offset=0 r.in.gdal -o input=tg_0.25deg_reg_1965-1979_v12.0.nc output=temperatur_mean num_digits=5 offset=5479 r.in.gdal -o input=tg_0.25deg_reg_1980-1994_v12.0.nc output=temperatur_mean num_digits=5 offset=10957 r.in.gdal -o input=tg_0.25deg_reg_1995-2015_v12.0.nc output=temperatur_mean num_digits=5 offset=16436
r.in.gdal /vsicurl/https://www.datenatlas.de/geodata/public/srtmgl1/srtmgl1.003.tif output=srtmgl1_v003_30m memory=2000 g.region raster=srtmgl1_v003_30m -p r.colors srtmgl1_v003_30m color=srtm_plus
# Example MODIS FPAR gdalinfo MOD15A2.A2003153.h18v04.004.2003171141042.hdf ... Subdatasets: SUBDATASET_1_NAME=HDF4_EOS:EOS_GRID:"MOD15A2.A2003153.h18v04.004.2003171141042.hdf":MOD_Grid_MOD15A2:Fpar_1km SUBDATASET_1_DESC=[1200x1200] Fpar_1km MOD_Grid_MOD15A2 (8-bit unsigned integer) SUBDATASET_2_NAME=HDF4_EOS:EOS_GRID:"MOD15A2.A2003153.h18v04.004.2003171141042.hdf":MOD_Grid_MOD15A2:Lai_1km SUBDATASET_2_DESC=[1200x1200] Lai_1km MOD_Grid_MOD15A2 (8-bit unsigned integer) ... # import of first band, here FPAR 1km: r.in.gdal HDF4_EOS:EOS_GRID:"MOD15A2.A2003153.h18v04.004.2003171141042.hdf":MOD_Grid_MOD15A2:Fpar_1km \ out=fpar_1km_2003_06_02 # ... likewise for other HDF bands in the file.
GRASS GIS Wiki page: Import of Global datasets
Available at: r.in.gdal source code (history)
Latest change: Friday Nov 29 00:12:28 2024 in commit: b8fc5a21d099218488d903245078864c33a77198
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