GDAL
GDAL (Geospatial Data Abstraction Library) is a GIS translator library for accessing and transforming geospatial data. Most commonly it is used in file format or coordinate system changes.
Available
GDAL is available with following versions:
- 3.9.2 - in the 3.38 QGIS in Puhti
- 3.9.1 - in the 3.11.9 geoconda in Puhti and Mahti
- 3.8.5 stand-alone:
gdal
in Puhti - 3.8.3 - in the 3.31 QGIS in Puhti and LUMI
- 3.6.2 - in the 3.10.x geoconda in Puhti and Mahti
- 3.4.3 stand-alone:
gdal
in Puhti - Also in Puhti: r-env and OrfeoToolBox
Note
The stand-alone GDAL and R modules don't have Python bindings installed so e.g gdal_calc
works only in the geoconda and qgis modules. Also, the supported file formats vary between the modules. gdal/3.4.3
has the most limited driver support and no support for virtual drivers. It is possible to add more drivers to standalone and r-env GDAL installations, please ask. geoconda and qgis GDAL installations are based on conda gdal package and are impossible to change regarding drivers support. Use gdalinfo --formats
to see supported raster formats and ogrinfo --formats
for vector formats.
Usage
GDAL is included in the modules listed above, so it can be used when any of these modules is loaded.
The stand-alone gdal
module is mainly meant for building software on top of GDAL, but can also be used for command-line usage. To load stand-alone gdal
use:
# GDAL 3.8.5
module load gcc/13.2.0 openmpi/5.0.5 gdal/3.8.5
# GDAL 3.4.3
module load gcc/11.3.0 gdal/3.4.3
You can test if GDAL loaded successfully with following
gdalinfo --version
With r-env
gdal commands can be used as:
apptainer_wrapper exec gdalinfo --version
Using files directly from object storage services or cloud, inc Allas
GDAL supports virtual network based file systems for reading and sometimes writing from several cloud storage systems, inc CSC Allas, Amazon S3, Google Cloud Storage, Microsoft Azure etc. Please check CSC's Using geospatial files directly from cloud, inc Allas tutorial for instructions and examples.
Virtual rasters
With large quantities of raster data (also in Allas), the most convenient method of accessing them might be GDAL virtual rasters.
License
GDAL is licensed under an MIT/X style license
Citation
GDAL/OGR contributors (2024). GDAL/OGR Geospatial Data Abstraction software Library. Open Source Geospatial Foundation. URL https://gdal.org, DOI: 10.5281/zenodo.5884351
Acknowledgement
Please acknowledge CSC and Geoportti in your publications, it is important for project continuation and funding reports. As an example, you can write "The authors wish to thank CSC - IT Center for Science, Finland (urn:nbn:fi:research-infras-2016072531) and the Open Geospatial Information Infrastructure for Research (Geoportti, urn:nbn:fi:research-infras-2016072513) for computational resources and support".
Installation
Standalone GDAL was installed to Puhti using Spack and its GDAL package definition. For other installations, see respective application page.
Installation settings for 3.8.5. +
means enabled option, ~
disabled.
gdal@3.8.5+arrow+curl+deflate+expat+geos+gif+hdf4+hdf5+iconv+jpeg+liblzma+libxml2+lz4+netcdf+openjpeg+png+postgresql+spatialite+sqlite3+zstd
~archive~armadillo~basisu~blosc~brunsli~cfitsio~crnlib~cryptopp~csharp~ecw~filegdb~freexl~fyba~gta~hdfs~heif~idb~ipo~java~jxl~kdu~kea~lerc
~libaec~libcsf~libkml~libqb3~luratech~mongocxx~mrsid~mssql_ncli~mssql_odbc~mysql~odbc~odbccpp~ogdi~opencad~opencl~openexr~openssl~oracle
~parquet~pcidsk~pcre2~pdfium~podofo~poppler~python~qhull~rasterlite2~rdb~sfcgal~teigha~tiledb~webp~xercesc
build_system=cmake build_type=Release generator=ninja patches=52459dc
Installation settings for 3.4.3:
--with-libtiff=/appl/spack/v018/install-tree/gcc-11.3.0/libtiff-4.3.0-4xvmnn
--with-geotiff=/appl/spack/v018/install-tree/gcc-11.3.0/libgeotiff-1.6.0-m66qzg
--with-libjson-c=/appl/spack/v018/install-tree/gcc-11.3.0/json-c-0.15-cvy2yv
--with-proj=/appl/spack/v018/install-tree/gcc-11.3.0/proj-8.2.1-zj2pln
--with-libtool=yes
--with-libz=/appl/spack/v018/install-tree/gcc-11.3.0/zlib-1.2.12-tpcwxh
--with-liblzma=yes
--with-jpeg=/appl/spack/v018/install-tree/gcc-11.3.0/libjpeg-turbo-2.1.3-hnflqm"