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## GIS tools available in Puhti

* [Ames Stereo Pipeline](https://docs.csc.fi/apps/ames-stereo.md) for processing stereo images
* [ArcGIS Python API](https://docs.csc.fi/apps/arcgis.md)
* [CloudCompare](https://docs.csc.fi/apps/cloudcompare.md) for visualizing, editing and processing poing clouds
* [FORCE](https://docs.csc.fi/apps/force.md) for mass-processing of medium-resolution satellite images
* [GDAL](https://docs.csc.fi/apps/gdal.md) for geospatial data formats
* **[Geoconda](https://docs.csc.fi/apps/geoconda.md)** - Python spatial analysis libraries
* [GRASS GIS](https://docs.csc.fi/apps/grass.md) General purpose GIS software family for viewing, editing and analysing geospatial data
* [LAStools](https://docs.csc.fi/apps/lastools.md) for LiDAR datasets
* [Ames Stereo Pipeline](https://docs.csc.fi/apps/ames-stereo/) for processing stereo images
* [ArcGIS Python API](https://docs.csc.fi/apps/arcgis/)
* [CloudCompare](https://docs.csc.fi/apps/cloudcompare/) for visualizing, editing and processing poing clouds
* [FORCE](https://docs.csc.fi/apps/force/) for mass-processing of medium-resolution satellite images
* [GDAL](https://docs.csc.fi/apps/gdal/) for geospatial data formats
* **[Geoconda](https://docs.csc.fi/apps/geoconda/)** - Python spatial analysis libraries
* [GRASS GIS](https://docs.csc.fi/apps/grass/) General purpose GIS software family for viewing, editing and analysing geospatial data
* [LAStools](https://docs.csc.fi/apps/lastools/) for LiDAR datasets
* [MATLAB](https://docs.csc.fi/apps/matlab/)
* [OpenDroneMap](https://docs.csc.fi/apps/opendronemap.md) for processing aerial drone imagery
* [Orfeo ToolBox](https://docs.csc.fi/apps/otb.md) for remote sensing applications
* [PCL](https://docs.csc.fi/apps/pcl.md) for 2D/3D image and point cloud processing
* [PDAL](https://docs.csc.fi/apps/pdal.md) for point cloud translations and processing
* [QGIS](https://docs.csc.fi/apps/qgis.md) General purpose GIS software family for viewing, editing and analysing geospatial data
* **[R for GIS](https://docs.csc.fi/apps/r-env-for-gis.md)** R spataial analysis libraries
* [SAGA GIS](https://docs.csc.fi/apps/saga-gis.md) General purpose GIS software family for viewing, editing and analysing geospatial data
* [Sen2Cor](https://docs.csc.fi/apps/sen2cor.md) for atmospheric-, terrain and cirrus correction of the Sentinel-2 products
* [Sen2mosaic](https://docs.csc.fi/apps/sen2mosaic.md) for download, preprocessing and mosaicing of Sentinel-2 products
* **[SNAP](https://docs.csc.fi/apps/snap.md)** for remote sensing applications
* [WhiteboxTools](https://docs.csc.fi/apps/whiteboxtools.md) an advanced geospatial data analysis platform
* [Zonation](https://docs.csc.fi/apps/zonation.md) Spatial conservation prioritization framework
* **[pytorch](https://docs.csc.fi/apps/pytorch.md)** for deep learning
* **[tensorflow](https://docs.csc.fi/apps/tensorflow.md)** for deep learning
* [OpenDroneMap](https://docs.csc.fi/apps/opendronemap/) for processing aerial drone imagery
* [Orfeo ToolBox](https://docs.csc.fi/apps/otb/) for remote sensing applications
* [PCL](https://docs.csc.fi/apps/pcl/) for 2D/3D image and point cloud processing
* [PDAL](https://docs.csc.fi/apps/pdal/) for point cloud translations and processing
* [QGIS](https://docs.csc.fi/apps/qgis/) General purpose GIS software family for viewing, editing and analysing geospatial data
* **[R for GIS](https://docs.csc.fi/apps/r-env-for-gis/)** R spataial analysis libraries
* [SAGA GIS](https://docs.csc.fi/apps/saga-gis/) General purpose GIS software family for viewing, editing and analysing geospatial data
* [Sen2Cor](https://docs.csc.fi/apps/sen2cor/) for atmospheric-, terrain and cirrus correction of the Sentinel-2 products
* [Sen2mosaic](https://docs.csc.fi/apps/sen2mosaic/) for download, preprocessing and mosaicing of Sentinel-2 products
* **[SNAP](https://docs.csc.fi/apps/snap/)** for remote sensing applications
* [WhiteboxTools](https://docs.csc.fi/apps/whiteboxtools/) an advanced geospatial data analysis platform
* [Zonation](https://docs.csc.fi/apps/zonation/) Spatial conservation prioritization framework
* **[pytorch](https://docs.csc.fi/apps/pytorch/)** for deep learning
* **[tensorflow](https://docs.csc.fi/apps/tensorflow/)** for deep learning


## GIS tools available in Mahti

* [Geoconda](https://docs.csc.fi/apps/geoconda.md) - Python spatial analysis libraries
* [pytorch](https://docs.csc.fi/apps/pytorch.md) for deep learning
* [tensorflow](https://docs.csc.fi/apps/tensorflow.md) for deep learning
* [Geoconda](https://docs.csc.fi/apps/geoconda/) - Python spatial analysis libraries
* [pytorch](https://docs.csc.fi/apps/pytorch/) for deep learning
* [tensorflow](https://docs.csc.fi/apps/tensorflow/) for deep learning

## GIS tools available in LUMI

* [GDAL](https://docs.csc.fi/apps/gdal.md) for geospatial data formats
* [GRASS GIS](https://docs.csc.fi/apps/grass.md) General purpose GIS software family for viewing, editing and analysing geospatial data
* [PDAL](https://docs.csc.fi/apps/pdal.md) for point cloud translations and processing
* [QGIS](https://docs.csc.fi/apps/qgis.md) General purpose GIS software family for viewing, editing and analysing geospatial data
* [SAGA GIS](https://docs.csc.fi/apps/saga-gis.md) General purpose GIS software family for viewing, editing and analysing geospatial data
* [pytorch](https://docs.csc.fi/apps/pytorch.md) for deep learning
* [tensorflow](https://docs.csc.fi/apps/tensorflow.md) for deep learning
* [GDAL](https://docs.csc.fi/apps/gdal/) for geospatial data formats
* [GRASS GIS](https://docs.csc.fi/apps/grass/) General purpose GIS software family for viewing, editing and analysing geospatial data
* [PDAL](https://docs.csc.fi/apps/pdal/) for point cloud translations and processing
* [QGIS](https://docs.csc.fi/apps/qgis/) General purpose GIS software family for viewing, editing and analysing geospatial data
* [SAGA GIS](https://docs.csc.fi/apps/saga-gis/) General purpose GIS software family for viewing, editing and analysing geospatial data
* [pytorch](https://docs.csc.fi/apps/pytorch/) for deep learning
* [tensorflow](https://docs.csc.fi/apps/tensorflow/) for deep learning
* Additional, easy to install yourself [EasyBuild recepies](https://lumi-supercomputer.github.io/LUMI-EasyBuild-docs) for CGAL, GDAL, GEOS, ncview, PROJ, R.


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