Grass GIS Changelog

What's new in Grass GIS 8.0.0

• Graphical User Interface (GUI):
• GRASS GIS 8.0 graphical user interface comes with an entirely new concept of startup mechanism. Users will no longer find any confusing startup screen when launching the software. The GRASS GUI data management centerpiece now lies in the enriched Data Catalog, which enables a user-friendly management of GRASS data hierarchy elements - databases, locations, and mapsets. To make the initial contact easier, all these special terms are clarified in the pre-prepared location launched when the software is run for the first time. Additionally, some info bars appear to help with setting up a new location and importing data. Thanks to the Data Catalog, the next time GRASS is launched users can switch easily from the last used mapset to another one. This makes working with the software easier for both GIS beginners and existing GRASS users.
• Raster modules:
• A new metadata class can now be added to raster maps. We called it semantic labels. Examples of semantic labels are satellite bands (blue, green, red, nir, etc.), dataset names in remote sensing products (ndvi, evi, lst, etc.), or whatever the user wants to use to identify raster maps. This new feature brings in a series of advantages. Users can register time series of satellite images and then select which bands or semantic labels to work with, for example, estimate NDVI from a Sentinel 2 time series: t.rast.mapcalc inputs=test.S2_8,test.S2_4 output=ndvi basename=ndvi expression="float(test.S2_8 - test.S2_4) / (test.S2_8 + test.S2_4)"
• 3D view of a point cloud:
• Semantic labels might be added either by means of the enhanced r.support or with a new module r.semantic.label that manages (adds, removes or print) semantic label information assigned to a single raster map or to a list of raster maps. Furthermore, semantic labels can also be passed in a text file when registering raster maps into time series by means of t.register.
• There’s a new raster module, r.in.pdal, a PDAL based replacement of r.in.lidar that allows to import any point dimension (including user defined ones e.g. from PDAL filters), supports 19 binning methods (including eigenvalues) and point filtering by values in any dimension.
• Imagery modules:
• All raster classification modules now generate signature files with embedded semantic labels. This allows to apply the signature file from one imagery scene (group) to any number of other scenes as long as they consist of the same bands (as identified by their semantic labels). This makes it so much easier to classify different imagery groups with identical semantic labels.
• The new module i.band.library stores and prints available semantic labels used for multispectral data. So far only system-defined band references are supported, i.e., Landsat 5, Landsat 7, Landsat 8 and Sentinel 2.
• Temporal GIS modules:
• With the addition of semantic labels, the temporal database was modified to version 3 and hence, to be able to read and process GRASS 7.x space-time datasets, users will be prompted to run the new t.upgrade module. If users want to read space-time datasets newly created in GRASS 8 back in GRASS 7.x, they can run t.downgrade.
• General modules:
• g.extension, the tool allowing to install extensions, received extensive changes to adapt to the new addons repository structure with branches pointing to different GRASS major versions. This change introduced the possibility to install pull request branches making it so much faster to test new changes.
• Scripting and code quality:
• Major efforts have been made to port all Python scripts to Python 3.6. Also, there’s a new Python subpackage for working with locations and mapsets. All Python code has been formatted with black and checked against flake8. Most warnings in C code were removed and are now checked and, all code is tested with CodeQL.
• PROJ and GDAL support:
• PROJ 4 to PROJ 8 compatibility has been implemented. WKT2 can be used for CRS definitions. High-accuracy coordinate transformations supported. GDAL 3 compatibility improved with speed-ups.