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GRASS GIS
GRASS GIS
4.6
0.0

Geospatial data management, visualization and analysis.

4.6
Based on 2 user ratesRead reviews & comments
Free
Absolutely Free

GRASS GIS overview

GRASS GIS, commonly referred to as GRASS (Geographic Resources Analysis Support System), is a Geographic Information System (GIS) used for geospatial data management and analysis, image processing, graphics/maps production, spatial modeling, and visualization. GRASS is currently used in academic and commercial settings around the world, as well as by many governmental agencies and environmental consulting companies.

What’s new in version 8.2.0

Updated on Jun 12 2022

  • 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.
  • 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)"
  • 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.
  • 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.
  • 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.
  • 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.
  • 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 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.
View older GRASS GIS updates

Information

License

Free

Size

466.7 MB

Developer’s website

https://grass.osgeo.org/

Downloads

31137

App requirements

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0.0
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Guest
Guest
Oct 6 2011
6.4.1-5
0.0
Oct 6 2011
0.0
Version: 6.4.1-5
Before I dive in, how does this run on Lion? Any opinions about whether I need more than 2 or 3 GB of RAM, and will it run reasonably on my late-2006 2.16 GHz iMac? And, though it appears to be an OS X port, I just want to be sure: It’s not Java, is it?
SickTeddyBear
SickTeddyBear
Apr 16 2011
6.4.1-1
0.0
Apr 16 2011
0.0
Version: 6.4.1-1
The requirements listed are incomplete. There are several support frameworks that have to be installed before installing GRASS. Go to the developer's web site for the full scoop. Also, the latest version for 10.5 is available, and it's a universal Intel/PPC binary: http://www.kyngchaos.com/files/software/grass/GRASS-6.4.1-1-Leo.dmg
Orion-Mk-V
Orion-Mk-V
Apr 14 2011
6.4.1RC1-110227
0.0
Apr 14 2011
0.0
Version: 6.4.1RC1-110227
Link to developer site incorrect. The Mac version looks like it's here: http://www.kyngchaos.com/software/grass
Guest
Guest
Jul 1 2004
040630
4.3
Jul 1 2004
4.3
Version: 040630
Thanks to the new mirrors - good speeds. And thank you, Lorenzo Moretti, for your hard work and your patience with all the negative comments. GRASS itself is powerful and this distribution makes installation a snap. Good work!
Guest
Guest
Mar 23 2004
040320
4.3
Mar 23 2004
4.3
Version: 040320
1st - Give the developer a break. It's free and it is big. He does not host it on a big fast server - so what IT IS FREE. If you think you can do better, contact the developer, I am sure he would be more than willing to mirror his 100's MB of files on your free server. 2nd - Note this is an OSX port of the newer beta version of Grass including a menu driven interface and a GUI. There is an OSX version of the current release of Grass but it only has a command line interface and it will cost you a few $100. The fact that someone is porting the latest and greatest to OSX is GREAT!!!! 3rd - Grass in not for the casual user. It is very powerful but it is not trival. If you haven't used it before, plan on spending days (if not weeks) on coming up to speed. 4th - It requires X11. I am running it under 10.2.8 so I am using the old beta release of X11 (that does not require 10.3). There are some stability problems but it is not clear if this is a Grass issue or the fact that I am not using the most up to date version of X11.
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