GRASS GIS - Bringing advanced geospatial technologies to the world
GRASS GIS is a powerful engine for raster, vector, and geospatial processing, enabling advanced modeling, data management, imagery processing, and time series analysis with a Python API, optimized for large-scale analysis.
GRASS GIS (Geographic Resources Analysis Support System) is a free and open source Geographic Information System (GIS) used for geospatial data management and analysis, image processing, graphics and maps production, spatial modeling, and visualization. GRASS GIS is currently used in academic and commercial settings around the world, as well as by many governmental agencies and environmental consulting companies.
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Domain Rating
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Domain Authority
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Citation Level
1982
English, etc
Website Key Features
Geospatial Data Management
Comprehensive tools for managing and analyzing geospatial data.
Image Processing
Advanced capabilities for processing and analyzing satellite and aerial imagery.
Spatial Modeling
Tools for creating and analyzing spatial models for various applications.
Map Production
Features for producing high-quality maps for publication and presentation.
3D Visualization
Capabilities for visualizing geospatial data in three dimensions.
Python Scripting
Integration with Python for scripting and automation of tasks.
Community Support
Active community of users and developers providing support and contributions.
Additional information
License
GNU General Public License (GPL)
Operating System
Cross-platform (Linux, macOS, Windows)
Development Status
Active
Project Leader
GRASS Development Team
Website
https://grass.osgeo.org
Repository
https://github.com/OSGeo/grass
Documentation
Extensive documentation available online and in the software.
Community Forums
Active forums and mailing lists for user support and discussion.
Tutorials
Numerous tutorials available for beginners and advanced users.
Workshops
Regular workshops and training sessions conducted worldwide.
HTTP headers
Security headers report is a very important part of user data protection. Learn more about http headers for grass.osgeo.org