GRASS GIS Addons Repository
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Updated
Jun 20, 2024 - Python
GRASS GIS Addons Repository
DSG's QGIS Plugin for GIS production
Actinia Core is an open source REST API for scalable, distributed, high performance processing of geographical data that uses mainly GRASS GIS for computational tasks (DOI: https://doi.org/10.5281/zenodo.5879231) | Tutorial: https://actinia-org.github.io/actinia-core/ | Docker: https://hub.docker.com/r/mundialis/actinia-core
NCSU GIS 714 Spring 2021: Tangible Landscape
Practical split-window algorithm estimating Land Surface Temperature from Landsat 8 OLI/TIRS imagery
Simulation of multiple ecological functional corridors
NCSU GIS 714 Spring 2022: Tangible Landscape
A tool for calculating landscape connectivity and other ecologically scaled landscape metrics
OpenEO driver for GRASS GIS/actinia. Backend description at https://openeo.mundialis.de/.well-known/openeo
GDAL-GRASS GIS driver (https://github.com/OSGeo/gdal-grass/blob/main/docs/grass_raster.md and https://github.com/OSGeo/gdal-grass/blob/main/docs/grass_vector.md)
Converting WorldView2 Digital Numbers to Spectral Radiance or Reflectance
Python Client Library for actinia
This actinia plugin is designed for computing raster map and raster-time-series statistics for categorical and continuous data
This actinia plugin is designed for efficient satellite data handling, especially Landsat and Sentinel-2 scenes
📡 Sentinel-1 Pre-Processing in GRASS GIS
t.sentinel toolset for download and processing time series of Copernicus Sentinel products. This toolset is an addition to the i.sentinel GRASS GIS addon toolset
GRASS GIS module for wildfire simulation wrapping r.ros and r.spread modules
Python library with helper functions for GRASS GIS addon development
Import Landsat scene(s) in GRASS GIS' data base as independent Mapset(s)
Divides data into training and validation data
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