#grassgis — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #grassgis, aggregated by home.social.
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Run parallelised HBV hydrological model directly into GRASS GIS, prefetching Copernicus DEM, ERA5 climate dataset, and precomputing HRU, outlets, etc.
#GRASSGIS #HBV #Copernicus #DEM #hydrology #landscape #cropmodeling #geomorphology
https://github.com/yannchemin/r.hydro.hbv -
🌊 Modeling a potential dam breach — and how panic spread beyond the real watershed
This project assessed the potential consequences of a dam failure at a mine-water impoundment in the Svystunova Gully.
🔹 Reconstructed the original pre-impoundment terrain from archival topographic maps.
🔹 Used Sentinel-based land-cover classification to assign variable Manning’s roughness coefficients.
🔹 Built a modern DEM including the dam structure and current flooded zone.
🔹 Simulated dam-break flood dynamics in GRASS GIS — frame by frame.
🔹 Produced a video visualization to help local communities understand real risks (and ignore fake ones).
🔹 The results were later featured in regional media and used in discussions about mine-water safety.🎥 Watch the short video visualization:
🔗 https://youtu.be/JTcCLXqvWlE?si=NS7ly7UAZu1XttWy#Hydrology #DamSafety #GIS #GRASSGIS #MineWater #HydrodynamicModeling #GeospatialAnalysis #EnvironmentalRisk #OpenScience #IndependentResearch #SvystunovaGully
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🌊 Modeling a potential dam breach — and how panic spread beyond the real watershed
This project assessed the potential consequences of a dam failure at a mine-water impoundment in the Svystunova Gully.
🔹 Reconstructed the original pre-impoundment terrain from archival topographic maps.
🔹 Used Sentinel-based land-cover classification to assign variable Manning’s roughness coefficients.
🔹 Built a modern DEM including the dam structure and current flooded zone.
🔹 Simulated dam-break flood dynamics in GRASS GIS — frame by frame.
🔹 Produced a video visualization to help local communities understand real risks (and ignore fake ones).
🔹 The results were later featured in regional media and used in discussions about mine-water safety.🎥 Watch the short video visualization:
🔗 https://youtu.be/JTcCLXqvWlE?si=NS7ly7UAZu1XttWy#Hydrology #DamSafety #GIS #GRASSGIS #MineWater #HydrodynamicModeling #GeospatialAnalysis #EnvironmentalRisk #OpenScience #IndependentResearch #SvystunovaGully
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🌊 Modeling a potential dam breach — and how panic spread beyond the real watershed
This project assessed the potential consequences of a dam failure at a mine-water impoundment in the Svystunova Gully.
🔹 Reconstructed the original pre-impoundment terrain from archival topographic maps.
🔹 Used Sentinel-based land-cover classification to assign variable Manning’s roughness coefficients.
🔹 Built a modern DEM including the dam structure and current flooded zone.
🔹 Simulated dam-break flood dynamics in GRASS GIS — frame by frame.
🔹 Produced a video visualization to help local communities understand real risks (and ignore fake ones).
🔹 The results were later featured in regional media and used in discussions about mine-water safety.🎥 Watch the short video visualization:
🔗 https://youtu.be/JTcCLXqvWlE?si=NS7ly7UAZu1XttWy#Hydrology #DamSafety #GIS #GRASSGIS #MineWater #HydrodynamicModeling #GeospatialAnalysis #EnvironmentalRisk #OpenScience #IndependentResearch #SvystunovaGully
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🌊 Modeling a potential dam breach — and how panic spread beyond the real watershed
This project assessed the potential consequences of a dam failure at a mine-water impoundment in the Svystunova Gully.
🔹 Reconstructed the original pre-impoundment terrain from archival topographic maps.
🔹 Used Sentinel-based land-cover classification to assign variable Manning’s roughness coefficients.
🔹 Built a modern DEM including the dam structure and current flooded zone.
🔹 Simulated dam-break flood dynamics in GRASS GIS — frame by frame.
🔹 Produced a video visualization to help local communities understand real risks (and ignore fake ones).
🔹 The results were later featured in regional media and used in discussions about mine-water safety.🎥 Watch the short video visualization:
🔗 https://youtu.be/JTcCLXqvWlE?si=NS7ly7UAZu1XttWy#Hydrology #DamSafety #GIS #GRASSGIS #MineWater #HydrodynamicModeling #GeospatialAnalysis #EnvironmentalRisk #OpenScience #IndependentResearch #SvystunovaGully
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@cmccullough @qgis
Qgis Is only one of multiple projects aimed to build a platform for GIS applications. In many cases it can be used via Processing to access #grassgis, #orfeo and others for serious processing. -
@cmccullough @qgis
Qgis Is only one of multiple projects aimed to build a platform for GIS applications. In many cases it can be used via Processing to access #grassgis, #orfeo and others for serious processing. -
Check out the new global tree canopy height map by Meta and the World Resources Institute (https://sustainability.fb.com/blog/2024/04/22/using-artificial-intelligence-to-map-the-earths-forests/). See https://ecodiv.earth/post/treeheightmap/ for a description of how to import the map for your area of interest in #grassgis and get a map with acquisition dates.
Be careful when using the data for your analysis, though. Some patterns clearly reflect differences in the dates of acquisition of the source imagery, rather than actual differences on the ground.
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Check out the new global tree canopy height map by Meta and the World Resources Institute (https://sustainability.fb.com/blog/2024/04/22/using-artificial-intelligence-to-map-the-earths-forests/). See https://ecodiv.earth/post/treeheightmap/ for a description of how to import the map for your area of interest in #grassgis and get a map with acquisition dates.
Be careful when using the data for your analysis, though. Some patterns clearly reflect differences in the dates of acquisition of the source imagery, rather than actual differences on the ground.
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Check out the new global tree canopy height map by Meta and the World Resources Institute (https://sustainability.fb.com/blog/2024/04/22/using-artificial-intelligence-to-map-the-earths-forests/). See https://ecodiv.earth/post/treeheightmap/ for a description of how to import the map for your area of interest in #grassgis and get a map with acquisition dates.
Be careful when using the data for your analysis, though. Some patterns clearly reflect differences in the dates of acquisition of the source imagery, rather than actual differences on the ground.
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Check out the new global tree canopy height map by Meta and the World Resources Institute (https://sustainability.fb.com/blog/2024/04/22/using-artificial-intelligence-to-map-the-earths-forests/). See https://ecodiv.earth/post/treeheightmap/ for a description of how to import the map for your area of interest in #grassgis and get a map with acquisition dates.
Be careful when using the data for your analysis, though. Some patterns clearly reflect differences in the dates of acquisition of the source imagery, rather than actual differences on the ground.
-
Check out the new global tree canopy height map by Meta and the World Resources Institute (https://sustainability.fb.com/blog/2024/04/22/using-artificial-intelligence-to-map-the-earths-forests/). See https://ecodiv.earth/post/treeheightmap/ for a description of how to import the map for your area of interest in #grassgis and get a map with acquisition dates.
Be careful when using the data for your analysis, though. Some patterns clearly reflect differences in the dates of acquisition of the source imagery, rather than actual differences on the ground.
