#pointcloud — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #pointcloud, aggregated by home.social.
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Processing nationwide data for Germany’s digital twin
The scale of the Digital Twin Germany project raises a critical operational q…
#Germany #DE #Europe #EU #Europa #aerialmapping #Aerialsurvey #AerialSurveying #AI #artificialintelligence #automation #Cloud #digitaltwin #GeoAI #geospatial #infrastructure #laserscanning #Lidar #Lidarapplications #Lidardataprocessing #mapping #objectdetection #pointcloud #pointcloudclassification #remotesensing #workflow
https://www.europesays.com/germany/10929/ -
Vandaag staan Raymond Nijssen & ik op de HAS #GeoExperience in Den Bosch met een #QGIS stand. We geven ook een workshop over #pointcloud processing in QGIS. Niet erbij? De workshop is gratis online te volgen op @[email protected]: courses.gisopencourseware.org/course/view.... @[email protected]
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Vandaag staan Raymond Nijssen & ik op de HAS #GeoExperience in Den Bosch met een #QGIS stand. We geven ook een workshop over #pointcloud processing in QGIS. Niet erbij? De workshop is gratis online te volgen op @[email protected]: courses.gisopencourseware.org/course/view.... @[email protected]
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Vandaag staan @terglobo en ik op de HAS #GeoExperience in 's-Hertogenbosch met een #QGIS‑stand. We geven ook een workshop over #pointcloud processing & #3D #visualisatie in QGIS.
Niet erbij? De workshop is gratis online te volgen op @gisocw: https://courses.gisopencourseware.org/course/view.php?id=82
Er staan nóg meer NL‑cursussen op GIS OpenCourseWare. Zie: https://courses.gisopencourseware.org/course/index.php?categoryid=8
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Vandaag staan @terglobo en ik op de HAS #GeoExperience in 's-Hertogenbosch met een #QGIS‑stand. We geven ook een workshop over #pointcloud processing & #3D #visualisatie in QGIS.
Niet erbij? De workshop is gratis online te volgen op @gisocw: https://courses.gisopencourseware.org/course/view.php?id=82
Er staan nóg meer NL‑cursussen op GIS OpenCourseWare. Zie: https://courses.gisopencourseware.org/course/index.php?categoryid=8
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Vandaag staan @terglobo en ik op de HAS #GeoExperience in 's-Hertogenbosch met een #QGIS‑stand. We geven ook een workshop over #pointcloud processing & #3D #visualisatie in QGIS.
Niet erbij? De workshop is gratis online te volgen op @gisocw: https://courses.gisopencourseware.org/course/view.php?id=82
Er staan nóg meer NL‑cursussen op GIS OpenCourseWare. Zie: https://courses.gisopencourseware.org/course/index.php?categoryid=8
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Vandaag staan @terglobo en ik op de HAS #GeoExperience in 's-Hertogenbosch met een #QGIS‑stand. We geven ook een workshop over #pointcloud processing & #3D #visualisatie in QGIS.
Niet erbij? De workshop is gratis online te volgen op @gisocw: https://courses.gisopencourseware.org/course/view.php?id=82
Er staan nóg meer NL‑cursussen op GIS OpenCourseWare. Zie: https://courses.gisopencourseware.org/course/index.php?categoryid=8
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Vandaag staan @terglobo en ik op de HAS #GeoExperience in 's-Hertogenbosch met een #QGIS‑stand. We geven ook een workshop over #pointcloud processing & #3D #visualisatie in QGIS.
Niet erbij? De workshop is gratis online te volgen op @gisocw: https://courses.gisopencourseware.org/course/view.php?id=82
Er staan nóg meer NL‑cursussen op GIS OpenCourseWare. Zie: https://courses.gisopencourseware.org/course/index.php?categoryid=8
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TIL that there are 360° LIDAR scanners below $450. With open source programs. I desperately need to figure out why I do need one.
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@geospacedman https://giro3d.org for #3D Geospatial visualization, not only #PointCloud . Are you looking for specific types of dataset / examples ?
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Processing [#USGS] 3DEP [#OpenData] LiDAR Point Clouds with Purdue's Data to Science Open Source Pipelines [overview/tutorial]
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https://youtu.be/oicXic8cVqU?si=cz41PgHOC5v-53SY <-- shared video
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https://github.com/gdslab/3dep_tutorial/blob/main/usgs_3dep_tutorial.ipynb <-- #Data2Science project and #Github repositories
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#GIS #spatial #mapping #KnowledgeBase #NSGIC #USGS #3dep #pointcloud #remotesensing #earthobservation #processing #pipelines #opendata #fedscience #publicgood #DataToScience #opensource #overview #tutorial #derivateproducts #workflow #stakeholders #elevation #USA #national #TheNationalMap #tools #3DEPfortheNation #3DEPFTN
#USGS | #NSGIC | #PurdueUniversity -
Processing [#USGS] 3DEP [#OpenData] LiDAR Point Clouds with Purdue's Data to Science Open Source Pipelines [overview/tutorial]
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https://youtu.be/oicXic8cVqU?si=cz41PgHOC5v-53SY <-- shared video
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https://github.com/gdslab/3dep_tutorial/blob/main/usgs_3dep_tutorial.ipynb <-- #Data2Science project and #Github repositories
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#GIS #spatial #mapping #KnowledgeBase #NSGIC #USGS #3dep #pointcloud #remotesensing #earthobservation #processing #pipelines #opendata #fedscience #publicgood #DataToScience #opensource #overview #tutorial #derivateproducts #workflow #stakeholders #elevation #USA #national #TheNationalMap #tools #3DEPfortheNation #3DEPFTN
#USGS | #NSGIC | #PurdueUniversity -
Processing [#USGS] 3DEP [#OpenData] LiDAR Point Clouds with Purdue's Data to Science Open Source Pipelines [overview/tutorial]
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https://youtu.be/oicXic8cVqU?si=cz41PgHOC5v-53SY <-- shared video
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https://github.com/gdslab/3dep_tutorial/blob/main/usgs_3dep_tutorial.ipynb <-- #Data2Science project and #Github repositories
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#GIS #spatial #mapping #KnowledgeBase #NSGIC #USGS #3dep #pointcloud #remotesensing #earthobservation #processing #pipelines #opendata #fedscience #publicgood #DataToScience #opensource #overview #tutorial #derivateproducts #workflow #stakeholders #elevation #USA #national #TheNationalMap #tools #3DEPfortheNation #3DEPFTN
#USGS | #NSGIC | #PurdueUniversity -
Processing [#USGS] 3DEP [#OpenData] LiDAR Point Clouds with Purdue's Data to Science Open Source Pipelines [overview/tutorial]
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https://youtu.be/oicXic8cVqU?si=cz41PgHOC5v-53SY <-- shared video
--
https://github.com/gdslab/3dep_tutorial/blob/main/usgs_3dep_tutorial.ipynb <-- #Data2Science project and #Github repositories
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#GIS #spatial #mapping #KnowledgeBase #NSGIC #USGS #3dep #pointcloud #remotesensing #earthobservation #processing #pipelines #opendata #fedscience #publicgood #DataToScience #opensource #overview #tutorial #derivateproducts #workflow #stakeholders #elevation #USA #national #TheNationalMap #tools #3DEPfortheNation #3DEPFTN
#USGS | #NSGIC | #PurdueUniversity -
Processing [#USGS] 3DEP [#OpenData] LiDAR Point Clouds with Purdue's Data to Science Open Source Pipelines [overview/tutorial]
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https://youtu.be/oicXic8cVqU?si=cz41PgHOC5v-53SY <-- shared video
--
https://github.com/gdslab/3dep_tutorial/blob/main/usgs_3dep_tutorial.ipynb <-- #Data2Science project and #Github repositories
--
#GIS #spatial #mapping #KnowledgeBase #NSGIC #USGS #3dep #pointcloud #remotesensing #earthobservation #processing #pipelines #opendata #fedscience #publicgood #DataToScience #opensource #overview #tutorial #derivateproducts #workflow #stakeholders #elevation #USA #national #TheNationalMap #tools #3DEPfortheNation #3DEPFTN
#USGS | #NSGIC | #PurdueUniversity -
I was running out of RAM and out of swap while trying to generate a copc out of a laz with #pdal (the laz weighs 4.7GB). So I created a 15GB swapfile by simply adding
swapDevices = [{
device = "/var/lib/swapfile_15G";
size = 15*1024;
}];to configuration.nix, rebuild, and voilà. The process is currently running very smoothly, peak consuming the whole RAM as expected (64GB) + 12GB out of the available 24GB.
cc @sguimmara @autra
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Light Detection And Ranging Of Natural Systems
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https://doi.org/10.1038/s43586-025-00446-3 <-- shared paper
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['primer'/'tutorial'/overview]
#GIS #spatial #mapping #remotesensing #explanation #tutorial #overview #primer #LiDAR #laserscanning #survey #pointcloud #spatialanalysis #airborne #satellite #usecase #vegetation #forest #forestry #resource #wildfire #fuel #elevation #topography #bathymetry #glaciology #glacier #workflow #naturalsystems #applications #algorithms #sensors #geomorphometry #geomorphology #drone #UAV #water #hydrology #groundbased #instrumentation #spatiotemporal #landsurface #landcover -
Light Detection And Ranging Of Natural Systems
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https://doi.org/10.1038/s43586-025-00446-3 <-- shared paper
--
['primer'/'tutorial'/overview]
#GIS #spatial #mapping #remotesensing #explanation #tutorial #overview #primer #LiDAR #laserscanning #survey #pointcloud #spatialanalysis #airborne #satellite #usecase #vegetation #forest #forestry #resource #wildfire #fuel #elevation #topography #bathymetry #glaciology #glacier #workflow #naturalsystems #applications #algorithms #sensors #geomorphometry #geomorphology #drone #UAV #water #hydrology #groundbased #instrumentation #spatiotemporal #landsurface #landcover -
Light Detection And Ranging Of Natural Systems
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https://doi.org/10.1038/s43586-025-00446-3 <-- shared paper
--
['primer'/'tutorial'/overview]
#GIS #spatial #mapping #remotesensing #explanation #tutorial #overview #primer #LiDAR #laserscanning #survey #pointcloud #spatialanalysis #airborne #satellite #usecase #vegetation #forest #forestry #resource #wildfire #fuel #elevation #topography #bathymetry #glaciology #glacier #workflow #naturalsystems #applications #algorithms #sensors #geomorphometry #geomorphology #drone #UAV #water #hydrology #groundbased #instrumentation #spatiotemporal #landsurface #landcover -
Light Detection And Ranging Of Natural Systems
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https://doi.org/10.1038/s43586-025-00446-3 <-- shared paper
--
['primer'/'tutorial'/overview]
#GIS #spatial #mapping #remotesensing #explanation #tutorial #overview #primer #LiDAR #laserscanning #survey #pointcloud #spatialanalysis #airborne #satellite #usecase #vegetation #forest #forestry #resource #wildfire #fuel #elevation #topography #bathymetry #glaciology #glacier #workflow #naturalsystems #applications #algorithms #sensors #geomorphometry #geomorphology #drone #UAV #water #hydrology #groundbased #instrumentation #spatiotemporal #landsurface #landcover -
Light Detection And Ranging Of Natural Systems
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https://doi.org/10.1038/s43586-025-00446-3 <-- shared paper
--
['primer'/'tutorial'/overview]
#GIS #spatial #mapping #remotesensing #explanation #tutorial #overview #primer #LiDAR #laserscanning #survey #pointcloud #spatialanalysis #airborne #satellite #usecase #vegetation #forest #forestry #resource #wildfire #fuel #elevation #topography #bathymetry #glaciology #glacier #workflow #naturalsystems #applications #algorithms #sensors #geomorphometry #geomorphology #drone #UAV #water #hydrology #groundbased #instrumentation #spatiotemporal #landsurface #landcover -
What a year it's been!🎉 Feeling immense gratitude and pride as I look back at some of my latest architectural elevation drawings. Each line, every detail, crafted with passion and precision.
Ready to jump into new challenges and projects! #Architecture #Elevations #Portfolio #2Ddrawing #CADdrafting #geodesy #pointcloud #laserscanning #survey
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What a year it's been!🎉 Feeling immense gratitude and pride as I look back at some of my latest architectural elevation drawings. Each line, every detail, crafted with passion and precision.
Ready to jump into new challenges and projects! #Architecture #Elevations #Portfolio #2Ddrawing #CADdrafting #geodesy #pointcloud #laserscanning #survey
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What a year it's been!🎉 Feeling immense gratitude and pride as I look back at some of my latest architectural elevation drawings. Each line, every detail, crafted with passion and precision.
Ready to jump into new challenges and projects! #Architecture #Elevations #Portfolio #2Ddrawing #CADdrafting #geodesy #pointcloud #laserscanning #survey
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I released an update to my libE57Format library—version 3.3—to fix some build warnings & to update the build system (cmake)🏗️.
It is a C++ library which provides read & write support for the ASTM-standard E57 file format on Linux, macOS, and Windows. E57 files store 3D point cloud data, attributes associated with 3D point data (color & intensity), and 2D images (photos).
https://github.com/asmaloney/libE57Format/releases/tag/v3.3.0
#3DScanner #PointCloud #GIS #Geospatial #LiDAR #LaserScanner #E57 #OpenSource #FileFormat #cpp #FOSS
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I released an update to my libE57Format library—version 3.3—to fix some build warnings & to update the build system (cmake)🏗️.
It is a C++ library which provides read & write support for the ASTM-standard E57 file format on Linux, macOS, and Windows. E57 files store 3D point cloud data, attributes associated with 3D point data (color & intensity), and 2D images (photos).
https://github.com/asmaloney/libE57Format/releases/tag/v3.3.0
#3DScanner #PointCloud #GIS #Geospatial #LiDAR #LaserScanner #E57 #OpenSource #FileFormat #cpp #FOSS
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I released an update to my libE57Format library—version 3.3—to fix some build warnings & to update the build system (cmake)🏗️.
It is a C++ library which provides read & write support for the ASTM-standard E57 file format on Linux, macOS, and Windows. E57 files store 3D point cloud data, attributes associated with 3D point data (color & intensity), and 2D images (photos).
https://github.com/asmaloney/libE57Format/releases/tag/v3.3.0
#3DScanner #PointCloud #GIS #Geospatial #LiDAR #LaserScanner #E57 #OpenSource #FileFormat #cpp #FOSS
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I released an update to my libE57Format library—version 3.3—to fix some build warnings & to update the build system (cmake)🏗️.
It is a C++ library which provides read & write support for the ASTM-standard E57 file format on Linux, macOS, and Windows. E57 files store 3D point cloud data, attributes associated with 3D point data (color & intensity), and 2D images (photos).
https://github.com/asmaloney/libE57Format/releases/tag/v3.3.0
#3DScanner #PointCloud #GIS #Geospatial #LiDAR #LaserScanner #E57 #OpenSource #FileFormat #cpp #FOSS
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More [Canadian] High-Resolution Lidar [HRDEM] And Elevation Data Now Available
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https://natural-resources.canada.ca/science-data/science-research/geomatics/more-high-resolution-lidar-elevation-data-now-available <-- shared technical press release
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“... In this first article, highlights include:
• HRDEM & HRDEM Mosaic - over 709,000 km² of new LiDAR-derived elevation data added since May 2024, increasing coverage by 54%. This product now covers 244 of Canada’s 250 largest cities, and over 95% of the population.
• Northern HRDEM data - fully updated using ArcticDEM v4.1, improving quality for the entire Canadian Arctic.
• Automatically Extracted Buildings - Added 61 new projects and over 2.58 million building footprints, bringing the total to over 13.6 million.
• LiDAR Point Clouds - Expanded by over 200,000 km2, now totalling close to 364,000 km²…”
#GIS #spatial #mapping #Canada #HRDEM #mosaic #LiDAR #elevation #NationalElevationDataStrategy #pointcloud #ArcticDEM #building #footprints #geographic #coverage #progress #opendata #Canadian #arctic #remotesensing #earthobservation #NaturalResourcesCanada -
More [Canadian] High-Resolution Lidar [HRDEM] And Elevation Data Now Available
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https://natural-resources.canada.ca/science-data/science-research/geomatics/more-high-resolution-lidar-elevation-data-now-available <-- shared technical press release
--
“... In this first article, highlights include:
• HRDEM & HRDEM Mosaic - over 709,000 km² of new LiDAR-derived elevation data added since May 2024, increasing coverage by 54%. This product now covers 244 of Canada’s 250 largest cities, and over 95% of the population.
• Northern HRDEM data - fully updated using ArcticDEM v4.1, improving quality for the entire Canadian Arctic.
• Automatically Extracted Buildings - Added 61 new projects and over 2.58 million building footprints, bringing the total to over 13.6 million.
• LiDAR Point Clouds - Expanded by over 200,000 km2, now totalling close to 364,000 km²…”
#GIS #spatial #mapping #Canada #HRDEM #mosaic #LiDAR #elevation #NationalElevationDataStrategy #pointcloud #ArcticDEM #building #footprints #geographic #coverage #progress #opendata #Canadian #arctic #remotesensing #earthobservation #NaturalResourcesCanada -
More [Canadian] High-Resolution Lidar [HRDEM] And Elevation Data Now Available
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https://natural-resources.canada.ca/science-data/science-research/geomatics/more-high-resolution-lidar-elevation-data-now-available <-- shared technical press release
--
“... In this first article, highlights include:
• HRDEM & HRDEM Mosaic - over 709,000 km² of new LiDAR-derived elevation data added since May 2024, increasing coverage by 54%. This product now covers 244 of Canada’s 250 largest cities, and over 95% of the population.
• Northern HRDEM data - fully updated using ArcticDEM v4.1, improving quality for the entire Canadian Arctic.
• Automatically Extracted Buildings - Added 61 new projects and over 2.58 million building footprints, bringing the total to over 13.6 million.
• LiDAR Point Clouds - Expanded by over 200,000 km2, now totalling close to 364,000 km²…”
#GIS #spatial #mapping #Canada #HRDEM #mosaic #LiDAR #elevation #NationalElevationDataStrategy #pointcloud #ArcticDEM #building #footprints #geographic #coverage #progress #opendata #Canadian #arctic #remotesensing #earthobservation #NaturalResourcesCanada -
More [Canadian] High-Resolution Lidar [HRDEM] And Elevation Data Now Available
--
https://natural-resources.canada.ca/science-data/science-research/geomatics/more-high-resolution-lidar-elevation-data-now-available <-- shared technical press release
--
“... In this first article, highlights include:
• HRDEM & HRDEM Mosaic - over 709,000 km² of new LiDAR-derived elevation data added since May 2024, increasing coverage by 54%. This product now covers 244 of Canada’s 250 largest cities, and over 95% of the population.
• Northern HRDEM data - fully updated using ArcticDEM v4.1, improving quality for the entire Canadian Arctic.
• Automatically Extracted Buildings - Added 61 new projects and over 2.58 million building footprints, bringing the total to over 13.6 million.
• LiDAR Point Clouds - Expanded by over 200,000 km2, now totalling close to 364,000 km²…”
#GIS #spatial #mapping #Canada #HRDEM #mosaic #LiDAR #elevation #NationalElevationDataStrategy #pointcloud #ArcticDEM #building #footprints #geographic #coverage #progress #opendata #Canadian #arctic #remotesensing #earthobservation #NaturalResourcesCanada -
More [Canadian] High-Resolution Lidar [HRDEM] And Elevation Data Now Available
--
https://natural-resources.canada.ca/science-data/science-research/geomatics/more-high-resolution-lidar-elevation-data-now-available <-- shared technical press release
--
“... In this first article, highlights include:
• HRDEM & HRDEM Mosaic - over 709,000 km² of new LiDAR-derived elevation data added since May 2024, increasing coverage by 54%. This product now covers 244 of Canada’s 250 largest cities, and over 95% of the population.
• Northern HRDEM data - fully updated using ArcticDEM v4.1, improving quality for the entire Canadian Arctic.
• Automatically Extracted Buildings - Added 61 new projects and over 2.58 million building footprints, bringing the total to over 13.6 million.
• LiDAR Point Clouds - Expanded by over 200,000 km2, now totalling close to 364,000 km²…”
#GIS #spatial #mapping #Canada #HRDEM #mosaic #LiDAR #elevation #NationalElevationDataStrategy #pointcloud #ArcticDEM #building #footprints #geographic #coverage #progress #opendata #Canadian #arctic #remotesensing #earthobservation #NaturalResourcesCanada -
Combining multi-scale Lidar technologies to understand tropical rainforest dynamics
Tropical rainforests are crucial yet vulnerable ecosystems that store vast amounts of carbon and shelter remarkable biodiversi…
#NewsBeep #News #Technology #airborneLidar #AU #Australia #canopy #carbon #Climatechange #datacollection #Ecosystems #laserscanning #Lidar #Mapping #monitoring #pointcloud #pointclouddata #remotesensing #RIEGL #terrestriallaserscanning #TLS #UAV-Lidar
https://www.newsbeep.com/au/179858/ -
Deep-Learning-Based Object Detection And Tracking Of Debris Flows In 3D Through Lidar-Camera Fusion
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https://doi.org/10.1109/TGRS.2025.3609573 <-- shared paper
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[As an engineering geologist, I have been fortunate enough (sic) to see debris flows in action (indeed, I was rerouted on the motorcycle because of them) on the Poudre Canyon Road in Colorado, after the 2020 Cameron Peak Fire]
#GIS #spatial #mapping #debrisflow #geology #engineeringgeology #geology #massmovement #postfire #wildfire #water #sediment #hydrology #extremeweather #model #modeling #AI #deepleaning #algorithms #objectdection #monitoring #remotesensing #LiDAR #pointcloud #landform #geomorphometry #video #massmovement #risk #hazard #assessment #damage #infrastructure #rock #boulder #cost #economics #realtime #3D #wave #flow #dynamics -
Development Of An Optimized Survey Workflow For Sandy Beaches With Mapping-Grade Mobile LIDAR
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https://doi.org/10.2112/JCOASTRES-D-24-00056.1 <-- shared paper
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#GIS #spatial #mapping #beach #sandy #coast #coastal #corridor #surveying #remotesensing #LiDAR #workflow #calibration #HiWayMapper #vehicle #UTV #4wd dataprocessing #postprocessing #GNSS #navigation #imagery #pointcloud #dunes #foredunes #geomorphology #geomorphometry #rmse #error #accuracy #precision #evaluation #metrics #shoreline #seasonal #dynamics #marine #waves #erosion #deposition -
Development Of An Optimized Survey Workflow For Sandy Beaches With Mapping-Grade Mobile LIDAR
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https://doi.org/10.2112/JCOASTRES-D-24-00056.1 <-- shared paper
--
#GIS #spatial #mapping #beach #sandy #coast #coastal #corridor #surveying #remotesensing #LiDAR #workflow #calibration #HiWayMapper #vehicle #UTV #4wd dataprocessing #postprocessing #GNSS #navigation #imagery #pointcloud #dunes #foredunes #geomorphology #geomorphometry #rmse #error #accuracy #precision #evaluation #metrics #shoreline #seasonal #dynamics #marine #waves #erosion #deposition -
Development Of An Optimized Survey Workflow For Sandy Beaches With Mapping-Grade Mobile LIDAR
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https://doi.org/10.2112/JCOASTRES-D-24-00056.1 <-- shared paper
--
#GIS #spatial #mapping #beach #sandy #coast #coastal #corridor #surveying #remotesensing #LiDAR #workflow #calibration #HiWayMapper #vehicle #UTV #4wd dataprocessing #postprocessing #GNSS #navigation #imagery #pointcloud #dunes #foredunes #geomorphology #geomorphometry #rmse #error #accuracy #precision #evaluation #metrics #shoreline #seasonal #dynamics #marine #waves #erosion #deposition -
Development Of An Optimized Survey Workflow For Sandy Beaches With Mapping-Grade Mobile LIDAR
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https://doi.org/10.2112/JCOASTRES-D-24-00056.1 <-- shared paper
--
#GIS #spatial #mapping #beach #sandy #coast #coastal #corridor #surveying #remotesensing #LiDAR #workflow #calibration #HiWayMapper #vehicle #UTV #4wd dataprocessing #postprocessing #GNSS #navigation #imagery #pointcloud #dunes #foredunes #geomorphology #geomorphometry #rmse #error #accuracy #precision #evaluation #metrics #shoreline #seasonal #dynamics #marine #waves #erosion #deposition -
Development Of An Optimized Survey Workflow For Sandy Beaches With Mapping-Grade Mobile LIDAR
--
https://doi.org/10.2112/JCOASTRES-D-24-00056.1 <-- shared paper
--
#GIS #spatial #mapping #beach #sandy #coast #coastal #corridor #surveying #remotesensing #LiDAR #workflow #calibration #HiWayMapper #vehicle #UTV #4wd dataprocessing #postprocessing #GNSS #navigation #imagery #pointcloud #dunes #foredunes #geomorphology #geomorphometry #rmse #error #accuracy #precision #evaluation #metrics #shoreline #seasonal #dynamics #marine #waves #erosion #deposition -
OpenGeoAI - Artificial Intelligence for Geospatial Data
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https://opengeoai.org/ <-- OpenGeoAI home page
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https://github.com/opengeos/geoai <-- shared #GitHub #repository
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“[A] powerful new capability is coming to the GeoAI Python package: finding similar features in remote sensing imagery with DINOv3.
This feature leverages the DINOv3 pre-trained model to find similar features in remote sensing imagery with a single click…”
#GIS #spatial #mapping #dinov3 #GeoAI #AI #python #library #github #remotesensing #processing #imagery #comparasion #machinelearning #LiDAR #pointcloud #vector #model #modeling #earthobservation #software #opensource #geoai -
OpenGeoAI - Artificial Intelligence for Geospatial Data
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https://opengeoai.org/ <-- OpenGeoAI home page
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https://github.com/opengeos/geoai <-- shared #GitHub #repository
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“[A] powerful new capability is coming to the GeoAI Python package: finding similar features in remote sensing imagery with DINOv3.
This feature leverages the DINOv3 pre-trained model to find similar features in remote sensing imagery with a single click…”
#GIS #spatial #mapping #dinov3 #GeoAI #AI #python #library #github #remotesensing #processing #imagery #comparasion #machinelearning #LiDAR #pointcloud #vector #model #modeling #earthobservation #software #opensource #geoai -
OpenGeoAI - Artificial Intelligence for Geospatial Data
--
https://opengeoai.org/ <-- OpenGeoAI home page
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https://github.com/opengeos/geoai <-- shared #GitHub #repository
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“[A] powerful new capability is coming to the GeoAI Python package: finding similar features in remote sensing imagery with DINOv3.
This feature leverages the DINOv3 pre-trained model to find similar features in remote sensing imagery with a single click…”
#GIS #spatial #mapping #dinov3 #GeoAI #AI #python #library #github #remotesensing #processing #imagery #comparasion #machinelearning #LiDAR #pointcloud #vector #model #modeling #earthobservation #software #opensource #geoai
