Dual RGB Cameras Get Depth Sensing Powerup - It’s sometimes useful for a system to not just have a flat 2D camera view of thing... - https://hackaday.com/2025/06/19/dual-rgb-cameras-get-depth-sensing-powerup/ #digitalcamerashacks #machinelearning #depthcamera #depthsensor #pointcloud #dualrgb

The Affordable DIY Mandeye Lidar System For Surveying Caves, And How To Convert 3D Clouds Into Traditional Cave Ground Plans And Extended Profiles
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https://doi.org/10.5038/1827-806X.53.3.2535 <-- shared paper
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#GIS #spatial #mapping #LiDAR #cave #cavediving #cavemapping #speleology #workflow #survey #remotesensing #pointcloud #mobilemapping #3Dmapping #profile #model #modeling #3dmodel #opensource #openhardware #reproducible #affordable #DIY #Mandeye

Weeds Detection In A Citrus Orchard Using Multispectral UAV Data And Machine Learning Algorithms - A Case Study From Souss-Massa Basin, Morocco
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https://doi.org/10.1016/j.rsase.2025.101553 <-- shared paper
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#GIS #spatial #mapping #seedsdetection #citrusorchard #unmannedaerialvehicle #UAV #multispectralsensors #machinelearning #AI #modeling #model #deeplearning #agriculture #orchard #SoussMassa #Morocco ##citrus #groundcontrol #pointcloud #DSM #imagery #NDVI #NDWI #MLC #data #production #food #management #water #hydrology #fertiliser

The point cloud component of MapComponents is now able to adjust the view on the fly.

Do you have some point clouds of a factory console with pipes and valves overlapping each other? Now you can control the size of the points or the colour of the elements to make the 3D visualisation more workable for you.

The following example of our office was achived with a mobile phone recording. easily and quickly done in real position on the map with #MapComponents.

So much has happened in the last 3 months :) We have released many exciting tools for 3D on web maps or multi-screen working - like the "PointCloud on World Map" or the "3D Tiles Layer Demo". And quite impressive (at least technically, if not visually) is the "Multi-Tab Demo".

1. https://catalogue.mapcomponents.org/en/component-detail/PointCloud
2. https://catalogue.mapcomponents.org/en/component-detail/3dTilesLayer
3. https://catalogue.mapcomponents.org/en/component-detail/MultiTab

All open source and available on Github: https://github.com/orgs/mapcomponents

Webinar - Editing #LiDAR data in #QGIS 3.42 and beyond by @lutraconsulting

https://www.lutraconsulting.co.uk/blogs/webinar---editing-lidar-data-in-qgis-3-42-and-beyond

PyForestScan - A Python Library For Calculating Forest Structural Metrics From LiDAR Point Cloud Data
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https://doi.org/10.21105/joss.07314 <-- shared paper
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https://github.com/iosefa/PyForestScan <-- GitHub repository
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[disclaimer: I have not tried this library]
#GIS #spatial #mapping #JOSS #remotesensing #LiDAR #pointcloud #forest #structural #metrics #spatialanalysis #geostatistics #ecology #ecological #FHD #PAD #PyForestScan #model #modeling #opensource #Python #library #density #canopyheight #areaindex #DTM #output #PDAL #forest #forestry #monitoring #carbonaccounting

Airborne LiDAR - A Tutorial For 2025
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https://lidarmag.com/2024/12/30/airborne-lidar-a-tutorial-for-2025/ <-- shared technical article / tutorial
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#GIS #spatial #mapping #LiDAR #tutorial #remotesensing #elevation #topography #measurement #DTM #DEM #airborne #vegetation #pointcloud #multipleparts #onlinelearning #3d #onlinelearning #learning #sensor #surveygrade #drone #plane #ROV #UAV #laser #bathymetry #GPS #GNSS

Is there anyone here who has experience of exporting #PointCloud data from #CloudCompare and importing it successfully into #Blender?

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