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Excited to share that maplibre-gl-lidar v0.6.0 is now available! This release adds support for the Entwine Point Tile (EPT) format ( making it possible to stream and visualize billions of LiDAR points directly in the browser with ease and performance. The demo below showcases the visualization of an incredible...

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Qiusheng Wu

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13,071 views • 7 months ago •via X (Twitter)

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19,106 views • 2 months ago

I'm excited to introduce GeoLibre, a lightweight, cloud-native desktop GIS built with MapLibre GL JS and Tauri. GeoLibre is designed for modern geospatial workflows, combining the flexibility of web technologies with the performance of a native desktop application. The current prototype includes a MapLibre-powered map workspace, local vector data import, project persistence, and built-in plugins for basemaps, layer control, swipe, street view, lidar, GeoAgent, and GeoEditor integrations. GeoLibre can run directly in a web browser or as a standalone cross-platform desktop application (<30 MB). GitHub: Website: Live demo: Feedback, ideas, and contributions are welcome. #GeoLibre #GIS #Geospatial #MapLibre #OpenSource #CloudNative
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34,699 views • 2 months ago

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39,504 views • 2 months ago

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29,789 views • 2 months ago

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42,457 views • 2 months ago

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Qiusheng Wu

11,802 views • 2 months ago

NEWS: Rivian haș unveiled its Autonomy chip and Gen 3 Autonomy Computer, which the company says is designed to solve the needs of autonomous driving. Chip: • Mutli-chip module • TSMC 5nm • Neural engine: Rivian designed • 800+ TOPS • In-house designed software stack "RAP1 powers the company’s third-generation Autonomy computer, the Autonomy Compute Module 3. Key specs include: • 1600 sparse INT8 TOPS • The processing power of 5 billion pixels per second. • RAP1 features RivLink, a low latency interconnect technology allowing chips to be connected to multiply processing power, making it inherently extensible. • RAP1 is enabled by an in-house developed AI compiler and platform software.” Rivian: “In addition to ACM3, Rivian plans to integrate LiDAR into future R2 models. LiDAR will augment the company’s multi-modal sensor strategy, providing detailed, three-dimensional spatial data and redundant sensing, and improving real-time detection for the edge cases of driving. Our Gen 3 Autonomy hardware including ACM3 and LiDAR is currently undergoing validation and we expect it to ship on R2 models starting at the end of 2026.”
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Sawyer Merritt

148,029 views • 8 months ago

🎁 A New Year’s gift to the geospatial community: a brand-new QGIS plugin that unlocks access to 80+ petabytes of satellite imagery and geospatial datasets with zero coding required. In my first video of 2026, I’m excited to share what might be one of the most powerful QGIS plugins I’ve built so far. This plugin makes it incredibly easy to explore the official Earth Engine Data Catalog and the Awesome GEE Community Catalog directly inside QGIS. With just a few clicks, you can browse massive Earth Engine datasets, visualize them on the map, generate time series from ImageCollections, export data for further analysis, and even convert Earth Engine JavaScript workflows to Python, all without writing a single line of code. If you’ve ever wanted the power of Earth Engine inside QGIS without the learning curve, this plugin is for you. 👉 Download the plugin and follow the full step-by-step video tutorial to get started today: QGIS Plugin Page: GitHub Repository: Video Tutorial: Happy New Year, and I hope this tool helps you do more with geospatial data in 2026 🚀 #QGIS #geospatial #EarthEngine #Python #datascience
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🎁 A New Year’s gift to the geospatial community: a brand-new QGIS plugin that unlocks access to 80+ petabytes of satellite imagery and geospatial datasets with zero coding required. In my first video of 2026, I’m excited to share what might be one of the most powerful QGIS plugins I’ve built so far. This plugin makes it incredibly easy to explore the official Earth Engine Data Catalog and the Awesome GEE Community Catalog directly inside QGIS. With just a few clicks, you can browse massive Earth Engine datasets, visualize them on the map, generate time series from ImageCollections, export data for further analysis, and even convert Earth Engine JavaScript workflows to Python, all without writing a single line of code. If you’ve ever wanted the power of Earth Engine inside QGIS without the learning curve, this plugin is for you. 👉 Download the plugin and follow the full step-by-step video tutorial to get started today: QGIS Plugin Page: GitHub Repository: Video Tutorial: Happy New Year, and I hope this tool helps you do more with geospatial data in 2026 🚀 #QGIS #geospatial #EarthEngine #Python #datascience

Qiusheng Wu

85,157 views • 7 months ago

A sneak peek at the upcoming QGIS OpenGeoAgent plugin! Run geospatial analysis and visualization using natural language, powered by over 480 geoprocessing tools from WhiteboxTools. This brings a new level of accessibility to advanced spatial workflows directly inside QGIS, making it easier to explore, analyze, and visualize data without writing code. Explore the projects: • GeoAgent: • whitebox-python: • WhiteboxTools: Huge credit to Dr. John Lindsay Whitebox Geospatial for developing WhiteboxTools! #QGIS #geospatial #opensource
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A sneak peek at the upcoming QGIS OpenGeoAgent plugin! Run geospatial analysis and visualization using natural language, powered by over 480 geoprocessing tools from WhiteboxTools. This brings a new level of accessibility to advanced spatial workflows directly inside QGIS, making it easier to explore, analyze, and visualize data without writing code. Explore the projects: • GeoAgent: • whitebox-python: • WhiteboxTools: Huge credit to Dr. John Lindsay Whitebox Geospatial for developing WhiteboxTools! #QGIS #geospatial #opensource

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Want to give #MHStories3 a try? Here's a quick overview of what awaits in the content packed free demo. Share this with a friend looking for a game to play this weekend! Play for free now and carry save data over to the full game.
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Monster Hunter

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Did you know that Facebook made $134.9 billion in 2023 from selling your data? Our society has come to the point where we accepted an unfair model in which privacy is being exploited and data gifted to big tech that is selling it for billions. We intend to break the norm of how data is shared on the internet because it is outdated and unfair. You should be empowered with more control and monetization models for your data!
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Did you know that Facebook made $134.9 billion in 2023 from selling your data? Our society has come to the point where we accepted an unfair model in which privacy is being exploited and data gifted to big tech that is selling it for billions. We intend to break the norm of how data is shared on the internet because it is outdated and unfair. You should be empowered with more control and monetization models for your data!

Solana ID 🪷

30,458 views • 1 year ago

$OUST Ouster is a made in USA play on solid state/digital LiDAR to be used in: -Defense: Anduril drones and cleared by DOD for use in other unmanned systems across the industry -Robotics: last mile driverless delivery, mapping, and humanoid robotics sensors/coordination -Industrial: warehouse automation, agriculture, mining, and construction -Smart City Infrastructure: transportation systems/roads and traffic management, perimeter security, crowd analytics -Automotive: robotaxi, robotrucking, shuttles/busses Digital/solid state lidar benefits from no moving parts and benefits from greater ease of integration into applications (no giant spinning thing). Ouster also makes it's own data processing chips for Lidar as well as mapping software. With the push away from China tech, this one stands to benefit in the coming AI/automation revolution. With a targeted 40% annual growth and 40% gross margins, as well as such a large TAM; it is an interesting play at ~$20, $1B marketcap. It is breaking out after years of consolidation.
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$OUST Ouster is a made in USA play on solid state/digital LiDAR to be used in: -Defense: Anduril drones and cleared by DOD for use in other unmanned systems across the industry -Robotics: last mile driverless delivery, mapping, and humanoid robotics sensors/coordination -Industrial: warehouse automation, agriculture, mining, and construction -Smart City Infrastructure: transportation systems/roads and traffic management, perimeter security, crowd analytics -Automotive: robotaxi, robotrucking, shuttles/busses Digital/solid state lidar benefits from no moving parts and benefits from greater ease of integration into applications (no giant spinning thing). Ouster also makes it's own data processing chips for Lidar as well as mapping software. With the push away from China tech, this one stands to benefit in the coming AI/automation revolution. With a targeted 40% annual growth and 40% gross margins, as well as such a large TAM; it is an interesting play at ~$20, $1B marketcap. It is breaking out after years of consolidation.

YeahDave

81,362 views • 1 year ago