hobuinc

Open source point clouds.

[hobuinc @hobuinc]

Subscribe to our newsletter and find out what we've been up to including:

* New open source software for forestry metrics – SilviMetric
* Howard at GeoWeek
* Eptium updates for direct rendering of COGs in Cesium
* PDAL release updates

https://t.co/DsDetBFu5H

[hobuinc @hobuinc]

Visit https://t.co/kjxxD7QsQN from @hobuinc to explore, scan, and visualize #COPC and LAS/LAZ #lidar data right in your browser. Visit https://t.co/mH8NLwu10g to see it in action or visit https://t.co/kjxxD7QsQN to drag-n-drop your own COPC or LAS/LAZ content onto the page.

[hobuinc @hobuinc]

@howardbutler wrote a @pointcloudpipe tutorial for Google Colab that shows how to use the PDAL Python bindings to produce DSM, DTM, Intensity, and CHM products for anywhere there is data. Learn more at https://t.co/eEB6nOp9DR

[@[email protected] @howardbutler]

New @USGS 3DEP LiDAR data for Eastern Iowa has been released. Explore downtown @CityOfIowaCity using the @hobuinc lidar viewer or find more data at https://t.co/YwyZa98BTN https://t.co/CmcZaX34i6

[hobuinc @hobuinc]

Do you have a country's worth of #lidar data and you're not sure how to manage it? Contact @hobuinc to learn how to apply https://t.co/v4wqOPTJXo and @entwineio technologies for the management of continental scale point clouds https://t.co/EMJEMlIqRT

[@[email protected] @rjhale]

What's happening in Nashville at the FOSS4G Meetup? @howardbutler is gonna keynote this thing on December 1st. Yes - the Howard Butler. https://t.co/PY3muyWQnY #QGIS #FOSS4g #postgis

[@[email protected] @howardbutler]

Everything I said about @Esri zLAS and LASzip to the @OSGeo board in 2015 still holds true today *except* LAZ has now gained an opt-in spatially organized variant in the form of https://t.co/plxfNB1Azg and the code has been relicensed as APL https://t.co/gZBFpesf8G

[hobuinc @hobuinc]

@implgeo @howardbutler @connor2n2o @sourcepole I hope @whiteboxgeo sees this too.

[hobuinc @hobuinc]

Come find @howardbutler or @connor2n2o at #FOSS4G next week to get some https://t.co/v4wqOPTJXo swag and chat about large scale point cloud data management. Howard will be presenting about COPC on Wednesday at 4:15 in the Auditorium.

[hobuinc @hobuinc]

@implgeo @howardbutler @connor2n2o @sourcepole Indeed. Please make a PR to https://t.co/Elw380Kujr adding your implementation!

[hobuinc @hobuinc]

Look at all of the currently delivered @USGS 3DEP #lidar data for Iowa in your web browser using the @hobuinc COPC/EPT viewer from @connor2n2o based on @CesiumJS by visiting https://t.co/mkFgyiCnqT #gischat

[hobuinc @hobuinc]

We're excited to help get point cloud streaming of massive point clouds to the bathymetric software domain!

[QPS @QPSofficial]

Fledermaus just released its latest version 8.5.0! Check out 5.8 million points streaming from network directly into your scene. Read more in the release notes: https://t.co/hWRvndao3K #qpssoftware #fledermaus

[hobuinc @hobuinc]

Please reach out if your organization is interested in cloud-based bulk access to lidar point cloud datasets from Finland, Sweden, Latvia, Lithuania, Estonia, or Poland. Our cloud work has us gathering them, and you can pay us to save trouble on the automation and processing.

[hobuinc @hobuinc]

The @hobuinc team is asking users of the AWS USGS 3DEP Open Dataset to provide survey feedback to help with the organization, management, and roadmap of the effort. If you are a user of the data, please chime in with some feedback at https://t.co/hGp3eJsX6q

[hobuinc @hobuinc]

@connor2n2o recently enhanced the COPC viewer to support @entwineio EPT. Paste in any HTTP-readable ept.json or COPC resources and create view snapshots with the "Create link" button. https://t.co/dFPahrqpjb

[@[email protected] @howardbutler]

Python Rtree 1.0.0 released, with wheels, wheels, wheels. All the wheels. It only took us 14 years to get to 1.0.0 @sgillies @lutraconsulting https://t.co/mnhoaLeFEc https://t.co/oW829a09WG

[hobuinc @hobuinc]

A notebook from @howardbutler shows how https://t.co/v4wqOPTJXo and @pointcloudpipe can process large LiDAR point cloud data conveniently, quickly, and efficiently. https://t.co/gdlDFffAEJ