Almost finished with the COPC – Cloud Optimized Point Cloud – specification. Please read through the draft and let us know any issues you might find before we go final in the next week or two! #FOSS4G2021#lidar#laszip#lastoolsforever
https://t.co/XFT132VlvE
Tomorrow at #ESIPfed: Trevor Skaggs, Sr. Geospatial Engineer, will present on Entwine at The Saga Continues: Cloud-Optimized Data Formats session. Details here: https://t.co/A05ETQdBjR
@jstoker74@howardbutler@USGS@entwineio@jstoker74 really cool data, as a Chicagoan I sunk a bit too much time browsing around this yesterday. Here are some Potree links to various landmarks and regions in this data: https://t.co/cenTa8oWCN
@USGS has continued to update and refresh the AWS Public Dataset with @entwineio EPT data. Practice virtually running from B to C at ORD using #potree and recently added Cook County IL #3DEP#lidar data in your browser. https://t.co/vOIAfqvNr7
@DesgrangeRemi No OGC service exists for point cloud data, but the @entwineio EPT would make an excellent candidate. https://t.co/npWoyzqKLH It scales to trillions, only describes point clouds, and allows alternate content encodings.
Don't miss @csmannin present "Continental Scale Point Cloud Data Management and Exploitation" at #FOSS4G2019 on this Friday at 1500 local (0900 EDT on the live stream at https://t.co/5LwvYQnIl2 ). #foss4g
View all 24 billion points of @CityofHobbs mobile LiDAR in #potree at https://t.co/Nv99lNnuu2 built using @entwineio and @pointcloudpipe. Hobu, Inc. collaborated with @BohannanHuston to bring data from @Transcend_GIS to AWS for convenient public viewing and exploitation.
PDAL 1.9.0RC1 now available https://t.co/XKkT7tWSpB Notable additions are support for TileDB, a writer for @entwineio sidecar data, and default spatial reference support.
lidar 🔦 drones 🚁and vineyards 🍇
486 million points from three flights
0.034m vertical accuracy
all in your browser
thanks to @entwineio, @pointcloudpipe, and #potree
and thanks to Law Estates vineyards for letting us fly
https://t.co/PjbVRVA45u
Potree also supports the @entwineio (EPT) format, an alternative to the PotreeConverter that supports >100 billion points, thanks to @howardbutler and @csmannin
see: https://t.co/FVLgi4a7Ol
Some impressive demos:
https://t.co/KGuRNOpqv6
https://t.co/Jhb5mSTgzV
@condaforge Conda-based @entwineio builds means the Quickstart can now get you going really fast on OSX, Linux64, or Win64. Follow along at https://t.co/L03OEnvvYA
Entwine is now available via @condaforge! OSX, Linux64, and Win64 builds are available to process and organize point cloud data. https://t.co/rWnL7XlcZi https://t.co/Hu7LRMkCmX
@entwineio@condaforge You can see EPT in action at https://t.co/FQ5nEKTeSo. We're excited to bring EPT to the Potree community as a lossless-data replacement for PotreeConverter. The next release of Potree should have full support for EPT. PDAL 1.8.0 also provides full support https://t.co/wKlxTvKagI
Entwine 2.0 now released https://t.co/q7ew7WWTPa and it defines Entwine Point Tiles https://t.co/VpdBVtEG5o to provide a static octree tiling for massive point clouds based on LASzip. @condaforge packages for OSX, Win64, and Linux forthcoming in the next few days.