PDAL is GDAL for point cloud data https://xitter.cf/t.co/XJERJbBkm3
Joined August 2011
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PDAL retweeted
Thanks!
An opportunity for a warm shoot-out to @Mapbox as well as all OSS libraries and standards we use to store and retrieve our 3D scans on our platform (#potree from @m_schuetz, @CesiumJS #3Dtiles, @pointcloudpipe from @howardbutler team)
PDAL retweeted
Listen to me and @StevenFeldman on this week's @geomob podcast thegeomob.com/podcast/episod… if you want to learn more about @pointcloudpipe, how @GdalOrg raised resources from its sponsors, and how it developed its sponsorship program with @NumFOCUS.
PDAL retweeted
New blog: Cloud Optimized Point Cloud (#COPC) bertt.wordpress.com/2022/03/…
Live demo: viewer.copc.io?state=65df1fc…
PDAL retweeted
Free to use urban #pcl Point cloud data in #laz and #ept:
cartolab.udc.es/geomove/dato…
Published after three years of the original work that generated pdaltools #qgis plugin when #pdal was not yet integrated in qgis. FYI @pointcloudpipe. Remembering @rapidlasso
PDAL retweeted
I’ve was asked here why we developed COPC.io, and the reason is without open data formats and specifications, there is no open source software. @LAStools and #laszipforever are only viable because of @ASPRSorg LAS.
Congratulation @LAStools on winning the 2022 @GeoWeekNews Outstanding Personal Achievement in LiDAR Award. Much deserved and much missed. I’m so glad @Sista1975 could come to accept it for @rapidlasso. #laszipforever
PDAL retweeted
Did you know the COPC.io specification went final at the end of last month? The recent @qgis crowdfunding effort by @lutraconsulting is adding rendering support, and @pointcloudpipe is being updated as well. #laszipforever
ALT copc.io logo
PDAL retweeted
Thanks @tiledb for contributing PDAL's enhanced Python API. Thanks to this, you can now compose PDAL operations in Python instead of just passing JSON to PDAL. It should open up huge possibilities for people mixing point clouds with Python's ML machinery.
Thanks to @tiledb, @pointcloudpipe now has an enhanced Python API that support composition, meshio, streaming, and better numpy support. Grab the source from pypi.org/project/PDAL/ or wait for @condaforge to catch up its feedstock.
PDAL retweeted
I wrote something about @LAStools for @lidarmag. It is still frustrating and sad that he's gone. lidarmag.com/2021/10/30/in-m…
PDAL retweeted
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
copc.io
PDAL retweeted
Kirk Waters from @NOAADigCoast provides an extensive blog post on how to use @entwineio and @pointcloudpipe to access and visualize their point cloud holdings with #potree. #foss4g #geochat geozoneblog.wordpress.com/20…
PDAL retweeted
I will be presenting on @pointcloudpipe, @entwineio, usgs.entwine.io, and point cloud processing for the Iowa Geographic Information Council's Lunch n Learn series this Wednesday at noon CDT. Join us if it looks interesting! iowagic.org/event/lunch-lear…
PDAL retweeted
Help us mature the copc.io specification for a @cogeotiff equivalent for point clouds. We just posted a brand new scan of @SoFiStadium from @NCALM_UH and @ArmyERDC CRREL RS/GIS lab.
@NCALM_UH and @ArmyERDC recently captured @SoFiStadium that is now available as a 2.3gb example COPC LAZ file. Visit the spec copc.io/DRAFT-SPEC.html to find its location and please join us in @github github.com/copcio/copcio.git… to help improve the COPC specification as it matures.
PDAL retweeted
Cloud Optimized Point Cloud, or COPC, seeks to live in the same niche as COG does for raster data, which allows for single-file storage of a the most common container format with support for spatially accelerated incremental remote access. Read up on it at copc.io/DRAFT-SPEC.html
PDAL retweeted
1/ Lidar intensity values often add meaningful context, but sometimes these values, at least for visualization purposes, are not ideal.
PDAL retweeted
Experimenting with different ways to visualize categorical labels in point cloud data. Autzen LAZ courtesy @pointcloudpipe used under CC-BY-4.0 / 12-class Paired color scheme enhanced with ambient occlusion using @CloudCompareGPL. grovercsllc.com/
PDAL retweeted
#PDAL - Point Data Abstraction Library it's like #GDAL just for point clouds - "the third #geospatial data type"
@howardbutler shares some brilliant insights
Thanks for your support @OSGeo!
listen here: open.spotify.com/episode/2ek…
PDAL retweeted
Piling on - @pointcloudpipe and @howardbutler were instrumental to @pixel8earth and we are huge fans of both! I think PDAL is going to be instrumental to the future of geo and we are collectively just starting to realize it.
#PDAL - Point Data Abstraction Library it's like #GDAL just for point clouds - "the third #geospatial data type"
@howardbutler shares some brilliant insights
Thanks for your support @OSGeo!
listen here: open.spotify.com/episode/2ek…