.. contents:: Contents :depth: 2
This AWS Public Dataset project is about processing the USGS 3DEP LiDAR point cloud data into a form that is cloud-friendly, streamable, lossless, and convenient.
The main landing page on AWS for the project is at https://registry.opendata.aws/usgs-lidar/
Public 3DEP LiDAR data is available in two forms on AWS:
A Requester Pays <https://docs.aws.amazon.com/AmazonS3/latest/dev/RequesterPaysBuckets.html>_
bucket at s3://usgs-lidar containing many of the USGS resources
available as full-density LASzip tiles
A public access bucket at s3://usgs-lidar-public containing EPT resources
mirroring many (but not all) of the resources in #1.
Entwine ................................................................................
A description of the EPT format, which is a hierarchical format arranged by
progressive level-of-detail, is contained at
https://entwine.io/entwine-point-tile.html. EPT was chosen as the service
mechanism for this data due to its scalability potential to trillions of
points, flexibility, and its ease of use via open source infrastructure like
PDAL, LASzip, Potree, and Plasio.js_.
To generate EPT datasets for your own data with Entwine, visit the quickstart <https://entwine.io/quickstart.html> and browse the configuration documentation <https://entwine.io/configuration.html> for more advanced
usage.
Processing ................................................................................
Data processing with Entwine_ was performed on AWS EC2 c5d.9xlarge
instances using S3 <https://aws.amazon.com/s3/>__ for output storage.
Currently, there are more than 10 trillion LiDAR points available in over 950
distinct resources.
Visualization ................................................................................
The point cloud data may be visualized with Potree or
Plasio.js via the index at http://usgs.entwine.io.
Coordinate System ................................................................................
The EPT data is accessible via EPSG:3857 <https://epsg.io/3857> for ease of web usage - with PDAL the
data can be reprojected on the fly with the reprojection filter <https://pdal.io/stages/filters.reprojection.html> which can be used in
combination with other processing pipeline stages.
The EPT reader <https://pdal.io/stages/readers.ept.html>_ within PDAL
may also be used to select areas of data for use locally.
Entwine_PDAL readers.eptPotree_Plasio.js_.. readers.ept: https://pdal.io/stages/readers.ept.html
.. Potree: http://potree
.. _Plasio.js: https://github.com/hobu/plasio.js
Thank you to the multiple organizations that have supported the development of the USGS 3DEP LiDAR dataset.
USACE CRREL ................................................................................
.. image:: ./images/rsgis_logo.png :target: http://www.erdc.usace.army.mil/Locations/CRREL.aspx :scale: 30%
The US Army Corps of Engineers Remote Sensing / GIS Center of Expertise at
CRREL sponsored the processing and development of the AWS 3DEP Public Dataset
in multiple ways. First, it sponsored the development and continuing support of PDAL and Entwine
open source software libraries, which were used to process and manage the data. Second,
it supported the processing and management of the 3DEP data to an Entwine Point Tiles_
public dataset.
Amazon Web Services Public Datasets Team ................................................................................
.. image:: https://d0.awsstatic.com/logos/powered-by-aws.png :target: https://registry.opendata.aws :scale: 30%
The AWS Public Datasets Team supported the effort by providing processing and
storage grants for the development of the EPT_ data and ongoing support by
making access to that data publicly available.
Hobu, Inc. ................................................................................
.. image:: ./images/hobu-logo-2C-white.png :target: https://hobu.co :scale: 30%
Connor Manning from Hobu, Inc. constructed the 3DEP EPT resources with
cloud processing and management tools from Hobu, Inc._.
.. Connor Manning: http://github.com/connormanning/
.. Hobu, Inc.: https://hobu.co
.. Entwine: https://entwine.io
.. PDAL: https://pdal.io
.. _CRREL: https://www.erdc.usace.army.mil/Locations/CRREL.aspx
.. Entwine Point Tiles: https://entwine.io/entwine-point-tile.html
.. EPT: https://entwine.io/entwine-point-tile.html
.. _LASzip: https://laszip.org
.. _AWS 3DEP Public Dataset: https://registry.opendata.aws/usgs-lidar/