Processing of larger scale aerial data as a test of bulk capability

[iannesbitt]

OpenTopography is a repository that stores a large amount of CC-0 LiDAR point cloud data. Since OpenTopography is about to become a member node of DataONE (see DataONEorg/member-repos#15), this presents an opportunity to scale up portal visualization processing and display.

A good test of that capability might be to process a large dataset such as this Dangermond survey (edit: from 2019, published in 2022) into Cesium tiles for portal visualization. This would allow for both a benchmark test of efficiency processing a mid volume (65 GB or nearly 8 billion points) dataset as well as a test of true aerial rather than ground and low altitude data such as is represented in DRP, which the workflow was built to accommodate initially.

[iannesbitt]

@mbjones there is a way to determine whether a dataset is LAS or not. The SID of the Dangermond LAS dataset is OTLAS.042022.32611.1 whereas the vegetation-removed DEM version's SID is OTSDEM.042022.32611.1.

[mbjones]

That's great. So, processing the Dangermond dataset and thinking about how to apply this more broadly would be a great side project when things are slow (🤯 ).