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This repository contains a Jupyter notebook that demonstrates how to use OpenTopography tile indexes to programmatically find and download lidar data for specific regions. It also presents a cloud-native PDAL workflow for streaming and processing point cloud data on-the-fly without the need for local storage.

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NSF-2410799 NSF-2410800 NSF-2410801

Programmatic Access to OpenTopography Lidar Data via Tile Indexes

This repository provides a Jupyter notebook example showcasing two complementary approaches for accessing and working with tiled point cloud datasets.

The first method uses an OpenTopography tile index to automatically locate and download only the files that intersect a chosen area of interest.

The second introduces a cloud-native workflow powered by PDAL, which streams point cloud data directly from remote storage—enabling clipping and processing on-the-fly without the need to download lidar tiles locally.

Email: info@opentopography.org with any questions or comments

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This repository contains a Jupyter notebook that demonstrates how to use OpenTopography tile indexes to programmatically find and download lidar data for specific regions. It also presents a cloud-native PDAL workflow for streaming and processing point cloud data on-the-fly without the need for local storage.

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