Cloud2Cloud is a repository designed to assist users in loading, displaying, and manipulating point cloud data in Google Colab. The repository provides a set of Python scripts and utilities to work with point cloud data, including reading point cloud files, visualizing point clouds, and performing various point cloud processing tasks.
- Loading point cloud data from various file formats (e.g., LAZ, LAS, Potree Octree format).
- Efficiently reading point cloud data within a specified bounding box.
- Visualizing point cloud data in Google Colab.
- Performing point cloud processing tasks, such as reclassification of points.
This script provides functions to read point cloud data stored in the Potree Octree format. It includes functions to read metadata, hierarchy, and point data from Potree .bin files. The script also demonstrates how to efficiently load point data within a specified bounding box. The read_metadata function reads the metadata JSON file, the read_hierarchy_bin function reads the hierarchy information from the hierarchy.bin file, and the read_octree_bin function reads point data from the octree.bin file based on the specified bounding box.
The scripts in this repository can be used in Google Colab notebooks to work with point cloud data. Users can load point cloud data from various file formats, visualize the point cloud, and perform point cloud processing tasks directly in Google Colab.
- Federal (data) - https://download-telecharger.services.geo.ca/pub/elevation/pointclouds_nuagespoints/NRCAN/
- Nova Scotia (map interface) - https://nsgi.novascotia.ca/datalocator/elevation/
- New Brunswick (map interface) - https://geonb.snb.ca/li/
- -- ie https://geonb.snb.ca/downloads2/lidar/2017/erd2/laz/nb_2017_2648000_7492000.laz
- opentopography (map interface) - https://portal.opentopography.org/datasets
- NOAA (map interface) - https://coast.noaa.gov/dataviewer/#/lidar/search/
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Potree: A WebGL-based point cloud renderer for large point clouds. Potree GitHub Repository
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PDAL: Point Data Abstraction Library for processing point cloud data. PDAL GitHub Repository
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LAZ Compression: A lossless compression format for point cloud data. LAStools GitHub Repository
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Open3D: A library for 3D Data processing. Open3D GitHub Repository
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Pyntcloud: a python library for working with 3D point clouds. Pyntcloud GitHub Repository
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Whitebox Tools: An advanced geospatial data analysis platform. Whitebox Tools GitHub Repository
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PyPotree : potree viewer for google colab. PyPotree GitHub Repository
The implementations provided in this repository are for demonstration purposes and may not cover all use cases or provide optimal performance. Users are encouraged to use specialized libraries (e.g., PDAL, Potree) for production use cases.
Contributions to the Cloud2Cloud repository are welcome. If you have any suggestions, improvements, or bug fixes, please feel free to submit a pull request or open an issue on the GitHub repository.