PDAL
A C++ library for translating and manipulating point cloud data, analogous to GDAL for raster/vector data.
What is PDAL?
PDAL (Point Data Abstraction Library) is an open-source C++ library and toolkit for translating, processing, and manipulating point cloud data. It solves the problem of interoperability between different point cloud formats and provides a consistent API for point cloud operations, similar to how GDAL handles raster and vector geospatial data.
Geospatial developers, researchers, and engineers working with LiDAR, photogrammetry, or other point cloud data sources who need to read, write, filter, or analyze point cloud data programmatically.
Developers choose PDAL because it provides a standardized, extensible framework for point cloud data manipulation with support for numerous formats, a flexible processing pipeline, and robust command-line tools, eliminating the need to write custom parsers for each point cloud format.
Overview
PDAL is Point Data Abstraction Library. GDAL for point cloud data.
Use Cases
Best For
- Converting point cloud data between different file formats (LAS, LAZ, BPF, etc.)
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