Jupyter Notebook-based workflows for programmatically accessing, processing, and visualizing 3D Elevation Program (3DEP) lidar data
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Updated
Sep 16, 2024 - Jupyter Notebook
Jupyter Notebook-based workflows for programmatically accessing, processing, and visualizing 3D Elevation Program (3DEP) lidar data
A series of jupyter notebook pipelines for processing lidar point clouds (LAS files) and deriving vegetation structure metrics.
Notebooks for the lidar-processor repository
Notebook created by OpenTopography highlighting RayShader for 2D & 3D topographic data visualizations.
Data sets, Jupyter notebooks, R scripts, Python scripts, analysis reports, and visualizations.
Semantic segmentation of LIDAR point clouds from the KITTI-360 dataset using a modified PointNet2. This is a Python and PyTorch based implementation using Jupyter Notebooks.
Some ipython notebooks, to display and explore 3D LIDAR data. Also an interactive binder version.
A Jupyter notebook that demonstrates a Python™ implementation of NASA's Airborne Topographic Mapper (ATM) centroid tracker and compares it with results from the equivalent MATLAB® function.
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