Jupyter Notebook-based workflows for programmatically accessing, processing, and visualizing 3D Elevation Program (3DEP) lidar data

A stochastic agent-based model for predicting raptor movements during updraft-subsidized directional flights

Workspace sample to list and download Las data from the USGS 3DEP project

A Python module that allows for easy access to Light Detection and Ranging (lidar) point cloud data. It also includes a module to visualize and transform publicly available satellite and LIDAR data.

Create lidar derived contours from USGS lidar data, with intermediate steps to download, convert, and process many lidar tiles from USGS 3DEP program

A module for manipulation lidar data from 3dep