Learn how to download and work with NEON LiDAR data using Python!
In this 1.5-hour online workshop, NEON scientist Bridget Hass will lead participants through programmatically downloading NEON LiDAR data using functions in Python. Then, participants will use Python packages and functions to explore some of NEON's Discrete LiDAR data products, including the Level-1 classified point cloud (Discrete return LiDAR point cloud), and Level-3 raster data products including the Digital Terrain Model and Digital Surface Model (DTM/DSM, Elevation - LiDAR), and Canopy Height Model (CHM, Ecosystem structure). For the first hour, participants can follow along with the live coding on their own computers and ask for help via chat if needed. The final 30 minutes are reserved for general Q&A and assistance.
Programming language: Python
Prerequisites: Basic familiarity with the Python language is very helpful, but not required.
Requirements for participation: Prior to the webinar, you will need Python 3.x installed on your computer, and Jupyter Notebooks or Spyder are recommended for following along with the live-coding. If you don't already have Python installed on your computer, we recommend downloading Anaconda. You will also need to install the following packages, using pip/conda install:
To test that the installations worked correctly, import each package and check that there are no error messages. For more detailed instructions on installation and Mac/Windows specific tips, please refer to the set-up instructions in the tutorial: https://www.neonscience.org/resources/learning-hub/tutorials/neon-discr….
If you have any problems with any of the Python package installations, use the Contact Us page.
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