The Airborne Observation Platform (AOP) that is part of the standard data collection by the National Ecological Observatory Network (NEON) provides high resolution RGB camera imagery, discrete and waveform lidar, and hyperspectral remote sensing data products from 81 terrestrial and aquatic sites from across the US. The coincident collection of AOP data with over 150 additional NEON data products provides a rich resource for carrying ecological research at multiple scales. This workshop focuses on remote sensing of vegetation and landforms using open source tools and reproducible science workflows -- the primary programming language will be Python. Through data intensive live-coding, use of existing scripts and Python modules, and short presentations we will cover topics including: fundamental concepts required to download, visualize, process, and analyze NEON hyperspectral and LiDAR data, scientific spatio-temporal applications of remote sensing data using open-source tools, namely Python and Jupyter Notebooks. The workshop will culminate with an exercise that brings together lidar, hyperspectral, and camera imagery to carry out a post-fire burn detection. Participants will leave with a suite of open-source Python tools at their disposal which can be leveraged to further their own research interests, as well as knowledge of how to access NEON data and resources to investigate ecological questions.
The workshop is limited to 40 participants – make sure to secure your spot by signing up by Dec 2, 2019! If spaces are available, registration may be extended beyond this date.
This workshop is not affiliated with the AGU Annual Meeting and participants in this workshop do not have to be registered for the AGU meeting.
Location: San Francisco, CA. Additional details will be provided to registered participants.
Date: Wednesday December 11th from 1:00-2:30 PM PT (local time)
| Time | Topic |
|---|---|
| 12:30 | |
| 13:00 | Introduction to NEON AOP Data |
| 13:20 | NEON RBG Camera Data |
| 13:30 | NEON Lidar Data |
| 14:00 | NEON Hyperspectral Data |
| 14:30 | End of Workshop |
Please get in touch with the instructors prior to the workshop with any questions.
Please tweet using #NEONData & @NEON_Sci during this workshop!
San Francisco, CA
United States