Ecological Society of America
This interactive workshop focuses on the use of Google Earth Engine (GEE) to analyze remote sensing data using reproducible science workflows, covering fundamental concepts required to visualize, process, and analyze NEON hyperspectral and LiDAR data. The workshop will highlight specific ecological applications at different spatial and temporal scales. Participants will leave with knowledge of how to use NEON AOP data in GEE, and will be provided with a number of ready-to-use GEE scripts that can be expanded upon to further the participants' research interests.
Each year the National Ecological Observatory Network’s Airborne Observation Platform (AOP) collects high-resolution hyperspectral imagery, discrete and waveform lidar, and RGB photography at 81 terrestrial and aquatic sites throughout the United States. The coincident collection of AOP data with over 150 additional NEON data products from both instrumented and observational systems provides a rich resource for carrying out ecological research at multiple scales. However, one of the major barriers to using AOP data has been its sheer volume, which requires computationally intensive and expensive computing resources. Google Earth Engine (GEE) is a free, cloud-based platform that has become a powerful tool for conducting spatial analysis on terabyte-size datasets, such as the NEON airborne data collection. With just an internet connection and a google account, anyone can use GEE to conduct advanced geospatial research.
Participants should have a basic knowledge of remote sensing and some experience coding in a scientific programming language (eg. Python, R, JavaScript), though coding proficiency is not mandatory.
Thursday, August 18th, 11:45AM - 1:15PM ET
Montréal, Québec, Canada- Palais des congrès de Montréal
This workshop is open to participants attending the 2022 Annual ESA Meeting in-person. Registration details can be found on the 2022 ESA meeting website.
All times are Eastern Daylight Time (UTC-4).
| Time | Topic |
|---|---|
| 11:45 | Intro to NEON Airborne Observation Platform |
| 12:00 | Intro to the GEE coding environment |
| 12:15 | GEE Demo # 1: Exploratory Analysis of Change Detection at SRER |
| 12:45 | GEE Demo # 2: Species Classification using Random Forest Modeling at CLBJ |
| 1:00 | Additional Resources + Q & A |
| 1:15 | Workshop Ends |
Please get in touch with the instructors prior to the workshop with any questions.
To follow along with the workshop you will need:
Please refer to the following tutorials to get started using AOP data in GEE. Some of this content will be covered in the workshop:
Please tweet at @NEON_Sci or use the hashtag #NEONData during this workshop!
TBD