The National Science Foundation's National Ecological Observatory Network (NEON) is changing the way we do science. The scope and scale of the NEON's remote sensing data from its Airborne Observation Platform (AOP) require larger data storage and compute than you may be used to working with on your laptop or desktop computer.
CyVerse, a research cyberinfrastructure for all life sciences, is by design capable of enabling data-intensive scientific discovery.
Join us for an intensive three-day hands-on remote workshop and learn how to create, use, deploy and share analyses of NEON AOP data using the CyVerse platform.
You will learn how to use the NEON Data API and work with hands-on exercises using remote sensing data in the RStudio, Project Juypter (Python) notebooks, and open source desktop GIS applications (QGIS, GDAL, PDAL, GRASS-GIS). Basic understanding of scientific computer programming languages (e.g., R, Python) and command line tools (bash shell, and version control with GitHub) are useful but not required.
Any researcher seeking to work with NEON data and make computational analyses easier and more reproducible. Must enjoy a collaborative, innovative environment. Preference will be given to NSF BIO-funded PIs and early career researchers. Registration will be limited to the first 50 enrollees.