The Fluxcourse is a two week early-career workshop focused on the foundations of land-atmosphere flux measurement, modeling, and synthesis.
NEON staff will be teaching components of Fluxcourse dedicated to working with NEON data, network data synthesis, and using NEON data to inform land-surface models.
Applications for Fluxcourse 2022 have closed; if you are interested in attending Fluxcourse 2023, watch http://www.fluxcourse.org/ for applications to open in early 2023.
This course will focus on how to efficiently utilize NEON AOP data for scientific applications and how common remote sensing processing methods will impact data quality. Applications for the 2018 Remote Sensing with Reproducible Workflows Data Institute are due 20 March 2017.
Our 2017 Data Institute focuses on remote sensing of vegetation using open source tools and reproducible science workflows – the primary programming language will be Python. The Institute will be held at NEON headquarters in June 2017.
The 2016 Data Institute focused on remote sensing of vegetation using open source tools to promote reproducible science. This Institute was be held in Boulder, CO from 20-25 June 2016.
