2017 Theme: Remote Sensing with Reproducible Workflows

NEON’s Data Institutes provide critical skills and foundational knowledge for graduate students and early career scientists working with heterogeneous spatio-temporal data to address ecological questions. Our 2017 Institute focused on remote sensing of vegetation using open source tools and reproducible science workflows – the primary programming language will be Python. This Institute will be held at NEON headquarters in June 2017.