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R Bloggers
Date(s): Jun 20 - Jun 25, 2016

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.

June 2016: Remote Sensing with Reproducible Workflows

Our 2016 Institute focused on remote sensing of vegetation using open source tools and reproducible science workflows. The programming language of instruction in 2016 was R. This Institute was held at NEON headquarters in June 2016.

Online Resources

The teaching materials from the 2016 Data Institute will be converted into self-paced online tutorial series and will be provided free on this site. In the meantime, you can directly access the 2016 Data Institute materials here. These materials were designed to be used in the context of the workshop with an instructor.

Time Day Description
  Computer Setup Materials
27 May - 2 June Intro to NEON & Reproducible Science
3-9 June Version Control & Collaborative Science with Git & GitHub
10-16 June Documentation of Your Workflow with RMarkdown
20-26 June Data Institute
7:50am - 10:00pm Monday Intro to NEON, Intro to HDF5 & Hyperspectral RS
8:00am - 6:30pm Tuesday Intro to LiDAR data, Automated Workflows
8:00am - 6:30pm Wednesday Remote Sensing Uncertainty
8:00am - 6:30pm Thursday LiDAR & Hyperspectral Data Fusion
8:00am - 6:30pm Friday Group projects
9:00am - 2:00pm Saturday Group project presentations

Presentation Videos

You too can watch several of the presentations that were given at the 2016 Data Institute!

Key 2016 Dates

  • Application Deadline: March 28, 2016
  • Notification of Acceptance: April 4, 2016
  • Tuition payment due by: April 18, 2016
  • Pre-institute online activities: June 1-17, 2016
  • Institute Dates: June 20-25, 2016