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 2017: Remote Sensing with Reproducible Workflows
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.
In addition to the 6 day institute there are three weeks of pre-institute materials is to ensure that everyone comes to the Institute ready to work in a collaborative research environment. Pre-institute materials are online & individually paced, expect to spend 1-5 hrs/week depending on your familiarity with the topic.
|–||Computer Setup Materials|
|–||25 May - 1 June||Intro to NEON & Reproducible Science|
|–||2-8 June||Version Control & Collaborative Science with Git & GitHub|
|–||9-15 June||Documentation of Your Workflow with iPython/Jupyter Notebooks|
|–||19-24 June||Data Institute|
|7:50am - 6:30 pm||Monday||Intro to NEON, Intro to HDF5 & Hyperspectral Remote Sensing|
|8:00am - 6:30pm||Tuesday||Reproducible & Automated Workflows, Intro to LiDAR data|
|8:00am - 6:30pm||Wednesday||Remote Sensing Uncertainty|
|8:00am - 6:30pm||Thursday||Hyperspectral Data & Vegetation|
|8:00am - 6:30pm||Friday||Individual/Group Applications|
|9:00am - 1:00pm||Saturday||Group Application Presentations|
The teaching materials from the 2017 Data Institute will be available as self-paced online tutorials after the Institute. In the meantime, you can access the 2016 Data Institute materials here. These 2016 materials were designed to be used in the context of the workshop with an instructor. In 2016, the primary programming language was R.
Key 2017 Dates
- Applications Open: 17 January 2017
- Application Deadline: 10 March 2017
- Notification of Acceptance: late March 2017
- Tuition payment due by: mid April 2017
- Pre-institute online activities: June 1-17, 2017
- Institute Dates: June 19-24, 2017
More information about the NEON Data Institutes can be found on the NEON website.