NEON Data Institute 2018: Remote Sensing with Reproducible Workflows using Python

July 09, 2018 - July 14, 2018
National Ecological Observatory Network

Data Institute Overview

The 2018 Institute focuses on remote sensing of vegetation using open source tools and reproducible science workflows -- the primary programming language will be Python.

Through data intensive live-coding, short presentations, and small group work, we will cover topics including:

  • Background theoretical concepts related to LiDAR and hyperspectral remote sensing
  • Fundamental concepts required to ingest, visualize, process, and analyze NEON hyperspectral and LiDAR data.
  • Best practices on reproducible research workflows: the importance of documentation, organization, version control, and automation.
  • Scientific spatio-temporal applications of remote sensing data using open-source tools, namely Python and Jupyter Notebooks.
  • Machine learning for prediction of biophysical variables such as above-ground biomass using NEON LiDAR and ground measurements.
  • Classification of hyperspectral data using deep-learning approaches.
  • Using remote sensing data products with in situ data to quantify uncertainty associated with remote sensing observations.

This Institute will be held at the NEON project headquarters 9-14 July 2018. In addition to the six days of in-person training, 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.

Registration & Logistics

For information on how to apply, please see the application event page

Read here for more information on the logistics of the Data Institute. 


Please note that slight changes may be made to the schedule of the Data Institute.

Time Day Description
-- 1 - 7 June Computer Setup Materials
-- 8 -14 June Intro to NEON & Reproducible Science
-- 15 - 21 June Version Control & Collaborative Science with Git & GitHub
-- 22 June - 5 July Documentation of Your Workflow with Jupyter Notebooks – due to 4 July holiday this will be a 2-week interval
-- 9 - 14 July Data Institute
7:50am - 6:30 pm Monday Working with HDF5 & Hyperspectral Remote Sensing
8:00am - 6:30pm Tuesday Reproducible & Automated Workflows, Working with LiDAR data
8:00am - 6:30pm Wednesday Remote Sensing Uncertainty
8:00am - 6:30pm Thursday Fusion: Combining Data Products
8:00am - 6:30pm Friday Waveform Lidar & Individual/Group Applications
9:00am - 5:00pm Saturday Group Application Presentations

Workshop materials will be posted in late spring. 


I am interested to participate in NEON Data Institute 2018: Remote Sensing with Reproducible Workflows using Python. However, I couldn't apply. It seems that link is not working.

Hasan, Thank you for your interest. The link now seems to be working. If you continue to have problems, please email through the contact us form below. Thank you, Megan

Will a similar course using R be offered in the future?

Yes, we do intend to offer a similar course in R in future years. We do offer materials from a previous R based Remote Sensing with Reproducible Workflows Data Institute ( ). Please note that the materials using data in an HDF5 format are using a previous NEON format. We are in the process of updating these materials to the current HDF5 format. Wade, thanks for your interest.

Thanks for the reply. I found the NEON data skills (raster data with R ) very useful. A workshop would be great.

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