This free 3-day course taught by remote sensing experts will consist of lectures and labs on imaging spectroscopy (AKA hyperspectral) theory, pre-processing, spectral mixture analysis, and multivariate techniques to derive foliar chemistry. The course will utilize NEON data and attendees will have the opportunity to bring their own datasets for analysis. This workshop is part of a series of NSF/NEON supported training on the use of datasets from the NEON Airborne Observing Platform to enable new discoveries in the biophysical research community. See the lidar data webpage for a workshop focused on NEON-lidar data.
Dates: August 29-31, 2016
Hours: 8:00 am – 4:00 pm August 29, 30, 31
Location: Boise State University, Boise, Idaho, Student Union Building, Lookout Room (see below)
Instructors: Jessica Mitchell (Appalachian State University), Dar Roberts (UC Santa Barbara), Nancy Glenn (Boise State), Yi Qi (UC Davis), Nathan Leisso (NEON)
Audience: Researchers interested in using NEON data to derive remote sensing and biophysical variables for NEON science. Basic remote sensing background ideal but not required.
Cost: The course is free. Hotel and several meals will be covered for attendees.
Workshop Draft Agenda
Workshop Material
NEON D17 Data
VIPER2 Tools
Google Shared Doc Day 1
Workshop Survey
