Author: Michele Thornton
Date: August 14, 2022
Contact for the ORNL DAAC: uso@daac.ornl.gov
Keywords: AVIRIS, Python, ABoVE
This tutorial demonstrates methods to read and perform a Principal Components Analysis on 1 file of Surface Reflectance data from the AVIRIS-NG instrument. The AVIRIS-NG (Airborne Visible/Infrared Imaging Spectrometer-Next Generation) instrument provides continuous radiance measurements of surface reflectance. This approximates one step in a study of Wetland Vegetation Classification conducted by NASA's Arctic-Boreal Vulnerability Experiment (ABoVE) Science team. The study incorporated data from NASA airborne instruments, including the AVIRIS-NG instrument. The ABoVE study included applications associating spectral characteristics with land cover classification focused on water and wetland vegetation communities over the Peace-Athabasca Delta (PAD), Canada.
In this tutorial, we'll use python methods to:
- Read and explore a flight path of AVIRIS-NG Spectral Reflectance (L2) data
- Create Spectral Profiles of the AVIRIS-NG data
- Export georeferenced multiband geoTIFF files
- Run a Principal Components Analysis (PCA) on an AVIRIS-NG Spectral Reflectance file
This tutorial is inspired by a small subset of methods described in this dataset.
Citation: Wang, C., T.M. Pavelsky, E.D. Kyzivat, F. Garcia-Tigreros, F. Yao, X. Yang, S. Zhang, C. Song, T. Langhorst, W. Dolan, M. Kurek, M.E. Harlan, L.C. Smith, D. Butman, R.G.M. Spencer, C.J. Gleason, and D.L. Peters. 2022. ABoVE: Wetland Vegetation Classification for Peace-Athabasca Delta, Canada, 2019. ORNL DAAC, Oak Ridge, Tennessee, USA. https://doi.org/10.3334/ORNLDAAC/2069
Credit: Many methods in this tutorial borrowed from Delta-X Applications Workshop, Daniel Jensen, NASA Postdoctoral Researcher, Delta-X Airborne Visible/Infrared Imaging Spectrometer - Next Generation (AVIRIS-NG), Part I
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