Introduction to Imaging Spectrometer Data Analysis:
Concepts, Methods and Open Source Software
20 July 2019, 8:00 AM – 4:00 PM
California Institute of Technology, South Mudd Room 162
Register with: David R. Thompson, firstname.lastname@example.org
Jet Propulsion Laboratory, California Institute of Technology
Imaging spectroscopy, also known as Hyperspectral Imaging, is revolutionizing remote sensing. Spectroscopy enables quantitative mapping of materials and chemistry across wide areas. Future orbital missions by NASA and other agencies will provide these data on global scales.
This is a sequence of hands-on lab experiences using open source code for imaging spectrometer data analysis. We will introduce the basic concepts behind these instruments, and provide practical experience in visualization, atmospheric correction, and surface property estimation with rigorous uncertainty propagation. We will use the open-source ISOFIT codebase (https://github.com/isofit/isofit) for atmospheric correction, and OpenSPEC for visualization capability similar to that provided in the ENVI interface. Following the Workshop, tutorial materials will be made available as open source resources for participants to use in their own courses.
Participants should bring a laptop. We will provide Python library installation instructions in advance
Tentative Agenda 8:00 AM Setup 8:30 Introduction to imaging spectroscopy Covariance, dimensionality, and noise Linear dimensionality reduction Spectral subspaces and angles 10:00 Questions and break 11:30 Atmospheric correction Linear mixture models and continuua The Matched Filter Partial Least Squares Regression 12:00 PM Lunch break 1:00 Radiometric Calibration Spectral Calibration and Noise Estimation 2:30 Questions and Break 3:00 Optimal Estimation methods Other Advanced topics in Optimal Estimation 4:00 Adjourn
Convener: Dr. David R. Thompson is a researcher and Technical Group Lead in the Imaging Spectroscopy group at the NASA Jet Propulsion Laboratory. He is Science Lead for NASA’s EMIT mission, and Investigation Scientist for the AVIRIS imaging spectrometers. He is recipient of the NASA Early Career Achievement Medal and the JPL Lew Allen Award.
Directions: South Mudd is located at the corner of California and Wilson, in the California Institute of Technology. We will use the East entrance, and meet in room 162. Parking is available in the underground lot to the South, as indicated on the map.
Acknowledgements: A portion of this research was performed at the Jet Propulsion Laboratory, California Institute of Technology. We acknowledge the support of a PRISM AITT grant from the National Aeronautics and Space Administration (NASA) Earth Science Technology Office. We acknowledge the support of the JPL and Caltech Presidents’ and Directors’ Fund Program. We thank other supporting sponsors including the NASA Earth Science Division for the HyspIRI preparatory campaign, the AVIRIS-NG instrument and the data analysis program “Utilization of Airborne Visible/Infrared Imaging Spectrometer Next Generation Data from an Airborne Campaign in India” NNH16ZDA001N-AVRSNG, for its support of the algorithm development; the Jet Propulsion Laboratory Research and Technology Development Program; and the NASA Center Innovation Fund managed in conjunction with the Jet Propulsion Laboratory Office of the Chief Scientist and Technologist. Copyright 2019 California Institute of Technology. US Government Support Acknowledged.