Optimal Estimation for Combined Retrievals of Surface and Atmosphere: Algorithms, Results, and Open Source Software
Description:This is a sequence of hands-on lab experiences using open source code for imaging spectrometer data analysis. Topics include visualization, atmospheric correction, and surface property estimation with rigorous uncertainty propagation. These modules will be offered as independent tutorial sessions in conjunction with the WHISPERS 2019 meeting. The sessions are open to all attendees, who can attend any combination in any order as desired.
The tutorials 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. Tutorial materials are also available as open source resources for participants to use in their own courses.
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.