#10 The ARTMO toolbox for analyzing and processing of hyperspectral data (half day, afternoon)

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05 Jun 2022
14:00

#10 The ARTMO toolbox for analyzing and processing of hyperspectral data (half day, afternoon)

This tutorial will focus on the use of ARTMO’s (Automated Radiative Transfer Models Operator) radiative transfer models (RTMs), retrieval toolboxes and post-processing tools (https://artmotoolbox.com/) for the generation and interpretation of hyperspectral data. ARTMO brings together a diverse collection of leaf, canopy and atmosphere RTMs into a synchronized user-friendly GUI environment. Essential tools are provided to create all kinds of look-up tables (LUT). These LUTs can then subsequently be used for mapping applications from optical images. A LUT, or user-collected field data, can subsequently be inserted into three types of mapping toolboxes: (1) through parametric regression, (2) nonparametric regression(e.g. machine learning methods), or (3) through LUT-based inversion strategies. Various optimization algorithms are provided so that the best-performing strategy can be applied for mapping applications. We have now also developed a new machine learning classification toolbox.

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 Dr. Jochem Verrelst, Image Processing Laboratory, University of Valencia, Spain