Introduction to ARTMO for optimizing and automating mapping of vegetation properties
| Instructor: | Jochem Verrelst, LEO, University of Valencia, jochem.verrelst@uv.es |
Tutorial Description:
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. ARTMO brings together a diverse collection of leaf and canopy 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. Those - or alternatively user-collected field data - can be inserted into three types of mapping toolboxes: (1) through parametric regression (e.g. vegetation indices), (2) nonparametric methods (e.g. machine learning methods), or (3) through LUT-based inversion strategies. Post-processing tools include: (1) global sensitivity analysis, and (2) emulation. Step-by-step demonstrations will be given.
The tutorial will cover the following aspects:
- Running of leaf and canopy RTMs
- Familiarizing with the Sensor tool in order to create LUTs for specific band settings.
- Optimizing retrieval strategies using LUTs and field data. Applying retrieval strategies to airborne and satellite images for semi-automated mapping of vegetation properties.
- Emulation, i.e. developing statistical models from physical RTMs.
- Global sensitivity analysis on RTMs and emulated models.
Background:
ARTMO currently hosts a large collection of publicly available RTMs at the leaf and canopy scale, ranging from computationally cheap leaf and canopy models PROSPECT and SAIL to computationally expensive advanced ray-tracing model FLIGHT and the SVAT model SCOPE. The input and output reading of each of these models is synchronized - and they all can be applied in the retrieval toolboxes or post-processing tools. For more information please see: http://ipl.uv.es/artmo/. The software runs in Matlab and makes use of a locally-installed MySQL server.
Prerequisites:
Participants need to bring their own laptops with Matlab preinstalled. MySQL can be downloaded and installed during the tutorial. Alternatively, students can team up in small groups. Demo data will be given.
Keywords: leaf and canopy radiative transfer models, retrieval, mapping, global sensitivity analysis, emulation
Number of Participants: max. 30
Tutorial Fee: 100 Euro
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