Workshops
"The ARTMO toolbox for automated vegetation properties mapping"
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/). ARTMO brings together a diverse collection of leaf 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 from optical images. A LUT, or user-collected field data, can subsequently 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. In each of these toolboxes various optimization algorithms are provided so that the best-performing strategy can be applied for mapping applications.
Further, ARTMO’s RTM post-processing tools include: (1) global sensitivity analysis, (2) emulation, i.e. approximating RTMs through machine learning, and (3) synthetic scene generation. Moreover, here we present for the first time an new time series toolbox for the calculation of cloud-free time series and phenological indicators. ARTMO requires Matlab and runs in Windows. Because probably not all topics can be covered within a half-day tutorial, participants can make a selection: goo.gl/5DzDkx.
Workshop date: 15th Oct. 2019 8:30-12:30 |
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Presenter Information
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Dr. Jochem Verrelst Dr. Jochem Verrelst received the M.Sc. degree in tropical land use and in geo-information science both in 2005 and the Ph.D. in remote sensing in 2010 from Wageningen University, Wageningen, Netherlands. His dissertation focused on the spaceborne spectrodirectional estimation of forest properties. Since 2010, he moved to the Laboratory of Earth Observation (LEO), Image Processing Laboratory (IPL), University of Valencia, Spain. He has been involved in preparatory activities of ESA’s 8th Earth Explorer FLEX. His research interests include retrieval of vegetation properties using airborne and satellite optical data, canopy radiative transfer modelling and emulation, and hyperspectral data analysis. He is the founder of the ARTMO software package that brings together radiative transfer models and machine learning algorithms. In 2017 he received a H2020 ERC Starting Grant to work on the development of vegetation products based on synergy of FLEX and Sentinel-3 data. Since 2018, he is the vice-chair of the COST Action SENSECO that focuses on Optical synergies for spatiotemporal SENsing of Scalable ECOphysiological traits. |
