Antonio Vettore
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Last updated on 26 June 2014
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Last updated on 26 June 2014
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Last updated on 27 June 2014
![]() - Earth Observation (EO) applications and the use of AI in data analytics in particular from Earth Observation. - Collaborative web solutions for applying new algorithms to large remote sensing datasets. - Lidar data, both full-waveform and discrete, for forestry applications. He is committed to several national and international scientific committees and research groups related to geomatics, i.e. ISPRS Co-Chair in WG, EARSeL Chair of Agriculture SIG. From 2021 to 2023 Francesco is Director of the Master in Geostatistics for human, veterinary and environmental health He teaches remote sensing and geographic information systems in higher-education and holds several connected external courses. He is author of 100+ articles in national and international journals; 91 of which peer-reviewed scientific journals. Currently part of Editorial/Scientific Board for the following Journals: - Science of Remote Sensing (Elsevier - open-access twin journal of Remote Sensing of the Environment) - Remote Sensing Applications: Society and Environment (Elsevier) - Geomatics Natural Hazards and Risk (Taylor and Francis) - Applied Geomatics (Springer) - Bollettino SIFET (Società Italiana di Fotogrammetria e Topografia) |
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Last updated on 27 June 2014
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Last updated on 01 July 2014
![]() M.Sc in European Forestry at the Mendel University in Brno, Czech Republic (2017), specialized in forest biometry and modelling and remote sensing - Erasmus exchange University of Padova 2015-16 (Italy). Forestry Engineer at the Universidad Austral de Chile (2013) – DAAD (Deutscher Akademischer Austauschdienst) exchange program Universität Georg August Göttingen 2008-09 (Germany). Erico is involved as a guest scientist at the Technische Universitat Dresden in the Institute of Forest Growth and Forest Computer Sciences and Institute of Photogrammetry and Remote Sensing, in topics related to height-diameter and biomass modelling and phenology on temperate rainforest using remote sensing. |
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Last updated on 04 December 2021
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Last updated on 01 July 2014
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Last updated on 01 July 2014
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Last updated on 11 June 2018
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Last updated on 28 June 2014