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DTSTART;TZID=Europe/Stockholm:20240215T090000
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SUMMARY:Training in the use of machine learning techniques in remote sensing: Part 2
DESCRIPTION:Welcome to the second training session about machine learning techniques in remote sensing. The training is organized by the RESDINET project (Network for novel remote sensing technologies in forest disturbance ecology)\, funded by the European Union. \nDon’t forget to register for the first part of the workshop\, organized on Tuesday 13 February 9:00–12:15. \nProgram:\n9:00–9:50 Training ML models\,  Raquel Alves de Oliveira & Roope Näsi\, Finnish Geospatial Research Institute \n\nAnalysis of homework\nHow to continue with datasets from other partners\n\n9:50–10:00 Coffee break \n10:00–11:00 Teja Kattenborn\, University of Freiburg\, “Mapping dead trees using drones and satellite data”  www.deadtrees.earth  (online) \n11:00–12:00 Lars Eklundh\, Lund University\, “Satellite time series analysis for vegetation phenology studies”  (online) \n12:00–12:15 Eija Honkavaara\, Wrap up and next steps \nSpeakers\nRaquel Alves de Oliveira – Senior Research Scientist\, Finnish Geospatial Research Institute FGI\, National Land Survey of Finland\nRoope Näsi – Senior Research Scientist\, Finnish Geospatial Research Institute FGI\, National Land Survey of Finland\nTeja Kattenborn – Professor\, University of Freiburg\nLars Eklundh – Professor\, Lund University\nEija Honkavaara – Research Professor\, Finnish Geospatial Research Institute FGI\, National Land Survey of Finland 
URL:https://digitalimpactnorth.se/event/training-in-the-use-of-machine-learning-techniques-in-remote-sensing-part-2/
CATEGORIES:Featured,Med anmälan - Digitalt
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