IEEE IGARSS 2021 || Brussels, Belgium || July 12–14, 2021 • Physical

MO1.O-4.6

CLASSIFICATION OF AN INTERTIDAL REEF BY MACHINE LEARNING TECHNIQUES USING UAV BASED RGB AND MULTISPECTRAL IMAGERY

Débora Borges, Interdisciplinary Centre of Marine and Environmental Research of the University of Porto, Portugal; Luís Pádua, University of Trás-os-Montes e Alto Douro/Centre for Robotics in Industry and Intelligent Systems, Portugal; Isabel Costa Azevedo, Joelen Silva, Interdisciplinary Centre of Marine and Environmental Research of the University of Porto, Portugal; Joaquim J. Sousa, University of Trás-os-Montes e Alto Douro/Centre for Robotics in Industry and Intelligent Systems, Portugal; Isabel Sousa-Pinto, Interdisciplinary Centre of Marine and Environmental Research of the University of Porto/Faculty of Science of the University of Porto, Portugal; José Alberto Gonçalves, Faculty of Science of the University of Porto, Portugal

Session:

UAV and Low-cost Sensor Networks for Land Monitoring and Cal/Val

Track:

Invited Sessions

Presentation Time:

Mon, 12 Jul, 15:45-16:00 (UTC)
Mon, 12 Jul, 17:45-18:00 Central Europe Summer Time (UTC +2)
Mon, 12 Jul, 23:45-00:00 China Standard Time (UTC +8)
Mon, 12 Jul, 11:45-12:00 Eastern Daylight Time (UTC -4)

Session Co-Chairs:

Benjamin Brede, Wageningen University & Research and Fabrizio Niro, Serco for European Space Agency (ESA)

Session Manager:

Cai Wu

Session MO1.O-4

MO1.O-4.1: REACHING STAGE 4 OF VEGETATION PRODUCT VALIDATION BY EXPLOITING THE SYNERGY BETWEEN UAV, HR SATELLITES AND IOT MEASUREMENTS

Marie Weiss, INRAE, France; Wenjuan Li, HIPHEN, France; Sylvain Jay, INRAE, France; Fernando Camacho, EOLAB, Spain; Hongliang Fang, LREIS, China; Frédéric Baret, INRAE, France

MO1.O-4.3: POTENTIAL OF AUTOMATED DIGITAL HEMISPHERICAL PHOTOGRAPHY AND WIRELESS QUANTUM SENSORS FOR ROUTINE CANOPY MONITORING AND SATELLITE PRODUCT VALIDATION

Luke Brown, Harry Morris, University of Southampton, United Kingdom; Erika Albero, Ernesto Lopez-Baeza, University of Valencia, Spain; Frank Tiedemann, Lukas Siebicke, Alexander Knohl, University of Göttingen, Germany; Carolina da Silva Gomes, Gabriele Bai, Christophe Lerebourg, ACRI-ST, France; Nadine Gobron, Christian Lanconelli, Marco Clerici, European Commission, Joint Research Centre, Italy; Darius Culvenor, Environmental Sensing Systems, Australia; Jadunandan Dash, University of Southampton, United Kingdom

MO1.O-4.4: UAV-BASED HYPERSPECTRAL DATA FOR SURFACE REFLECTANCE FIDUCIAL REFERENCE MEASUREMENTS (FRM)

Niall Origo, Rosalinda Morrone, Morven Sinclair, Chris Maclellan, Joanne Nightingale, National Physical Laboratory, United Kingdom; Javier Gorrono, Universitat Politècnica de València, Spain; Eija Honkavaara, Teemu Hakala, National Land Survey Finland, Finland; Olli Nevalainen, Finnish Meteorological Institute, Finland

MO1.O-4.5: COMPARISON OF CALIBRATION PANELS FROM FIELD SPECTROSCOPY AND UAV HYPERSPECTRAL IMAGERY ACQUIRED UNDER DIFFUSE ILLUMINATION

J. Pablo Arroyo-Mora, National Research Council of Canada, Canada; Margaret Kalacska, McGill University, Canada; Raymond J. Soffer, National Research Council of Canada, Canada; Oliver Lucanus, McGill University, Canada

MO1.O-4.6: CLASSIFICATION OF AN INTERTIDAL REEF BY MACHINE LEARNING TECHNIQUES USING UAV BASED RGB AND MULTISPECTRAL IMAGERY

CLASSIFICATION OF AN INTERTIDAL REEF BY MACHINE LEARNING TECHNIQUES USING UAV BASED RGB AND MULTISPECTRAL IMAGERY

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