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International Geoscience and Remote Sensing Symposium

In 2021 a joint initiative of Belgium and The Netherlands

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
Session:
UAV and Low-cost Sensor Networks for Land Monitoring and Cal/Val
Track:
Invited Sessions
Presentation Time:
Mon, 12 Jul, 15:15-15:30 (UTC)
Mon, 12 Jul, 17:15-17:30 Central Europe Summer Time (UTC +2)
Mon, 12 Jul, 23:15-23:30 China Standard Time (UTC +8)
Mon, 12 Jul, 11:15-11:30 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
Presentation
Discussion
Resources
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
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

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