GC2.G: Seeing beyond the visible: Estimating soil parameters from hyperspectral images
Sun, 16 Oct, 17:00 - 18:30 China Standard Time (UTC +8)
Sun, 16 Oct, 11:00 - 12:30 Central European Time (UTC +2)
Sun, 16 Oct, 09:00 - 10:30 UTC
Sun, 16 Oct, 05:00 - 06:30 Eastern Time (UTC -4)
Lecture
Challenge Session
Location: Room G
Session Chair: Jakub Nalepa, Silesian University of Technology and KP Labs, Poland
Track: Challenge Sessions

GC2.G.1: THE HYPERVIEW CHALLENGE: ESTIMATING SOIL PARAMETERS FROM HYPERSPECTRAL IMAGES
Jakub Nalepa, Michal Kawulok, Silesian University of Technology, Poland; Bertrand Le Saux, Nicolas Longépé, European Space Agency, Italy; Lukasz Tulczyjew, Michal Myller, Michal Gumiela, KP Labs, Poland; Krzysztof Smykala, QZ Solutions, Poland

GC2.G.2: PREDICTING SOIL PROPERTIES FROM HYPERSPECTRAL SATELLITE IMAGES
Rıdvan Salih Kuzu, The Remote Sensing Technology Institute (IMF), German Aerospace Center (DLR), Germany; Frauke Albrecht, Caroline Arnold, German Climate Computing Centre DKRZ, Germany; Roshni Kamath, Jülich Supercomputing Centre, Forschungszentrum Jülich GmbH, Germany; Kai Konen, Institute for Software Technology, German Aerospace Center (DLR), Germany

GC2.G.3: AI4EO HYPERVIEW: A SPECTRALNET3D AND RNNPLUS APPROACH FOR SUSTAINABLE SOIL PARAMETER ESTIMATION ON HYPERSPECTRAL IMAGE DATA
Claudius Zelenka, Mirjam Bayer, Peer Kröger, Kiel University, Germany; Andreas Lohrer, Kiel University / LMU Munich, Germany

GC2.G.4: HYPERDEEP: COMPARISON OF AI-BASED METHODS FOR PREDICTING CHEMICAL COMPONENTS IN HYPERSPECTRAL IMAGES
Alberto Velasco-Mata, Noelia Vallez, Jesus Ruiz-Santaquiteria, Anibal Pedraza, Oscar Deniz, Gloria Bueno, University of Castilla-La Mancha, Spain