TH4.R9: Machine Learning Methods for Earth Observation: Applications to All Phases of the Mining Life Cycle I
Thu, 11 Jul, 17:20 - 19:00
Location: Venus Hall
Session Type: Oral
Session Co-Chairs: Ana Cláudia Teodoro , University of Porto / Institute of Earth Sciences (ICT) and Michaela Frei, Federal Institute for Geosciences and Natural Resources (BGR) and Joana Cardoso-Fernandes, University of Porto / Institute of Earth Sciences (ICT)
Track: Community-Contributed Sessions
Thu, 11 Jul, 17:20 - 17:34

TH4.R9.1: UAV based hyperspectral mapping of a magnesite deposit in the Hochfilzen region, Austria
Martin C. Schodlok, Michaela Frei, Kai Hahne, Federal Institute for Geosciences and Natural Resources (BGR), Germany; Bernhard Neugschwentner, GeoSphere-Austria, Austria
Thu, 11 Jul, 17:34 - 17:48

TH4.R9.2: UNSUPERVISED LEARNING APPLIED TO SENTINEL-1 FOR SHALLOW WATERS EXPLORATION IN GALICIA (SPAIN)
Morgana Carvalho, Joana Cardoso-Fernandes, Beatriz Araújo, Alexandre Lima, Ana Cláudia Teodoro, Department of Geosciences, Environment and Spatial Plannings, Faculty of Sciences, University of Porto, Portugal
Thu, 11 Jul, 17:48 - 18:02

TH4.R9.3: Monitoring ground movements by integrating space-borne, aerial, terrestrial remote sensing and GNSS observations
Krištof Oštir, University of Ljubljana, Slovenia; Rushaniia Gubaidullina, Montanuniversität Leoben, Austria; Antonio Pepe, Fabiana Calò, Francesco Falabella, Italian National Research Council, Italy; Klemen Kozmus Trajkovski, Dejan Grigillo, Veronika Grabrovec Horvat, Veton Hamza, Polona Pavlovčič Prešeren, University of Ljubljana, Slovenia; Ana Claudia Teodoro, University of Porto, Portugal
Thu, 11 Jul, 18:02 - 18:16

TH4.R9.4: MULTI-SENSOR APPROACH FOR COBALT EXPLORATION IN ASTURIAS (SPAIN) USING MACHINE LEARNING ALGORITHMS
Morgana Carvalho, Antonio Azzalini, Joana Cardoso-Fernandes, Patrícia Santos, Alexandre Lima, Ana Cláudia Teodoro, Department of Geosciences, Environment and Spatial Planning, Faculty of Sciences, University of Porto, Portugal
Thu, 11 Jul, 18:16 - 18:30

TH4.R9.5: A COMPARATIVE STUDY OF MACHINE LEARNING MODELS FOR PIXEL-WISE ACID MINE DRAINAGE CLASSIFICATION USING SENTINEL-2
Fahimeh Farahnakian, Johanna Torppa, Nike Luodes, Hannu Panttila, Teemu Karlsson, Geological Survey of Finland (GTK), Finland; ,
Thu, 11 Jul, 18:30 - 18:44

TH4.R9.6: MACHINE LEARNING-SUPPORTED REGOLITH LANDFORM MAPPING USING SATELLITE IMAGERY AND GEOPHYSICAL DATA
Carsten Laukamp, Fang Huang, Fariba Kohan Pour, Heta Maria Lampinen, CSIRO, Australia
Thu, 11 Jul, 18:44 - 18:58

TH4.R9.7: AN ATTENTION-BASED LSTM LITHOLOGICAL CLASSIFICATION USING MULTISENSOR DATASETS
Michael Appiah-Twum, Xu Wenbo, University of Electronic Science and Technology, China