MO2.O4.3

SPATIO-TEMPORAL INTERPRETATION OF THE COVID-19 RISK FACTORS USING EXPLAINABLE AI

Anastasios Temenos, Maria Kaselimi, Ioannis Tzortzis, Ioannis Rallis, Anastasios Doulamis, Nikolaos Doulamis, National Technical University of Athens, Greece

Session:
Disease Control and Sustainable Development Goals Oral In-Person

Track:
Special Themes

Location:
Plenary Theatre Auditorium (PTA)

Presentation Time:
Mon, 18 Jul, 14:30 - 14:45 Malaysia Time (UTC +8)
Mon, 18 Jul, 08:30 - 08:45 Central European Time (UTC +1)
Mon, 18 Jul, 06:30 - 06:45 UTC
Mon, 18 Jul, 02:30 - 02:45 Eastern Time (UTC -4)

Session Co-Chairs:
Ranjini Guruprasad, IBM Research Labs and Cristian Rossi, Satellite Applications Catapult
Session Manager:
Jia Lin Lam
Presentation
Discussion
Resources
No resources available.
Session MO2.O4
MO2.O4.1: MODELING URBAN EVAPOTRANSPIRATION WITH SENTINEL-2, OPEN GEODATA, AND MACHINE LEARNING IN SUMMERTIME
Stenka Vulova, Alby Duarte Rocha, Fred Meier, Christian Schulz, Birgit Kleinschmit, Technische Universität Berlin, Germany; Hamideh Nouri, University of Göttingen, Germany
MO2.O4.2: INCREASING THE SPATIO-TEMPORAL RESOLUTION OF OCO2 GHG SATELLITE DATA
Ranjini Guruprasad, Manikandan Padmanaban, Lloyd Treinish, IBM Research Labs, India
MO2.O4.3: SPATIO-TEMPORAL INTERPRETATION OF THE COVID-19 RISK FACTORS USING EXPLAINABLE AI
Anastasios Temenos, Maria Kaselimi, Ioannis Tzortzis, Ioannis Rallis, Anastasios Doulamis, Nikolaos Doulamis, National Technical University of Athens, Greece
MO2.O4.4: COMPARING SPECTRAL DIFFERENCES BETWEEN HEALTHY AND EARLY INFESTED SPRUCE FORESTS CAUSED BY BARK BEETLE ATTACKS USING SATELLITE IMAGES
Langning Huo, Eva Lindberg, Henrik Persson, Swedish University of Agricultural Sciences, Sweden; Johan Fransson, Linnaeus University, Sweden
MO2.O4.5: CLAYS AND CARBONATES ABSORPTION BANDS FOR HEAVY METAL CONTENT PREDICTION AROUND THE ABANDONED MINE OF JEBEL RESSAS IN THE NORTH OF TUNISIA.
Faten Alayet, Abdelaziz Sebei, Sâadi Abdeljaouad, Faculty of Science of Tunis, University of Tunis El Manar, Tunisia; Nouha Mezned, Institute of Preparatory Studies in Biology and Geology Soukra, Tunisia
MO2.O4.6: DETECTION AND CHARACTERISATION OF POLLUTANT ASSETS WITH AI AND EO TO PRIORITISE GREEN INVESTMENTS: THE GEOASSET FRAMEWORK
Cristian Rossi, Maral Bayaraa, Georgios Voulgaris, Satellite Applications Catapult, United Kingdom; Nataliya Tkachenko, Steven Reece, Christophe Christiaen, Matthew McCarten, University of Oxford, United Kingdom; Peter Foster, Alan Touring Institute, United Kingdom; Kimberly Scott, Astraea, United Kingdom