MO7.V15.2: AI for urban climate: an EO-based approach for high-resolution mapping of human exposure to heatwaves
Ana Oliveira, Vasco Leal, Manuel Galamba, Rita Cunha, CoLAB +Atlantic, Portugal
MO7.V15.3: A DEEP LEARNING APPROACH FOR A SPATIO-TEMPORAL FORECASTING OF COVID-19 IN THE REGGIO EMILIA AREA, NORTHERN ITALY
Veronica Sciannameo, University of Padova, Italy; Alessia Goffi, Giuseppe Maffeis, Roberta Gianfreda, TerrAria, Italy; Daniele Jahier Pagliari, Polythecnic of Turin, Italy; Marco Vinceti, Tommaso Filippini, University of Modena and Reggio Emilia, Italy; Pamela Mancuso, Paolo Giorgi-Rossi, Azienda Unità Sanitaria Locale-Istituto di Ricovero e Cura a Carattere Scientifico di Reggio Emilia, Italy; Leonardo Alberto Dal Zovo, Angela Corbari, Studiomapp, Italy; Paola Berchialla, University of Torino, Italy
MO7.V15.4: COMBINING DRONE-BASED ULTRA-HIGH-RESOLUTION EARTH OBSERVATION DATA WITH AI FOR MOSQUITO LARVAL HABITAT IDENTIFICATION: A SCALABLE METHOD IN MALARIA VECTOR CONTROL
Michelle Stanton, Remy Hoek Spaans, Chris Jones, Liverpool School of Tropical Medicine, United Kingdom; Patrick Kalonde, Kennedy Zembere, Malawi Liverpool Wellcome Trust clinical research programme, Malawi; Rémy Ghalayini, Globhe drones, Sweden
MO7.V15.5: A decision support system based on Machine Learning to counteract COVID-like pandemic events
Alessandro Sebastianelli, Francesco Mauro, Gianluca Di Cosmo, Silvia Ullo, University of Sannio, Italy; Fabrizio Passarini, University of Bologna, Italy; Marco Carminati, Politecnico di Milano, Italy
MO7.V15.6: DEEP ACTIVE CONTOUR MODELS FOR DELINEATING GLACIER CALVING FRONTS
Konrad Heidler, Lichao Mou, Xiao Xiang Zhu, German Aerospace Center (DLR), Germany; Erik Loebel, Mirko Scheinert, Technische Universität Dresden, Germany; Sébastien Lefèvre, Université Bretagne Sud, France
