IEEE IGARSS 2021 || Brussels, Belgium || July 12–14, 2021 • Physical

MO1.O-15: Combining EO, Crowdsourcing and AI to Make the Most of the Data

Mon, 12 Jul, 14:30 - 16:00 (UTC)
Mon, 12 Jul, 16:30 - 18:00 Central Europe Summer Time (UTC +2)
Mon, 12 Jul, 22:30 - 00:00 China Standard Time (UTC +8)
Mon, 12 Jul, 10:30 - 12:00 Eastern Daylight Time (UTC -4)

Session Co-Chairs: Bertrand Le Saux, ESA - European Space Agency and Nicolas Longepe, ESA

Session Manager: Derick Boateng

Track: Invited Sessions

MO1.O-15.1: ESA’s AI4EO initiative – bridging the gap between the AI & earth observation communities

Annekatrien Debien, SpaceTec Partners, Belgium; Mauro Casaburi, Planetek Italia, Italy; Grega Milcinski, Sinergise, Slovenia; Marcello Maranesi, GMATICS, Italy

MO1.O-15.3: CROWDSOURCING IN-SITU DATA COLLECTION USING GAMIFICATION

Steffen Fritz, Tobias Sturn, Mathias Karner, Santosh Karanam, Linda See, Juan Carlos Bayas, Ian McCallum, IIASA, Austria

MO1.O-15.4: AI OPPORTUNITIES AND CHALLENGES FOR CROP TYPE MAPPING USING SENTINEL-2 AND DRONE DATA

Artur Nowakowski, Dario Spiller, Noelle Cremer, European Space Agency (ESA), Italy; Rogerio Bonifacio, World Food Programme, Italy; Michael Marszalek, European Space Agency (ESA), Italy; Manuel Garcia-Herranz, UNICEF, United States; Pierre Philippe Mathieu, European Space Agency (ESA), Italy; Do-Hyung Kim, UNICEF, United States

MO1.O-15.5: A NEW USER ORIENTED PLATFORM TO DEVELOP AI FOR THE ESTIMATION OF BIO-GEOPHYSICAL PARAMETERS FROM EO DATA

Leonardo De Laurentiis, Davide De Santis, University of Rome, Italy; Daniele Latini, GEO-K, Italy; Giovanni Schiavon, University of Rome, Italy; Alessandro Marin, Gaetano Pace, Kevin Rossini, Cesare Rossi, Stefano Marra, CGI Italia, Italy; Sveinung Loekken, ESA / ESRIN, Italy; Fabio Del Frate, University of Rome, Italy

MO1.O-15.6: A NOVEL GRAPH-THEORETIC DEEP REPRESENTATION LEARNING METHOD FOR MULTI-LABEL REMOTE SENSING IMAGE RETRIEVAL

Gencer Sumbul, Begüm Demir, Faculty of Electrical Engineering and Computer Science, Technische Universität Berlin, Germany

MO1.O-15.1: ESA’s AI4EO initiative – bridging the gap between the AI & earth observation communities

MO1.O-15.3: CROWDSOURCING IN-SITU DATA COLLECTION USING GAMIFICATION

MO1.O-15.4: AI OPPORTUNITIES AND CHALLENGES FOR CROP TYPE MAPPING USING SENTINEL-2 AND DRONE DATA

MO1.O-15.5: A NEW USER ORIENTED PLATFORM TO DEVELOP AI FOR THE ESTIMATION OF BIO-GEOPHYSICAL PARAMETERS FROM EO DATA

MO1.O-15.6: A NOVEL GRAPH-THEORETIC DEEP REPRESENTATION LEARNING METHOD FOR MULTI-LABEL REMOTE SENSING IMAGE RETRIEVAL

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