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International Geoscience and Remote Sensing Symposium

In 2021 a joint initiative of Belgium and The Netherlands

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
Session:
Combining EO, Crowdsourcing and AI to Make the Most of the Data
Track:
Invited Sessions
Presentation Time:
Mon, 12 Jul, 15:00-15:15 (UTC)
Mon, 12 Jul, 17:00-17:15 Central Europe Summer Time (UTC +2)
Mon, 12 Jul, 23:00-23:15 China Standard Time (UTC +8)
Mon, 12 Jul, 11:00-11:15 Eastern Daylight Time (UTC -4)
Session Co-Chairs:
Bertrand Le Saux, ESA - European Space Agency and Nicolas Longepe, ESA
Session Manager:
Derick Boateng
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Session MO1.O-15
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

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