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Presentation | B31K: Emerging Machine Learning Approaches for Process Understanding and Predictions in Ecosystem Sciences I Poster
Poster
B31K-1862: High-Resolution Carbon Flux Monitoring using a Global Estimation Model (CARBON-GEM) in Google Earth Engine
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Schedule
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Credits
Wed, Dec 17
Board 1862‚ Hall EFG (Poster Hall)
8:30am - 12:00pm (Central)
NOLA CC
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Emma Izquierdo
BOKU University of Natural Resources and Life Sciences
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Author(s):
Emma Izquierdo
, BOKU University
(First Author, Presenting Author)
Alvaro Moreno
, Image Processing Laboratory, Universitat de València
Jordi Muñoz
, Image Processing Laboratory, Universitat de València
Johanes Hirn
, Image Processing Laboratory, Universitat de València
Laura Martínez-Ferrer
, Image Processing Laboratory, Universitat de València
Gustau Camps-Valls
, Image Processing Laboratory, Universitat de València
View Abstract
Scientific Discipline
Biogeosciences
Suggested Itineraries
Machine Learning and AI
Open Science and Open Data
Neighborhood
Earth Covering
Type
Poster
I Will Be at My Poster Time
View This Poster
Main Session
Poster
B31K: Emerging Machine Learning Approaches for Process Understanding and Predictions in Ecosystem Sciences I Poster
8:30am-12:00pm Dec 17 (Central)
Yanghui Kang
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