WE2.R14.3

INFERRING CARBON DIOXIDE EMISSIONS FROM POWER PLANTS USING SATELLITE IMAGERY AND MACHINE LEARNING

Madison Hobbs, Ali Rouzbeh Kargar, WattTime, Climate TRACE, United States; Heather Couture, WattTime, Pixel Scientia Labs, Climate TRACE, United States; Jeremy Freeman, WattTime, Climate TRACE, United States; Isabella Söldner-Rembold, André Ferreira, TransitionZero, Climate TRACE, United Kingdom; Jeyavinoth Jeyaratnam, WattTime, Climate TRACE, United States; Joseph O'Connor, TransitionZero, Climate TRACE, United Kingdom; Jordan Lewis, Hannes Koenig, WattTime, Climate TRACE, United States; Colin McCormick, WattTime, Georgetown University, Climate TRACE, United States; Tiffany Nakano, Charmaine Dalisay, Global Energy Monitor, Climate TRACE, United States; Aaron Davitt, Lee Gans, Christy Lewis, Gabriela Volpato, WattTime, Climate TRACE, United States; Matthew Gray, TransitionZero, Climate TRACE, United Kingdom; Gavin McCormick, WattTime, Climate TRACE, United States
Session:
WE2.R14: Bio/Geo-Physical Parameter Estimation via Machine Learning Oral
Track:
AI and Big Data
Location:
Room E
Presentation Time:
Wed, 19 Jul, 10:39 - 10:51 Pacific Time (UTC -8)
Session Chair:
Andreas Michel, Fraunhofer IOSB
Session Manager:
Shankho Subhra Pal
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Discussion
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Session WE2.R14
WE2.R14.1: INVERSION OF RADIATIVE TRANSFER MODEL THROUGH ONE-DIMENSIONAL CONVOLUTIONAL NEURAL NETWORK TO RETRIEVE FOLIAR TRAITS OF TEMPERATE FOREST CANOPIES WITH IMAGING SPECTROCOPY
Thierry Gaubert, Karine Adeline, ONERA, France; Margarita Huesca, University of Twente, Netherlands; Susan Ustin, University of California Davis, United States; Xavier Briottet, ONERA, France
WE2.R14.2: IMPROVING EXTREME VALUE PREDICTION FOR WATER CLARITY USING WEIGHTED REGRESSION MODELS
William Daniels, Northwestern University, United States; Troy Ames, J. Blake Clark, Stephanie Schollaert Uz, NASA Goddard Space Flight Center, United States
WE2.R14.3: INFERRING CARBON DIOXIDE EMISSIONS FROM POWER PLANTS USING SATELLITE IMAGERY AND MACHINE LEARNING
Madison Hobbs, Ali Rouzbeh Kargar, WattTime, Climate TRACE, United States; Heather Couture, WattTime, Pixel Scientia Labs, Climate TRACE, United States; Jeremy Freeman, WattTime, Climate TRACE, United States; Isabella Söldner-Rembold, André Ferreira, TransitionZero, Climate TRACE, United Kingdom; Jeyavinoth Jeyaratnam, WattTime, Climate TRACE, United States; Joseph O'Connor, TransitionZero, Climate TRACE, United Kingdom; Jordan Lewis, Hannes Koenig, WattTime, Climate TRACE, United States; Colin McCormick, WattTime, Georgetown University, Climate TRACE, United States; Tiffany Nakano, Charmaine Dalisay, Global Energy Monitor, Climate TRACE, United States; Aaron Davitt, Lee Gans, Christy Lewis, Gabriela Volpato, WattTime, Climate TRACE, United States; Matthew Gray, TransitionZero, Climate TRACE, United Kingdom; Gavin McCormick, WattTime, Climate TRACE, United States
WE2.R14.4: SENSITIVITY OF MDN-RETRIEVED CHLOROPHYLL-a and PHYCOCYANIN TO UNCERTAINTIES IN REFLECTANCE PRODUCTS
Kiana Zolfaghari, University of Waterloo, Canada; Nima Pahlevan, NASA Goddard Space Flight Center, United States; Stefan Simis, Plymouth Marine Laboratory, United Kingdom; Ryan E. O'Shea, NASA Goddard Space Flight Center, United States; Claude R. Duguay, University of Waterloo, Canada
WE2.R14.5: A meteorology-driven LSTM for predicting time series of vegetation leaf area index in land surface model
Zhenhua Xiong, Qinchuan Xin, Zhicheng Zhang, Hanliang Gui, School of Geography and Planning, China
Resources
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