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Inferring Carbon Dioxide Emissions From Power Plants Using ..:

, In: IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium,

Hobbs, Madison ; Kargar, Ali Rouzbeh ; Couture, Heather... - p. 4911-4914 , 2023

Link: https://doi.org/10.1109/IGARSS52108.2023.10283046

RT 
T1 <cTitle>IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium</cTitle>: T1 <Title>Inferring Carbon Dioxide Emissions From Power Plants Using Satellite Imagery and Machine Learning</Title>

UL https://suche.suub.uni-bremen.de/peid=ieee-10283046&Exemplar=1&LAN=DE
				
A1 Hobbs, Madison
A1 Kargar, Ali Rouzbeh
A1 Couture, Heather
A1 Freeman, Jeremy
A1 Soldner-Rembold, Isabella
A1 Ferreira, Andre
A1 Jeyaratnam, Jeyavinoth
A1 O'Connor, Joseph
A1 Lewis, Jordan
A1 Koenig, Hannes
A1 McCormick, Colin
A1 Nakano, Tiffany
A1 Dalisay, Charmaine
A1 Davitt, Aaron
A1 Gans, Lee
A1 Lewis, Christy
A1 Volpato, Gabriela
A1 Gray, Matthew
A1 McCormick, Gavin
YR 2023
SN 2153-7003
K1 Training
K1 Machine learning
K1 Carbon dioxide
K1 Landsat
K1 Predictive models
K1 Satellite images
K1 Spatiotemporal phenomena
K1 Climate change
K1 Carbon emissions
K1 Fossil fuels
K1 machine learning
K1 remote sensing
K1 fossil fuel power plants
K1 greenhouse gas emissions
K1 climate change
SP 4911
OP 4914
LK http://dx.doi.org/https://doi.org/10.1109/IGARSS52108.2023.10283046
DO https://doi.org/10.1109/IGARSS52108.2023.10283046
SF ELIB - SuUB Bremen

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