Estimating Carbon Dioxide Emissions from Power Plant Water Vapor Plumes Using Satellite Imagery and Machine Learning

Estimating Carbon Dioxide Emissions from Power Plant Water Vapor Plumes Using Satellite Imagery and Machine Learning

Combustion power plants emit carbon dioxide (CO<sub>2</sub>), which is a major contributor to climate change. Direct emissions measurement is cost-prohibitive globally, while reporting varies in detail, latency, and granularity. To fill this gap and greatly increase the number of power p...

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Bibliographic Details
Main Authors: Heather D. Couture, Madison Alvara, Jeremy Freeman, Aaron Davitt, Hannes Koenig, Ali Rouzbeh Kargar, Joseph O’Connor, Isabella Söldner-Rembold, André Ferreira, Jeyavinoth Jeyaratnam, Jordan Lewis, Colin McCormick, Tiffany Nakano, Charmaine Dalisay, Christy Lewis, Gabriela Volpato, Matthew Gray, Gavin McCormick
Format: Article
Language:English
Published: MDPI AG 2024-04-01
Series:Remote Sensing
Subjects:
CO<sub>2</sub> emissions inventories
greenhouse gases
satellite observations
machine learning
Online Access:https://www.mdpi.com/2072-4292/16/7/1290

Internet

https://www.mdpi.com/2072-4292/16/7/1290

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