HSG-AIML/RemoteSensingCO2Estimation
Code Repository for: "Multitask Learning for Estimating Power Plant Greenhouse Gas Emissions from Satellite Imagery" from NeurIPS 2021 Workshop on "Tackling Climate Change with Machine Learning"
This project helps environmental analysts, climate scientists, or regulatory bodies to estimate greenhouse gas emissions from fossil fuel power plants globally. By analyzing satellite images of power plants, it can predict how much power is being generated, the type of fuel used, and the area covered by smoke plumes. From these predictions, it then calculates the rate of CO2 emissions, providing crucial data where official reporting is often lacking.
No commits in the last 6 months.
Use this if you need to independently estimate and monitor CO2 emission rates from power plants using satellite imagery, especially in regions with limited official data.
Not ideal if you require real-time, ground-based sensor data for emissions monitoring or if your focus is on emission sources other than power plants.
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Python
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Last pushed
Jul 10, 2024
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