HSG-AIML/RemoteSensingNO2Estimation
Estimation of Air Pollution with Remote Sensing Data: Revealing Greenhouse Gas Emissions from Space, presented at Tackling Climate Change with Machine Learning workshop at ICML 2021.
This helps environmental analysts and climate researchers estimate nitrogen dioxide (NO2) air pollution levels across different regions using satellite imagery. You input remote sensing data, and it outputs predictions of NO2 concentrations, allowing for monitoring of greenhouse gas emissions from space. This is for anyone focused on environmental monitoring or climate impact assessment.
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Use this if you need to analyze air quality and greenhouse gas emissions by estimating NO2 concentrations from satellite remote sensing data.
Not ideal if you need real-time, ground-level air quality measurements or predictions for pollutants other than NO2.
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26
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Language
Python
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Last pushed
Dec 03, 2021
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