OpenCarbon, a neural model fusing satellite imagery and POI data via contrastive learning and neighborhood aggregation, predicts 1 km urban carbon emissions and reports a 26.6% average R2 improvement over existing methods.
The effects of urban agglomeration economies on carbon emissions: Evidence from chinese cities
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OpenCarbon: A Contrastive Learning-based Cross-Modality Neural Approach for High-Resolution Carbon Emission Prediction Using Open Data
OpenCarbon, a neural model fusing satellite imagery and POI data via contrastive learning and neighborhood aggregation, predicts 1 km urban carbon emissions and reports a 26.6% average R2 improvement over existing methods.