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.
A comparison of five high-resolution spatially-explicit, fossil-fuel, carbon diox- ide emission inventories for the united states
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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.