A random-offset sampling scheme lets a U-Net or autoencoder predict dense NO2 maps from sparse station measurements, reporting MAE 4.98 µg/m3 versus 5.65 for the point-wise baseline.
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Dense Air Pollution Estimation from Sparse in-situ Measurements and Satellite Data
A random-offset sampling scheme lets a U-Net or autoencoder predict dense NO2 maps from sparse station measurements, reporting MAE 4.98 µg/m3 versus 5.65 for the point-wise baseline.