Imputing Satellite-Derived Aerosol Optical Depth Using a Multi-Resolution Spatial Model and Random Forest for PM<sub>2.5</sub> Prediction
A task for environmental health research is to produce complete pollution exposure maps despite limited monitoring data. Satellite-derived aerosol optical depth (AOD) is frequently used as a predictor in various models to improve PM<sub>2.5</sub> estimation, despite significant gaps in coverage. We...
Tallennettuna:
| Päätekijät: | , , |
|---|---|
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
MDPI AG
2021-01-01
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| Sarja: | Remote Sensing |
| Aiheet: | |
| Linkit: | https://www.mdpi.com/2072-4292/13/1/126 |
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