# Improving the accuracy of rainfall rates from optical satellite sensors with machine learning — A random forests-based approach applied to MSG SEVIRI

Article · Meike Kühnlein, Tim Appelhans, Boris Thies, Thomas Nauß

- Archive id: doi:10.1016/j.rse.2013.10.026
- Published: 2013-11-22
- Venue: Remote Sensing of Environment
- DOI: https://doi.org/10.1016/j.rse.2013.10.026
- Citations: 221
- Source URL: https://doi.org/10.1016/j.rse.2013.10.026
- PDF: https://www.sciencedirect.com/science/article/pii/S0034425713003945/pdf
- Provenance: openalex

_Abstract not reproduced: its license does not permit redistribution. See the source URL._

Topics: [AI Weather & Climate Modeling](https://space-kitty.com/topics/ai-weather-climate)

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