paper
2021
Observations & remote sensing
Extremes & hazards New model or method
Classical ML (trees, GP, linear, kernels) Journal
2021-03-31
008
Mar 2021
Isaac Buo, Valentina Sagris, Jaak Jaagus
IEEE Geoscience and Remote Sensing Letters
Random forest fills cloud-caused gaps in satellite land surface temperature during heatwaves using land cover, elevation and vegetation indices.
Gap-Filling Satellite Land Surface Temperature Over Heatwave Periods With Machine Learning
In one sentence. Random forest fills cloud-caused gaps in satellite land surface temperature during heatwaves using land cover, elevation and vegetation indices.
Labels
- Topic
- Observations & remote sensing, Extremes & hazards
- Type
- New model or method
- Method
- Classical ML (trees, GP, linear, kernels)
- Domain
- Regional
- Data
- Satellite
- Status
- Research
- Identifiers
- DOI:10.1109/lgrs.2021.3068069 OpenAlex:W3150849752
- Added
- 2026-10-22
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