paper
2023
Observations & remote sensing
New model or method
Classical ML (trees, GP, linear, kernels) Journal
2023-01-01
012
Jan 2023
Pin‐Hsuan Cheng, Chien‐Hung Lin, Y. Jade Morton et al.
IEEE Transactions on Geoscience and Remote Sensing
Bagged-tree ensembles retrieve ocean wind speed from CYGNSS GNSS-R, reducing RMSE by about 29% and 65% versus the Level 2 product, including typhoon cases.
A Bagged-Tree Machine Learning Model for High and Low Wind Speed Ocean Wind Retrieval From CYGNSS Measurements
In one sentence. Bagged-tree ensembles retrieve ocean wind speed from CYGNSS GNSS-R, reducing RMSE by about 29% and 65% versus the Level 2 product, including typhoon cases.
Labels
- Topic
- Observations & remote sensing
- Type
- New model or method
- Method
- Classical ML (trees, GP, linear, kernels)
- Domain
- Global
- Data
- Satellite, ERA5 / reanalysis
- Status
- Research
- Identifiers
- DOI:10.1109/tgrs.2023.3246019 OpenAlex:W4321021527
- Added
- 2026-10-22
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