paper
2021
Observations & remote sensing
New model or method
Classical ML (trees, GP, linear, kernels) Journal
2021-06-03
012
Jun 2021
Jean‐François Rysman, Chantal Claud, Stavros Dafis
IEEE Geoscience and Remote Sensing Letters
A neural network and gradient boosting combination retrieves cloud top height from passive microwave radiometers, with MAE 2.1 km and correlation 0.8 against radar truth.
A Machine Learning Algorithm for Retrieving Cloud Top Height With Passive Microwave Radiometry
In one sentence. A neural network and gradient boosting combination retrieves cloud top height from passive microwave radiometers, with MAE 2.1 km and correlation 0.8 against radar truth.
Labels
- Topic
- Observations & remote sensing
- Type
- New model or method
- Method
- Classical ML (trees, GP, linear, kernels)
- Domain
- Global
- Data
- Satellite
- Status
- Research
- Identifiers
- DOI:10.1109/lgrs.2021.3081920 OpenAlex:W3166882621
- Added
- 2026-10-22
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