paper
2019
Observations & remote sensing
New model or method
CNN / U-Net Other
2019-12-01
008
Dec 2019
Jennifer Sleeman, Vanessa Caicedo, Milton Halem et al.
preprint
A deep neural network applied to lidar backscatter images identifies planetary boundary layer height and outperforms a double-derivative method in preliminary results.
Using Lidar and Machine Learning to Identify Planetary Boundary Layer Heights
In one sentence. A deep neural network applied to lidar backscatter images identifies planetary boundary layer height and outperforms a double-derivative method in preliminary results.
Labels
- Topic
- Observations & remote sensing
- Type
- New model or method
- Method
- CNN / U-Net
- Domain
- Regional
- Data
- Other
- Status
- Research
- Identifiers
- OpenAlex:W2981942628
- Added
- 2026-10-22
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