paper
2020
Observations & remote sensing
New model or method
Classical ML (trees, GP, linear, kernels) Journal
2020-02-19
012
Feb 2020
Andre Lucas Antunes de Sa, Robert Andrew Marshall
IEEE Transactions on Geoscience and Remote Sensing
Trains machine-learned models to estimate lightning distance from single-receiver VLF/LF sferics, reaching 53 km RMSE on observed Kansas data.
Lightning Distance Estimation Using LF Lightning Radio Signals via Analytical and Machine-Learned Models
In one sentence. Trains machine-learned models to estimate lightning distance from single-receiver VLF/LF sferics, reaching 53 km RMSE on observed Kansas data.
Labels
- Topic
- Observations & remote sensing
- Type
- New model or method
- Method
- Classical ML (trees, GP, linear, kernels)
- Domain
- Regional
- Data
- Other
- Status
- Research
- Identifiers
- DOI:10.1109/tgrs.2020.2972153 OpenAlex:W3008419670
- Added
- 2026-10-22
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