paper
2018
Extremes & hazards
Observations & remote sensing Operational implementation report
CNN / U-NetNASA Journal
2018-12-10
057
Dec 2018
Manil Maskey, Rahul Ramachandran, Jeffrey J. Miller et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
NASA
Deep learning model estimates tropical cyclone intensity from satellite data at higher temporal frequency, deployed in a production monitoring system with a portal.
Deepti: Deep Learning-Based Tropical Cyclone Intensity Estimation
In one sentence. Deep learning model estimates tropical cyclone intensity from satellite data at higher temporal frequency, deployed in a production monitoring system with a portal.
Labels
- Topic
- Extremes & hazards, Observations & remote sensing
- Type
- Operational implementation report
- Method
- CNN / U-Net
- Domain
- Global
- Data
- Satellite
- Status
- Operational
- Identifiers
- DOI:10.1109/jstars.2020.3011907 OpenAlex:W3170892938
- Added
- 2026-10-22
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