paper
2023
Observations & remote sensing
New model or method
Classical ML (trees, GP, linear, kernels) Journal
2023-01-01
012
Jan 2023
Jiafei Xu, Zhizhao Liu
IEEE Transactions on Geoscience and Remote Sensing
Four machine learning methods recalibrate FY-3A MERSI near-infrared precipitable water vapor against GPS stations, cutting RMSE by 58–72% over China.
Long-Term Calibration of Satellite-Based All-Weather Precipitable Water Vapor Product From FengYun-3A MERSI Near-Infrared Bands From 2010 to 2017 in China
In one sentence. Four machine learning methods recalibrate FY-3A MERSI near-infrared precipitable water vapor against GPS stations, cutting RMSE by 58–72% over China.
Labels
- Topic
- Observations & remote sensing
- Type
- New model or method
- Method
- Classical ML (trees, GP, linear, kernels)
- Domain
- Regional
- Data
- Satellite, Station / in-situ
- Status
- Research
- Identifiers
- DOI:10.1109/tgrs.2023.3300880 OpenAlex:W4385626815
- Added
- 2026-10-22
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