Improving remote sensing of extreme events with machine learning: land surface temperature retrievals from IASI observations
Retrieving weather extremes from observations is critical for weather forecasting and climate impact studies. Statistical and machine learning methods are increasingly popular in the remote sensing community. However, these models act as regression tools when dealing with regression problems and as...
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
IOP Publishing
2023-01-01
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Series: | Environmental Research Letters |
Subjects: | |
Online Access: | https://doi.org/10.1088/1748-9326/acb3e3 |