Multisensor Machine Learning to Retrieve High Spatiotemporal Resolution Land Surface Temperature

Multisensor Machine Learning to Retrieve High Spatiotemporal Resolution Land Surface Temperature

Climate change is making heat waves more frequent, long-lasting, and severe. While multiple satellite types provide data to monitor surface temperature, geostationary (GEO) sensors provide near-continuous, continental-scale observations which can better capture the diurnal variability of land surfac...

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Bibliographic Details
Main Authors: Kate Duffy, Thomas J. Vandal, Ramakrishna R. Nemani
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Datasets
deep learning
emulation
remote sensing
land surface temperature
Online Access:https://ieeexplore.ieee.org/document/9856638/

Internet

https://ieeexplore.ieee.org/document/9856638/

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