Toward the Next Generation of Microwave Sounders: Benefits of a Low-Earth Orbit Hyperspectral Microwave Instrument in All-Weather Conditions Using AI

Toward the Next Generation of Microwave Sounders: Benefits of a Low-Earth Orbit Hyperspectral Microwave Instrument in All-Weather Conditions Using AI

This study presents scientific results that serve as arguments for advocating the development of a hyperspectral microwave sensor (HyMS). Through simulation experiments, the results of this study demonstrate the major benefits of HyMS sensor observations in low-Earth orbit (LEO), including; 1) incre...

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Bibliographic Details
Main Authors: Eric S. Maddy, Flavio Iturbide-Sanchez, Sid Ahmed Boukabara
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Artificial intelligence (AI)
data assimilation
hyperspectral instruments
machine learning
microwave (MW) instruments
remote sensing
Online Access:https://ieeexplore.ieee.org/document/10411858/

Internet

https://ieeexplore.ieee.org/document/10411858/

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