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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Autori principali:	Eric S. Maddy, Flavio Iturbide-Sanchez, Sid Ahmed Boukabara
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	IEEE 2024-01-01
Serie:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Soggetti:	Artificial intelligence (AI) data assimilation hyperspectral instruments machine learning microwave (MW) instruments remote sensing
Accesso online:	https://ieeexplore.ieee.org/document/10411858/
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