Spectral Fingerprinting of Methane from Hyper-Spectral Sounder Measurements Using Machine Learning and Radiative Kernel-Based Inversion

Spectral Fingerprinting of Methane from Hyper-Spectral Sounder Measurements Using Machine Learning and Radiative Kernel-Based Inversion

Satellite-based hyper-spectral infrared (IR) sensors such as the Atmospheric Infrared Sounder (AIRS), the Cross-track Infrared Sounder (CrIS), and the Infrared Atmospheric Sounding Interferometer (IASI) cover many methane (CH<sub>4</sub>) spectral features, including the ν1 vibrational b...

Full description

Bibliographic Details
Main Authors: Wan Wu, Xu Liu, Xiaozhen Xiong, Qiguang Yang, Lihang Zhou, Liqiao Lei, Daniel K. Zhou, Allen M. Larar
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Remote Sensing
Subjects:
methane
hyper-spectral infrared sounder measurements
CrIS
retrieval
spectral fingerprinting
Online Access:https://www.mdpi.com/2072-4292/16/3/578

Internet

https://www.mdpi.com/2072-4292/16/3/578

Similar Items