Temperature and Humidity Profile Retrieval from FY4-GIIRS Hyperspectral Data Using Artificial Neural Networks

Temperature and Humidity Profile Retrieval from FY4-GIIRS Hyperspectral Data Using Artificial Neural Networks

This study proposes a new technique for retrieving temperature and humidity profiles based on Artificial Neural Networks (ANNs) using data acquired from the GIIRS (Geosynchronous Interferometric Infrared Sounder) L1 and ERA-Interim (European Centre for Medium-Range Weather Forecasts Reanalysis). The...

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Bibliographic Details
Main Authors: Xi Cai, Yansong Bao, George P. Petropoulos, Feng Lu, Qifeng Lu, Liuhua Zhu, Ying Wu
Format: Article
Language:English
Published: MDPI AG 2020-06-01
Series:Remote Sensing
Subjects:
GIIRS
hyperspectral
Earth Observation
Artificial Neural Network
temperature
humidity
Online Access:https://www.mdpi.com/2072-4292/12/11/1872

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