Atmospheric Humidity Estimation From Wind Profiler Radar Using a Cascaded Machine Learning Approach

Atmospheric Humidity Estimation From Wind Profiler Radar Using a Cascaded Machine Learning Approach

A method for estimating atmospheric relative humidity using wind profiler radar and a “cascaded” machine learning algorithm is introduced. Unlike existing methods in the literature, the proposed approach uses only I/Q or moment data from the profiler radar to generate an interm...

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Bibliographic Details
Main Authors: Anas Amaireh, Yan Zhang, P. W. Chan
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Decision tree
ensemble tree
machine learning (ML)
neural network (NN)
profiler radar
relative humidity (RH)
Online Access:https://ieeexplore.ieee.org/document/10173525/

Internet

https://ieeexplore.ieee.org/document/10173525/

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