Modify the Accuracy of MODIS PWV in China: A Performance Comparison Using Random Forest, Generalized Regression Neural Network and Back-Propagation Neural Network

Modify the Accuracy of MODIS PWV in China: A Performance Comparison Using Random Forest, Generalized Regression Neural Network and Back-Propagation Neural Network

Water vapor plays an important role in climate change and water cycling, but there are few water vapor products with both high spatial resolution and high accuracy that effectively monitor the change of water vapor. The high precision Global Navigation Satellite System (GNSS) Precipitable Water Vapo...

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Bibliographic Details
Main Authors: Zhaohui Xiong, Xiaogong Sun, Jizhang Sang, Xiaomin Wei
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:Remote Sensing
Subjects:
MODIS PWV
back-propagation neural network
random forest
generalized regression neural network
Online Access:https://www.mdpi.com/2072-4292/13/11/2215

Internet

https://www.mdpi.com/2072-4292/13/11/2215

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