Ensemble Learning for Spatial Modeling of Icing Fields from Multi-Source Remote Sensing Data

Ensemble Learning for Spatial Modeling of Icing Fields from Multi-Source Remote Sensing Data

Accurate real-time icing grid fields are critical for preventing ice-related disasters during winter and protecting property. These fields are essential for both mapping ice distribution and predicting icing using physical models combined with numerical weather prediction systems. However, developin...

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Bibliographic Details
Main Authors: Shaohui Zhou, Zhiqiu Gao, Bo Gong, Hourong Zhang, Haipeng Zhang, Jinqiang He, Xingya Xi
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Remote Sensing
Subjects:
icing grid
EBKI
stacking model
remote sensing data fusion
SHAP model interpretation
Online Access:https://www.mdpi.com/2072-4292/17/13/2155
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