Combining the SHAP Method and Machine Learning Algorithm for Desert Type Extraction and Change Analysis on the Qinghai–Tibetan Plateau

Combining the SHAP Method and Machine Learning Algorithm for Desert Type Extraction and Change Analysis on the Qinghai–Tibetan Plateau

For regional desertification control and sustainable development, it is critical to quickly and accurately understand the distribution pattern and spatial and temporal changes of deserts. In this work, five different machine learning algorithms are used to classify different desert types on the Qing...

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Bibliographic Details
Main Authors: Ruijie Lu, Shulin Liu, Hanchen Duan, Wenping Kang, Ying Zhi
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Remote Sensing
Subjects:
desert classification
Qinghai-Tibetan Plateau
SHAP
geodetector
Online Access:https://www.mdpi.com/2072-4292/16/23/4414
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