Spatial Heterogeneity and Drivers of Vertical Error in Global DEMs: An Explainable Machine Learning Approach in Complex Subtropical Coastal Zones

Digital elevation models (DEMs) are foundational for critical tasks such as flood inundation simulation, disaster risk assessment, and ecosystem monitoring in coastal zones, yet their vertical accuracy is significantly compromised by complex terrain and surface characteristics. This study quantitati...

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Principais autores:	Junhui Chen, Fei Tang, Heshan Lin, Bo Huang, Xueping Lin
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2026-04-01
coleção:	Remote Sensing
Assuntos:	global DEMs vertical error decomposition XGBoost-SHAP ICESat-2 coastal zone
Acesso em linha:	https://www.mdpi.com/2072-4292/18/8/1125
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