Dynamic monitoring of fine-grained ecological vulnerability in dryland urban agglomeration integrating novel remote sensing index and explainable machine learning

Rapid urbanization and climate change are exacerbating ecological vulnerability in dryland urban agglomerations, threatening ecosystem stability and sustainability. However, persistent technological gaps in large-scale, fine-grained and long-term monitoring hinder a comprehensive understanding of vu...

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Bibliografiska uppgifter

Huvudupphov:	Chunqiang Li, Shanchuan Guo, Qin Huang, Haowei Mu, Bo Yuan, Zilong Xia, Hong Fang, Wei Zhang, Pengfei Tang, Peijun Du
Materialtyp:	Artigo
Språk:	Inglês
Utgiven:	Taylor & Francis Group 2025-12-01
Serie:	GIScience & Remote Sensing
Ämnen:	Ecological vulnerability dryland urban agglomerations explainable machine learning Dryland Ecological Vulnerability Index (DEVI) SHAP analysis
Länkar:	https://www.tandfonline.com/doi/10.1080/15481603.2025.2528302
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