Spatiotemporal evolution and prediction of land use change and carbon storage in ionic rare earth mining areas based on the YOLOv11–SegFormer–InVEST–PLUS integrated model

Spatiotemporal evolution and prediction of land use change and carbon storage in ionic rare earth mining areas based on the YOLOv11–SegFormer–InVEST–PLUS integrated model

Rare earth resources are strategic minerals vital to high-tech and defense sectors globally, playing a crucial role in sustainable development and technological innovation worldwide. Rising demand has intensified the exploitation of ionic rare earth mines, potentially undermining dual carbon goals....

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Bibliographic Details
Main Authors: Zhenghao Zhu, Shen Zhao, Qiangfeng Li, Zongbin Shi, Yuxuan Wu, Lu Wang
Format: Article
Language:English
Published: Elsevier 2025-09-01
Series:Ecological Indicators
Subjects:
Carbon Storage
Rare Earth Mining
Land Use Change
Policy Index
Deep Learning for Environmental Monitoring
Online Access:http://www.sciencedirect.com/science/article/pii/S1470160X25009136
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