使用不同的混合机器学习模型,对西藏高原东南部冰川相关碎片流的易感性评估

Rui Yu1, Rui Guo2, Liming Jiang1

  • 1State Key Laboratory of Geodesy and Earth's Dynamics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan 430077, China; University of Chinese Academy of Sciences, Beijing 100049, China.

PubMed
概括

在西藏高原东南部,冰川相关碎片流的易受性被使用混合模型评估. CF-RF模型显著提高了准确性,识别了基础设施开发的高风险区域.