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Updated: Sep 14, 2025

Integrating Remote Sensing with Species Distribution Models; Mapping Tamarisk Invasions Using the Software for Assisted Habitat Modeling SAHM
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一个带有动态安全因子映射的MaxEnt-TRIGRS混合模型,用于在雨量触发的地形中进行增强的碎片流感受性评估

Xinlong Xu1, Yue Qiang2, Li Li1

  • 1Civil Engineering College, Chongqing Three Gorges University, Wanzhou, 404100, Chongqing, China.

Scientific reports
|July 19, 2025
PubMed
概括

这项研究引入了一种新的混合碎片流感受性模型,该模型结合了统计和物理方法. 综合框架显著提高了预测准确性,并完善了危险区的识别,以更好地减轻灾害.

关键词:
这里是北川国家,北川国家.碎片流感受性映射 碎片流感受性映射整合模型的整合模型机器学习模型机器学习模型物理模型 物理模型

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