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通过对斯皮蒂山谷的机器学习模型中评估非滑坡区域采样来提高滑坡灾害预测能力 印度

Devraj Dhakal1, Kanwarpreet Singh1, Kennedy C Onyelowe2,3

  • 1Department of Civil Engineering, Chandigarh University, Mohali, India.

Scientific reports
|April 10, 2025
PubMed
概括

新的采样方法显著改善了斯皮蒂山谷的山体滑坡易感性测绘. 斜坡缓冲安全点 (SBSP) 技术提高了在山区减轻灾害的预测准确性和可靠性.

关键词:
地理信息学是一种地理信息学.土地滑坡预测的预测土地滑坡易感性映射 (LSM) 是指土地滑坡易感性的映射.机器学习模型的机器学习模型非山体滑坡采样采样斯皮蒂山谷的斯皮蒂山谷是什么意思

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