关于不同采样分辨率和空间分辨率在采样策略中对山体滑坡易感性测绘结果的影响的研究
Xianyu Yu1,2, Huihui Chen3
1School of Civil Engineering, Architecture and Environment, Hubei University of Technology, Wuhan, 430068, China. yuxianyu@hbut.edu.cn.
Scientific reports
|January 17, 2024
概括
这项研究表明,更高的空间分辨率提高了山体滑坡易感性绘图的准确性,而更高的采样分辨率降低了它. 空间分辨率对滑坡预测的影响比采样分辨率更大.
科学领域:
- 地质科学 地质科学
- 天然危害 天然危害
- 地理信息系统 (GIS) 是一个地理信息系统.
背景情况:
- 滑坡带来了重大的全球风险,需要改进滑坡易感性测绘 (LSM).
- 了解数据解析对LSM的影响对于准确的危险评估至关重要.
研究的目的:
- 调查采样和空间分辨率对山体滑坡易感性测绘 (LSM) 结果的影响.
- 为了比较不同分辨率类型对滑坡预测模型准确性的影响.
主要方法:
- 用户支持向量机 (SVM) 为LSM,通过接收器操作特征 (ROC) 曲线,准确度指标,人工神经网络 (ANN) 和卷积神经网络 (CNN) 进行验证.
- 使用物流回归 (LR) 和四个采样分辨率 (10m,30m,50m,70m) 进行实验,以评估采样分辨率的影响.
- 在所有实验中使用了全面的定量评估方法.
主要成果:
- 增加空间分辨率显著提高了LSM预测的准确性.
- 增加抽样分辨率会对LSM预测准确性产生负面影响.
- 与采样分辨率相比,空间分辨率对LSM结果的影响更大.
结论:
- 优化空间分辨率是改善滑坡易感模型的关键.
- 采样分辨率需要仔细考虑,以避免损害预测准确性.
- 这些发现与工程现实一致,为滑坡危险管理提供了实际见解.
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