基于多源遥感影像的动态滑坡灾害空间预测模型研究

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开发工具:Python
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上传日期:2020-04-11 21:12:41
上 传 者顾林丶
说明:  论文利用多源遥感影像,同时结合野外调查数据、专业监测数据、地质相关资 料,在已有研究成果的基础上,研究影响因子与滑坡灾害的分布情况、关联关系。 通过多时相遥感影像,提取土地利用和土地利用变化信息、重大人类工程活动及其 变化信息,挖掘地物变化与滑坡灾害易发性直接或间接的规律。利用数据驱动的机 器学习方法,建立了单个滑坡体和区域范围的滑坡灾害空间预测模型,实现了秭归 至巴东段滑坡灾害动态空间预测。
(In this paper, multi-source remote sensing image, field survey data, professional monitoring data and geological related information are used Based on the existing research results, this paper studies the distribution and correlation of influence factors and landslide disasters. Through multi temporal remote sensing image, land use and land use change information, major human engineering activities and Change information, mining the direct or indirect law between the change of ground features and the vulnerability of landslides. Data driven machine Based on the method of machine learning, the spatial prediction model of single landslide body and regional landslide disaster is established, and Zigui is realized The dynamic spatial prediction of landslide disaster in the section from to Badong.)

文件列表:
基于多源遥感影像的动态滑坡灾害空间预测模型研究_许石罗.caj (12260292, 2020-02-01)

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