摘要
青海省海东市乐都区碾伯镇为浅山黄土丘陵地区,沟壑纵横,滑坡等地质灾害活动频发,对社会经济、人身安全及农业生产等造成了巨大损失。结合多时相高空间分辨率遥感影像、多光谱遥感影像以及DEM地形数据,采用变化检测辅助面向对象方法对研究区的黄土滑坡信息进行提取。结果表明,区滑坡地质灾害点在近居民地距离约150 m,海拔为2000~2300 m的边坡地带分布较多。结合野外实地调查对提取结果进行精度检验与分析,滑坡提取有效准确率为70.37%,可为研究区的地质防灾减灾工作提供参考。
Nianbo town,located in the Ledu district of Haidong city,Qinghai province,is characterized by a ter-rain of shallow mountains and loess hills with crossbar gullies.The region is frequently affected by geological dis-asters,particularly loess landslides,which have caused huge losses to socio-economic,personal safety,and agri-cultural production.Loess landslide of the study area is extracted by the change detection-assisted object-oriented method from multi-source remote sensing data including high-resolution,multi-spectral remote sensing images and DEM.The results show that the majority of the landslide-prone areasare concentrated within 150 m of human set-tlements and at elevations ranging from 2000 to 2300 m.The accuracy of the landslide extraction was validated through a combination of field investigations and an accuracy assessment of the remote sensing data.The results demonstrate a high correlation with the actual conditions,with an extraction accuracy of 70.37%.Consequently,it can be considered satisfactory for providing a reference for the subsequent geological disaster prevention efforts in NianboTown.
作者
裘湧泉
刘丹
杨海明
QIU Yongquan;LIU Dan;YANG Haiming(State Key Laboratory of Nuclear Resources and Environment,East China University of Technology,Nanchang 330013,China;Geographic Information Engineering Brigade,Jiangxi Provincial Bureau of Geology,Nanchang 330001,China;Key Laboratory of Mine Environmental Monitoring and Improving around Poyang Lake of Ministry of Natural Resources,East China University of Technology,Nanchang 330013,China;School of Surveying and Geoinformation Engineering,East China University of Technology,Nanchang 330013,China;The Third Qinghai Nonferrous Metals Geological Exploration Institute,Xining 810012,China)
出处
《东华理工大学学报(自然科学版)》
北大核心
2025年第1期73-83,共11页
Journal of East China University of Technology(Natural Science)
基金
江西省自然科学基金青年基金项目(20232BAB213054)
核资源与环境国家重点实验室开放基金项目(2020NRE17)。
关键词
多源遥感数据
滑坡提取规则
黄土滑坡
青海
multi⁃source remote sensing data
rules of landslide extraction
loess landslide
Qinghai
