首页 | 本学科首页   官方微博 | 高级检索  
     检索      

云南鲁甸M_S6.5地震灾区滑坡提取方法研究
引用本文:沈攀,温兴平,石振杰,马威.云南鲁甸M_S6.5地震灾区滑坡提取方法研究[J].安徽农业科学,2016(16):270-274.
作者姓名:沈攀  温兴平  石振杰  马威
作者单位:昆明理工大学国土资源工程学院,云南昆明650093; 云南省矿产资源预测评价工程实验室,云南昆明650093
基金项目:国家自然科学基金项目(41101343)。
摘    要:目的]利用遥感技术快速准确的提取地震灾区滑坡。方法]以鲁甸地震灾区为研究区,分别运用高分一号和Landsat8卫星OLI多光谱影像数据。结果]利用面向对象影像分类以及波段运算等技术,结合震前、震后影像,对灾区滑坡进行提取,在此基础上总结了地震次生灾害的关键技术和工作流程。结论]以Landsat8卫星影像为数据源,进行波段运算,能较好的提取地震次生灾害。

关 键 词:面向对象分类  地震次生灾害  遥感影像  波段运算

Landslide Extraction Method of the MS 6. 5 Earthquake Stricken Area in Ludian County of Yunnan Province
Abstract:Objective] To quickly and accurately extract the landslide in earthquake stricken area by remote sensing technology. Method] Using the earthquake stricken area in Ludian County as the study area, we adopted the high score 1 and Landsat8 satellite OLI multi-spectral image data. Result] The oriented object image classification and the band operation technology were used. Combing with the pre and post earthquake images, landslide in earthquake stricken area was extracted. Based on this, we summarized the key technology and the work flow in secondary disasters of earthquake. Conclusion] With Landsat8 satellite images as the data source, band operation iscarried out, which can produce better extraction of seismic secondary disasters.
Keywords:Object oriented classification  Earthquake secondary disaster  Remote sensing image  Band math
本文献已被 CNKI 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号