摘要
地貌对地质灾害的分布、类型、规模与危害等特征具有重要的影响,宏观及微观地貌指标均能在一定程度上刻画其作用特征。应用高分辨率遥感影像详细解译崩塌和滑坡灾害,采用高精度DEM和滑动窗口技术提取地貌分维特征,并用其解析灾害分布的地貌特征。结果表明:灾害体的内部与后壁、前缘、侧壁和邻区均表现出较为明显的分异性,崩塌的微地貌分异特征较之滑坡显著,大型、厚层、老(古)崩塌及滑坡分异特征更为突出。计算地貌分维值可有效识别与其同时期的或更早的地质灾害,也可间接挖掘新发生灾害的微地貌复杂性和离散性。
Topography observably affects type,distribution,size,and harm of geological disasters.Different scales of geomorphologic indicators can reflect different effects of geological disasters.Based on high resolution remote sensing images,collapse and landslide disasters were interpreted in detail,and topography fractal dimension map of high-precision DEM was applied to analyze the micro geomorphologic feature of disasters.The research shows that the internal,scarp,front edge,side edge and adjacent area have obvious differentiation;the differentiation of rock fall is more significant than landslide,and the large,thick,old(ancient)collapse and landslides are 30 times higher.The contemporaneous or earlier geological disasters could be reflected by the fractal dimension of topography directly,and so do the geomorphologic complexity and discrete of new disasters.
出处
《地球与环境》
CAS
CSCD
2015年第2期167-172,共6页
Earth and Environment
基金
教育部新教师基金(20105122120014)
国家自然科学基金(40972225)
四川省教育厅重点项目(11ZA048)
成都理工大学中青年骨干教师培养计划
成都理工大学城乡规划教学创新团队计划(KYTD201403)联合资助
关键词
耦合性
微观地貌
高分遥感影像
分异性
丹巴县
Coupling
microscopic topography
high resolution remote sensing image
differentiation
Danba County