摘要
滑坡是我国南方丘陵地带常见的地质灾害之一,了解和分析滑坡的孕灾环境和致灾因子对灾害的预警以及灾后救助具有重要的意义。结合对ALOS遥感影像的分析,采用多因子聚合方法,并运用地理信息系统空间分析方法,建立了基于遥感的滑坡风险评估模型。以江西省广昌县为例,运用该模型提取出滑坡风险区域并将其划分等级,评价结果与野外调查情况基本相符。
Landslide is one of the common geological disasters in the southern China. Understanding and analyzing the disaster-breeding environment and disaster-formative factors of landslide are of importance for landslide forecast and rescue after the landslide. Combining factors extracted from ALOS images and multi-factors analysis of these factors, a landslide risk evaluation model was made using GIS analysis method. This model was applied to Guangchang, Jiangxi Province to extract the landslide risk areas, which were then classified. The results are basi- cally in agreement with field survey data.
出处
《自然灾害学报》
CSCD
北大核心
2008年第6期68-72,共5页
Journal of Natural Disasters
基金
国际科技合作计划项目(2007DFA20640)
国家高技术研究发展计划项目(2006AA120102
2007AA120306
2007AA120205)
关键词
地质灾害
风险评估
广昌
先进对地观测卫星
geological disaster
risk assessment
Guangchang
advanced land observing satellite (ALOS)