利用NDVI时间序列识别汶川地震滑坡的分布
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摘要
利用MODIS NDVI产品,生成了全年16天间隔的NDVI时间序列,再经过Savitzky-Golay滤波后消除了云的影响,可以用来识别滑坡。假设2007年、2008年研究区土地利用状况基本不变,对比2007年和2008年两年的NDVI序列,并结合汶川地震的发生时间,可以识别出研究区发生滑坡的区域分布。结合平武县30mETM目视解译滑坡结果,对自动识别方法进行了验证。结果表明:MODIS识别出的滑坡与目视解译结果匹配较好。在此基础上,将本文方法应用到受汶川地震影响最严重的13个县区级行政区,并综合研究区坡度信息,识别出了汶川重灾区滑坡分布概图。
In 2008,the Wenchuan earthquake caused massive landslides in mountainous regions.Earthquake induced landslides can distribute widely and can have special spatial distribution patterns.The main limits of using high resolution satellite images to identify landslides are easy affection by clouds,high costs and longer return period.To overcome these faults,it is necessary to explore an effective method to identify landslides by using the free cost and high temporal resolution MODIS data.By using MODIS NDVI products of 16 day interval,yearly NDVI time series can be formed to identify landslides after Savitzky-Golay filtering.The spatial distribution of landslides induced by this event can be further identified by comparing NDVI series between 2007 and 2008 as well as by considering the occurring time of the great earthquake.In this research,Pingwu county is selected as an experimental area to test the efficiency of the proposed method,and landslides interpreted from ETM images with 30m resolution are used to test its precision.Based on above analysis and by adding slope information from DEM,this method is then applied to the whole Wenchuan affected region which has 13 county-level districts to produce landslide distribution maps of this region.
引文
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