摘要
针对洪水发生时刻卫星影像数据缺乏的情况,提出了一种延时估测洪水淹没范围的方法。首先采用植被指数法和土壤含水量变化法提取洪水发生前、后植被及土壤遗留下的变化和痕迹,然后利用DEM高程数据进行淹没推算,估测洪水淹没的最大范围。选用Landsat TM、ETM数据以及90m分辨率的DEM数据进行试验。结果表明,在植被覆盖率高、植被种类复杂的平原地区,植被变化痕迹方法可用于估测洪水淹没范围;而在植被覆盖率低、植被种类单一的河谷地区,土壤含水量变化痕迹法更加适用。将估算结果与现场调访数据或洪水发生后一天的影像数据对比显示,不同类型的地貌区选取相适宜的估算方法能够获得较好的洪水淹没范围估算效果。
In this paper,a new method for estimating the flood inundation is proposed,which is based on the situation of lack satellite image data. Vegetation index method and soil water content method were used to extract the differences of vegetation and soil before and after the flood, and then the maximum range of flood inundation was estimated by using seed flooding algorithm and DEM data. Landsat TM, ETM and DEM data were used in this paper. The results showed that in plain region with high vegetation cover and more vegetation types,the vegetation index can be used to estimate the flood inundated area;in the river valley area with low vegetation cover and less vegetation types,the soil water content method is better. Comparing the results with the data from the field survey and the data from the satellite image of the second day after the flood, it shows that the estimation method can be used to extract the flood inundation. This method can be used in the study of historical flood which is lack of archive data.
出处
《遥感信息》
CSCD
北大核心
2016年第6期147-152,共6页
Remote Sensing Information
基金
电力设计院项目(37-2014-24-K0011)
