【摘要】 地震灾害评估对于抗震救灾具有重要的现实意义,传统的灾害评估方法大多基于震后实地的统计数据进行,在数据获取的现势性和灾害评估效率方面存在问题,针对这一不足,结合遥感数据的特点,提出了一种基于遥感不透水层估算的地震灾后城区损坏面积评估方法。该方法首先对地震前后玉树地区的两幅中分辨率遥感影像进行预处理,然后基于V-I-S模型,利用线性光谱混合分析方法,分别对地震前后震区遥感影像进行端元提取,获得不透水层的丰度图,最后通过计算地震前后不透水层像元个数,进行地震灾后城区损坏面积的评估。通过精度分析可以看出:该方法可以快速及时地获取城市区域建筑物、公路等重要地物的宏观损坏面积情况,为灾后重建和震后决策提供了一定的依据。更多还原

【Abstract】 The assessment for earthquake disaster has important practical significance to the relief work,the traditional methods are mostly on the field statistic data after the earthquake,the shortness including the up to date state of the data acquiring and usually exists the efficiency of the disaster assessment.On account of this callback,and combined with the characteristics of the remote sensing data,this paper proposed an assessment method for post-earthquake urban damaged area based on the impervious surface estimate.Firstly,the two middle-resolution remote sensing images before and after the earthquake in the area of Yushu were preprocessed,and then a linear spectral mixture analysis method was used based on the VIS model,the endmembers of the remote sensing images before and after earthquake were extracted by respectively,and the abundance map of the impervious surface was obtained,finally,the earthquake disaster damage area assessment was evaluated by calculating the number of pixels of the impervious surface before and after the earthquake.The accuracy analysis indicated that the method was proposed this paper could obtain the macro situations of the damage area,includeing the urban buildings,important roads,etc.in quickly and timely,and provided a certain basis for post-earthquake reconstruction and decision.更多还原