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以重庆大学城隧道建设中与营运后的两期高分遥感影像为例,通过人机交互式遥感解译,提取各期影像的地表覆盖分类信息,在此基础上对生态环境中的林地、耕地、地表水以及其他用地的动态变化情况以及相关环境指数作详细分析,从而获得隧道建设过程中的地表环境变化情况。为验证该应用方法的可推广性,选取碧鸡关隧道建设前后3个不同时期的高分遥感影像,成功分析出该隧道在修建过程中的地表环境动态变化情况。
Taking the construction of Chongqing University City Tunnel and the two high-resolution remote sensing images after the operation as an example, the surface coverage classification information of each period of image was extracted through human-computer interactive remote sensing interpretation. Based on this, The dynamic changes of cultivated land, surface water and other land and the related environmental indexes are analyzed in detail so as to obtain the change of the surface environment during the tunnel construction. In order to verify the extendability of this application method, the high-resolution remote sensing images of Bijiguan Tunnel before and after the construction at three different periods were selected and the dynamic changes of the surface environment of the tunnel during the construction were successfully analyzed.