【作者】 扎西央宗； 李林； 戴睿； 白玛央宗；

【Author】 ZHAXi Yangzong;LI Lin;Dai Rui;BAIMa Yangzong;Tibetan Institute of Atmospheric Environment and Science;

【机构】 西藏高原大气环境科学研究所；

【摘要】 本文利用两个时相的Landsat-5 TM中分辨率遥感数据,结合同时期的ERS-1/2、ENVISAT ASAR数据,将SAR影像的强度信息、相干信息以及光学影像的冰雪指数、水体指数等特征参数引入SVM分类器,进行了西藏年楚河流域的冰川信息分类提取,有效的区分了冰川和水体,得到了较好的分类结果。在此基础上,进一步对冰川边界、面积的变化情况开展了研究分析,实现了对该流域的冰川大区域覆盖的遥感动态监测。更多还原

【Abstract】 The method of extraction of glacier information was explored in this research using Landsat-5 TM in 1996 and 2005,and ERS-1/2,ENVISAT ASAR image with the same phase.The characteristic parameters,including the intensity information,coherent information of SAR images,as well as the ice index,snow index and water index of optical image,were introduced into SVM classifier,to conduct the classification and extraction of Glacier information of Nian-chu River Basin in Tibet.The classification results showed that,it is effective to distinguish between ice and snow by means of above method,which created high accuracy of classification.Furthermore,different characteristics of glacier boundary and the areas were analyzed,and then the remote sensing-based dynamic monitoring of glacier was also operated.更多还原