西藏年楚河流域冰川变化监测方法研究  

Research on Glacier Change Monitoring in Nianchu River Basin

作　　者：扎西央宗[1] 李林[1] 卓玛[2] 冯岩[3] 李学东 白玛央宗[1] 

机构地区：[1]西藏高原大气环境科学研究所,西藏拉萨850000 [2]西藏自治区气候中心,西藏拉萨85000 [3]中国林业科学研究院,北京100091 [4]中国林业科学研究院华北林业实验中心,北京102300

出　　处：《遥感技术与应用》2017年第6期1126-1131,共6页Remote Sensing Technology and Application

基　　金：2014年西藏自治区第一批重点科技项目;国家自然地区科学基金项目"基于MODISFY-3VIRR遥感数据的藏北地区干旱遥感监测方法研究"(41465006);西藏自治区气象局高原遥感应用技术创新团队基金资助

摘　　要：利用1996年、2005年两个时相的Landsat-5TM数据及其冰雪指数、水体指数等,结合同时期ERS-1/2、ENVISAT ASAR的合成孔径雷达(Synthetic Aperture Radar,SAR)数据的强度信息、相干信息等特征参数引入支持向量机(Support Vector Machine,SVM)分类器,针对西藏年楚河流域的冰川信息进行了分类提取。结果表明:光学与SAR影像特征组合经过优选后,可有效区分冰川和水体,两个时相的总体识别精度分别为84%和85%。在两期分类专题图结果基础上,进一步对冰川边界、面积的变化情况进行了分析研究,结果发现,由于气候变暖的原因,1996至2005年楚河流域的冰川面积共减少了154.7km^2。This study extracted the local glacier information over the Nianchu river basin in the Tibet in 1996 and 2005 by using ice index,snow index and water index of Landsat TM-5 multi-spectral images,and Synthetic Aperture Radar （SAR）intensity and coherence information of ERS-1/2 and Envisat ASAR.The optimized features were determined by their classification accuracies based on Support Vector Machine （SVM）classifier.The result showed that the composition of multi-spectral and SAR features could effec- tively discriminate the water and ice from other types,with overall accuracies of 84% and 85% in 1996 and 2005, respectively.Based on the thematic information of these two years ,the changes of the local glacial are- a and boundary were detected.The result showed that the glacial area of the Nianchu river basin was re- duced by 154.7 km2 ,which mainly caused by the climate warming.

关 键 词：冰川 变化监测 Landsat-5 TM SAR 

分 类 号：TP79[自动化与计算机技术—检测技术与自动化装置]