详细信息
2005-2015年年楚河流域冰川动态变化遥感监测研究 被引量:4
Remotely Sensed Changes Detection of Glacier of Nyangqu River Valley during 2005~2015
文献类型:期刊文献
中文题名:2005-2015年年楚河流域冰川动态变化遥感监测研究
英文题名:Remotely Sensed Changes Detection of Glacier of Nyangqu River Valley during 2005~2015
作者:孙红[1] 扎西央宗[2] 李林[2] 洛桑曲珍[2] 田昕[1]
第一作者:孙红
机构:[1]中国林业科学研究院资源信息研究所;[2]西藏高原大气环境科学研究所
年份:2016
卷号:36
期号:4
起止页码:86-91
中文期刊名:高原山地气象研究
外文期刊名:Plateau and Mountain Meteorology Research
收录:CSTPCD
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-3 VIRR遥感数据的藏北地区干旱遥感监测方法研究"(41465006)
语种:中文
中文关键词:年楚河;冰川面积;冰川体积;变化监测
外文关键词:Nyangqu River; glacier area; glacier volume; change detection;
分类号:P407
摘要:本文结合多模式遥感数据及产品对西藏年楚河流域上游地区10年间(2005~2015年)的冰川变化进行了监测分析。基于支持向量机(SVM)的分类结果表明:冰川面积减少了21.7km^2,退化率(PAC)为16.94%,年退化率(APAC)为1.69%。冰川厚度变化监测采用了两期遥感数字表面模型(DSM)差值法,结果表明冰川厚度减少了5.20m。冰川体积变化用厚度变化与面积变化的乘积计算。结果表明,10年间研究区内冰川体积减少了0.71km^3。以上分析结果表明,研究区冰川在此10年间出现了重度退化。
This study detected and analyzed changes of the glacier over Nyangqu River Valley in the Tibet between 2005 and 2015 by use of multi-mode remote sensing data and products. The classification result based on Support Vector Machine( SVM) showed that,the glacier area decreased by 21. 7km-2,with 16. 94% of percentages of area changes( PAC) and with1. 69% of annual percentages of area changes( APAC). We applied two temporal remotely sensed digital surface model( DSM)products to monitor the changes of the glacier thickness changes. The result showed that,the thickness decreased by 5. 20 m.The glacier volume change was calculated by the changed thicknesses multiplying the changed areas,which decreased by0. 71km-3. All above analyses indicated that the local glaciers was severely degraded during the past ten years.
参考文献:
正在载入数据...