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冰川冻土 ›› 2016, Vol. 38 ›› Issue (3): 596-603.doi: 10.7522/j.issn.1000-0240.2016.0066

• 冰冻圈与全球变化 • 上一篇    下一篇

基于Landsat-7ETM+SLC-OFF影像的山地冰川流速提取与评估——以Karakoram锡亚琴冰川为例

孙永玲1 2, 江利明1, 柳林1 2, 孙亚飞1 2, 汪汉胜1   

  1. 1. 中国科学院 测量与地球物理研究 所大地测量与地球动力学国家重点实验室, 湖北 武汉 430077;
    2. 中国科学院大学, 北京 100049
  • 收稿日期:2016-02-21 修回日期:2016-04-24 出版日期:2016-06-25 发布日期:2016-09-21
  • 通讯作者: 江利明,E-mail:jlm@whigg.ac.cn. E-mail:jlm@whigg.ac.cn
  • 作者简介:孙永玲(1988-),女,山东临沂人,2011年在山东交通学院获学士学位,主要从事主被动遥感冰川监测研究.E-mail:sunyongling11@mails.ucas.ac.cn
  • 基金资助:
    国家重大科学研究计划项目(2012CB957702);国家自然科学基金(41274024;41431070;41590854;41321063);中科院百人计划项目(Y205771077)资助

Surface flow velocity of mountain glaciers derived from Landsat-7 ETM+SLCOFF images:extraction and quantitative evaluation:A case study of the Siachen Glacier in the Karakoram

SUN Yongling1 2, JIANG Liming1, LIU Lin1 2, SUN Yafei1 2, WANG Hansheng1   

  1. 1. State Key Laboratory of Geodesy and Earth's Dynamics, Institute of Geodesy and Geophysics, Chinese Academy of Sciences, Wuhan 430077, China;
    2. University of Chinese Academy of Sciences, Beijing 100049, China
  • Received:2016-02-21 Revised:2016-04-24 Online:2016-06-25 Published:2016-09-21

摘要: Landsat-7机载扫描行校正器(Scan Line Corrector,SLC)失效后的ETM+影像(SLC-OFF影像)约有22%的数据缺失,严重限制了该影像在冰川研究中的应用,特别对长期缺乏高质量遥感影像的高亚洲地区冰川运动连续监测产生较大影响。以Karakoram 中部最大的锡亚琴冰川为例,初步评估了Landsat-7 ETM+SLC-OFF影像在山地冰川表面流速提取方面的适用性和可行性。选取2009年和2010年两景SLC-OFF影像,运用局部直方图匹配法(Local Linear Histogram Match,LLHM)和加权线性回归法(Weighted Liner Regression,WLR)修复缺失数据条带,并利用亚像元互相关方法对修复后两景影像进行冰川表面流速估算。结果表明,LLHM和WLR两种方法均能有效修复冰川区Landsat-7 SLC-OFF影像,其冰流估算结果与同期Landsat-5TM 影像的冰流结果较为一致,三者冰流速估算精度分别为±5.9m ·a-1、±6.3m ·a-1和±4.0m ·a-1,验证了Landsat-7 SLC-OFF 影像在山地冰川流速监测中的应用潜力。

关键词: Landsat-7 ETM+ SLC-OFF影像, 条带修复, 山地冰川流速, 锡亚琴冰川, Karakoram地区

Abstract: When the Scan Line Corrector(SLC)on Landsat-7 loses efficacy and forms a wedge-shaped data gap in SLC-OFF image,resulting in roughly 22% of the pixel to be missed,and leaving a serious problem for the application of ETM+data on studying glaciers,particularly for monitoring long- term glacial variations in High Asian Mountains,where there is few high quality remote sensing data. In this study,the Siachen Glacier,the largest glacier in the Central Karakoram,was selected as a monitoring site. We aim to evaluate the potential of the Landsat-7 ETM+ SLC-OFF images in deriving surface velocities of mountain glciers. A pair of SLC-OFF images acquired from 2009 and 2010 were used for this purpose. Two typical filling-gap methods,the localized linear histogram match(LLHM)and the weighted liner regression(WLR),were utilized to recover the above mentioned SLC-OFF images. Then the recovered images were applied for deriving glacier surface flow velocities using sub-pixel correlation. The results show that both LLHM and WLR methods can effectively repair the glacier area in the Landsat-7 SLC-OFF images. Besides,the surface flow velocities estimated with the recovered SLCOFF images are highly agreement with those from the Landsat-5 TM images. The accuracy of above three flow velocities are 5.9 m·a-1,6.3 m·a-1 and 4.0 m·a-1,respectively. This study verifies the potential of the Landsat-7 ETM+ SLC-OFF images in deriving surface flow velocities of mountain glaciers.

Key words: Landsat-7 ETM+ SLC-OFF images, filling-gap, glacier flow velocity, Siachen Glacier, Karakoram

中图分类号: 

  • P343.6