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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-5 TM影像的冰流结果较为一致,三者冰流速估算精度分别为±5.9 m·a~(-1)、±6.3 m·a~(-1)和±4.0 m·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.
Approximately 22% of ETM + images (SLC-OFF images) of the Landsat-7 Scan Line Corrector (SLC) after failure have severely limited the application of the image in glacier research, especially for long-term The continuous monitoring of glaciers in high Asia, which lacks high-quality remote sensing images, has a great impact. Taking the largest Siacinth glacier in the central part of Karakoram as an example, the preliminary evaluation of the Landsat-7 ETM + SLC- Applicability and Feasibility SLC-OFF images of two scenes in 2009 and 2010 were selected, and the missing data bands were repaired by Local Linear Histogram Match (LLHM) and Weighted Liner Regression (WLR) , And the sub-pixel cross-correlation method was used to estimate the glacier surface velocity of the two restored images.The results show that both LLHM and WLR methods can effectively repair the Landsat-7 SLC-OFF image in the glacier region, The results of ice flow in Landsat-5 TM images are consistent with the accuracy of ± 5.9 m · a -1, ± 6.3 m · a -1 and ± 4.0 m · a -1 -1), validated the Landsat-7 SLC-OFF image in mountain ice Application potential of flow velocity monitoring.