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首页> 外文期刊>Remote Sensing of Environment: An Interdisciplinary Journal >Remote sensing estimates of glacier mass balances in the Himachal Pradesh (Western Himalaya, India)
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Remote sensing estimates of glacier mass balances in the Himachal Pradesh (Western Himalaya, India)

机译:喜马al尔邦(印度喜马拉雅山)冰川质量平衡的遥感估计

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摘要

Although they correspond to an important fraction of the total area of mountain glaciers (33,000 km2 out of 546,000 km2), Himalayan glaciers and their mass balance are poorly sampled. For example, between 1977 and 1999, the average area surveyed each year on the field was 6.8 km2 only. No direct mass balance measurement is available after 1999. To contribute to fill this gap, we use remote sensing data to monitor glacier elevation changes and mass balances in the Spiti/Lahaul region (32.2°N, 77.6°E, Himachal Pradesh, Western Himalaya, India). Our measurements are obtained by comparing a 2004 digital elevation model (DEM) to the 2000 SRTM (Shuttle Radar Topographic Mission) topography. The 2004 DEM is derived from two SPOT5 satellite optical images without any ground control points. This is achieved thanks to the good on-board geolocation of SPOT5 scenes and using SRTM elevations as a reference on the ice free zones. Before comparison on glaciers, the two DEMs are analyzed on the stable areas surrounding the glaciers where no elevation change is expected. Two different biases are detected. A long wavelength bias affects the SPOT5 DEM and is correlated to an anomaly in the roll of the SPOT5 satellite. A bias is also observed as a function of altitude and is attributed to the SRTM dataset. Both biases are modeled and removed to permit unbiased comparison of the two DEM on the 915 km2 ice-covered area digitized from an ASTER image. On most glaciers, a clear thinning is measured at low elevations, even on debris-covered tongues. Between 1999 and 2004, we obtain an overall specific mass balance of ? 0.7 to ? 0.85 m/a (water equivalent) depending on the density we use for the lost (or gained) material in the accumulation zone. This rate of ice loss is twice higher than the long-term (1977 to 1999) mass balance record for Himalaya indicating an increase in the pace of glacier wastage. To assess whether these ice losses are size-dependant, all glaciers were classified into three samples according to their areal extent. All three samples show ice loss, the loss being higher for glaciers larger than 30 km2. In the case of the benchmark Chhota Shigri glacier, a good agreement is found between our satellite observations and the mass balances measured on the field during hydrological years 2002–2003 and 2003–2004. Future studies using a similar methodology could determine whether similar ice losses have occurred in other parts of the Himalaya and may allow evaluation of the contribution of this mountain range to ongoing sea level rise.
机译:尽管它们占高山冰川总面积的重要部分(在546,000平方公里中占33,000平方公里),但对喜马拉雅冰川及其质量平衡的采样却很少。例如,在1977年至1999年之间,每年实地调查的平均面积仅为6.8 km2。 1999年之后,没有直接的质量平衡测量可用。为弥补这一空白,我们使用遥感数据监测了Spiti / Lahaul地区(北纬32.2°,东经77.6°,喜马al尔邦,西喜马拉雅山)的冰川海拔变化和质量平衡。 ,印度)。我们的测量是通过将2004年数字高程模型(DEM)与2000 SRTM(航天飞机雷达地形任务)地形进行比较而获得的。 2004 DEM是从两个没有任何地面控制点的SPOT5卫星光学图像中得出的。这要归功于SPOT5场景在船上的良好地理位置,并使用SRTM高程作为无冰区的参考。在对冰川进行比较之前,先对冰川周围的稳定区域(预计海拔不会发生变化)进行分析,以分析这两个DEM。检测到两个不同的偏差。较长的波长偏差会影响SPOT5 DEM,并与SPOT5卫星的滚转异常有关。还可以看到偏差是海拔的函数,并且可以归因于SRTM数据集。对两个偏差都进行了建模和消除,以允许对从ASTER图像数字化的915 km2冰雪覆盖区域上的两个DEM进行无偏比较。在大多数冰川上,即使在覆盖有碎屑的舌头上,也可以在低海拔高度测量出明显的稀疏性。在1999年至2004年之间,我们获得的整体特定质量平衡为? 0.7到? 0.85 m / a(水当量),取决于我们用于堆积区中丢失(或获得)物料的密度。冰川的流失速度是喜马拉雅山长期(1977年至1999年)质量平衡记录的两倍,表明冰川消融的速度有所增加。为了评估这些冰损失是否取决于大小,将所有冰川根据其面积划分为三个样本。所有这三个样本都显示出冰的流失,而大于30 km2的冰川的流失率更高。在基准的Chhota Shigri冰川的情况下,我们的卫星观测结果与2002-2003年和2003-2004年水文学年实地测得的质量平衡之间达成了很好的协议。未来使用类似方法进行的研究可以确定喜马拉雅其他地区是否发生过类似的冰损失,并且可以评估该山脉对持续海平面上升的贡献。

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