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Resolving Biases in DEM Differencing for Estimation of Change in Elevation of Glacier Surfaces Using Cartosat-I Stereo Data
Journal of the Indian Society of Remote Sensing ( IF 2.5 ) Pub Date : 2020-09-12 , DOI: 10.1007/s12524-020-01168-7
Akriti Kulshrestha , I. M. Bahuguna , B. P. Rathore , Kannan V. Iyer

Understanding the impact of climatic variations on Himalayan-Karakoram glaciers has now become a necessity for planning water resources of Indus-Ganga–Brahmaputra basins. One of the most important parameters to assess this is the mass balance of glaciers. Besides ground-based studies of mass balance, differencing of Digital Elevation Models (DEMs) is now commonly employed for estimating the long-term changes for this purpose. Before applying this approach, it is necessary to evaluate the accuracy of elevation changes of glacier surfaces with respect to terrain parameters and the DEMs used. This study demonstrates the factors governing DEM differencing using an example of four glaciers of Zanskar region by comparing DEMs extracted from Cartosat-1 stereo data of ablation season of the years 2005 and 2015. A strong relation has been observed between slope of the terrain and elevation changes between the two DEMs on non-glaciated stable terrain (R2 = 0.8144). The regression equation thus developed has been used to correct elevation changes on glacier surface. Lowering of ablation zone of the four sample glaciers over a period of ten years has been of the order of 3.92, 11.17, 4.99 and 4.39 m. The results obtained by using Cartosat-I DEMs have also been validated using ASTER DEMs of similar time interval.

中文翻译:

使用 Cartosat-I 立体数据解决冰川表面高程变化的 DEM 差分偏差

了解气候变化对喜马拉雅-喀喇昆仑冰川的影响现已成为规划印度河-恒河-雅鲁藏布江盆地水资源的必要条件。评估这一点的最重要参数之一是冰川的质量平衡。除了基于地面的质量平衡研究,数字高程模型 (DEM) 的差分现在通常用于估计为此目的的长期变化。在应用这种方法之前,有必要根据地形参数和所使用的 DEM 评估冰川表面高程变化的准确性。本研究通过比较从 2005 年和 2015 年消融季节的 Cartosat-1 立体数据中提取的 DEM,以 Zanskar 地区的四个冰川为例,证明了影响 DEM 差异的因素。在非冰川稳定地形 (R2 = 0.8144) 上,两个 DEM 之间的地形坡度和高程变化之间存在很强的关系。由此开发的回归方程已被用于校正冰川表面的高程变化。四个样本冰川的消融带在十年内下降了 3.92、11.17、4.99 和 4.39 m。使用 Cartosat-I DEM 获得的结果也已使用类似时间间隔的 ASTER DEM 进行验证。
更新日期:2020-09-12
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