Measurement of changes in glacier extent in the Rimo glacier, a sub-range of the Karakoram Range, determined from Landsat imagery
Measurement of changes in glacier extent in the Rimo glacier, a sub-range of the Karakoram Range, determined from Landsat imagery
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DOI：
10.1016/j.jksuci.2013.08.001
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发表时间：
2014
期刊：
影响因子：
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通讯作者：
Prashant Kumar;A. Bhondekar;P. Kapur
中科院分区：
文献类型：
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作者：
Prashant Kumar;A. Bhondekar;P. Kapur
地表时空动态的准确估计对于自然资源规划是非常重要的。本文讨论了一种新的方法来研究位于35°21‘21“N77°22’05”E的Rimo冰川的表面模式，该冰川位于锡亚琛口东北约20公里处。由于在气候变化、遥感等各个学科中的大量应用，在不同时间间隔拍摄的同一位置的多幅图像中的变化检测具有广泛的应用。该技术利用图像处理技术得到选定冰川段的回归模型，然后用这些模型来测量曲线下的面积，以估计冰川的表面积变化。由此得到的表面积变化也用标准的像素计数方法进行了验证。随着全球变暖的加剧，利用统计分析估算了1998至2011年间有关冰川表面积的净变化。结果表明，与标准的像素计数方法相比，该方法具有相当的准确度。我们还讨论了在从具有相当平均分辨率的大型卫星图像中提取最终关注区域所使用的重要的预处理方法。
Accurate estimation of the spatiotemporal surface dynamics is very important for natural resource planning. This paper discusses a novel approach for the study of the surface patterns of a particular glacier Rimo located at 35°21′21″N77°22′05″E, about 20 km northeast of the snout of Siachen. Change detection in multiple images of the same location taken at different time intervals are of widely circulated use due to a large number of applications in various disciplines such as climate change, remote sensing and so on. The proposed technique uses image processing to derive regression models of selected glacier segments, these models are then used to measure area under the curve to estimate the surface area changes of the glacier. The surface area changes thus obtained have also been validated by standard method of pixel counting. With the rise in the global warming, the net change in the surface area of the concerned glacier is estimated using statistical analysis from 1998 to 2011. The results obtained show a fair degree of accuracy as compared to the standard method of pixel counting. We also discuss important pre-processing methods used in extracting the final concerned region of interest from a large satellite imagery of fairly average resolution.