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Bias corrections of CartoDEM using ICESat-GLAS data in hilly regions

机译：使用ICESat-GLAS数据在丘陵地区对CartoDEM进行偏差校正

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摘要

There are a number of digital elevation models (DEMs) existing worldwide for studying the topography, estimating elevation differences over time and runoff modeling, soil erosion estimation, and so forth, including vertical changes on glaciers. There are various techniques and instruments/sensors used for surface elevation data collection and for monitoring surface changes. Satellite data-based DEMs have been available at global level during the past two decades. Errors and biases may persist in these elevation data-sets. This may be due to limitations of the techniques, sensor instabilities, bad surveying conditions on the ground, and post-processing artifacts. Elevations derived from Geoscience Laser Altimeter System/Ice, Cloud and land Elevation Satellite (GLAS/ICESat) data are one of the most reliable globally available data. The objective of this study is to present a simple and effective method to compute planimetric offsets in the DEM of hilly terrain using GLAS data and perform necessary corrections for improving the elevation accuracy. A slope-based method has been employed for the co-registration of overlapping elevation surfaces for Chandra and Bhaga basins in the Himalaya. Accuracy assessment has been done by computing standard deviation of offsets, which is an indicator of the variability of error distribution. As a result of bias corrections, the standard deviations have decreased from 10.8m to 6.0m and 9.0m to 7.05m for Chandra and Bhaga basins, respectively.
机译：全球范围内存在许多数字高程模型（DEM），用于研究地形，估算随时间变化的高程差和径流模型，土壤侵蚀估算等，包括冰川的垂直变化。有多种技术和仪器/传感器用于表面高程数据收集和监视表面变化。在过去的二十年中，基于卫星数据的DEM已在全球范围内可用。在这些高程数据集中可能仍然存在错误和偏差。这可能是由于技术的局限性，传感器的不稳定性，地面上恶劣的勘测条件以及后处理工件造成的。从地球科学激光高度计系统/冰，云和陆地高程卫星（GLAS / ICESat）数据得出的高程是最可靠的全球可用数据之一。这项研究的目的是提出一种简单有效的方法，利用GLAS数据计算丘陵地形DEM中的平面偏移量，并进行必要的校正以提高高程精度。在喜马拉雅山的钱德拉和巴加盆地，已经采用基于坡度的方法对重叠的高程表面进行共配准。通过计算偏移量的标准偏差来进行准确性评估，这是误差分布变化的指标。作为偏差校正的结果，钱德拉盆地和巴嘎盆地的标准偏差分别从10.8m减小到6.0m，从9.0m减小到7.05m。

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