Key Laboratory of Cryospheric Science and Frozen Soil Engineering, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, 730000, China.
Faculty of Geomatics, Lanzhou Jiaotong University, Lanzhou, 730000, China.
Sci Data. 2024 Apr 17;11(1):394. doi: 10.1038/s41597-024-03214-2.
Understanding elevation changes on the Tibetan Plateau is crucial to comprehend the changes in topography, landscape, climate, environmental conditions, and water resources. However, some of the current products that track elevation changes only cover specific surface types or limited areas, and others have low spatial resolution. We propose an algorithm to extract ICESat-2 crossover points dataset for the Tibetan Plateau, and form a dataset. The crossover points dataset has a density of 2.015 groups/km², and each group of crossover points indicates the amount of change in elevation before and after a period of time over an area of approximately 17 meters in diameter. Comparing ICESat-2 crossover points data with existing studies on glaciers and lakes, we demonstrated the reliability of the derived elevation changes. The ICESat-2 crossover points provide a refined data source for understanding high-spatial-resolution elevation changes on the Tibetan Plateau. This dataset can provide validation data for various studies that require high-precision or high-resolution elevation change data on the Tibetan Plateau.
理解青藏高原的海拔变化对于理解地形、地貌、气候、环境条件和水资源变化至关重要。然而，目前一些跟踪海拔变化的产品仅覆盖特定的地表类型或有限的区域，而其他产品的空间分辨率较低。我们提出了一种从ICESat-2 交叉点数据中提取青藏高原数据集的算法，并形成了一个数据集。该交叉点数据集的密度为 2.015 组/km²，每个交叉点组表示在一段时间内一个直径约 17 米的区域的海拔变化量。通过将 ICESat-2 交叉点数据与现有的冰川和湖泊研究进行比较，我们验证了所得到的海拔变化的可靠性。ICESat-2 交叉点为了解青藏高原的高空间分辨率海拔变化提供了一个精细化的数据来源。该数据集可以为各种需要青藏高原高精度或高分辨率海拔变化数据的研究提供验证数据。
