College of Urban and Environmental Science, Northwest University, Xi'an, 710127, P.R. China.
Shaanxi Key Laboratory of Earth Surface System and Environmental Carrying Capacity, Northwest University, Xi'an, 710127, P.R. China.
Sci Data. 2023 Jun 7;10(1):365. doi: 10.1038/s41597-023-02285-x.
Small lakes (areas between 0.01 km and 1 km) on the Qinghai-Tibet Plateau (QTP) are prone to fluctuations in number and area, with serious implications for the surface water storage and water and carbon cycles of this fragile environment. However, there are no detailed long-term datasets of the small lakes of the QTP. Therefore, the intra-annual changes of small lakes in the Qilian Mountains region (QMR) in the northeastern part of the QTP were investigated. The small lake water bodies (SLWB) in the QMR were extracted by improving existing commonly used waterbody extraction algorithms. Using the Google Earth Engine platform and 13,297 Landsat TM/ETM + /OLI images, the SLWB of the QMR were extracted from 1987 to 2020 applying the improved algorithm, cross-validation and manual corrections. The reliability, uncertainty and limitations of the improved algorithm were discussed. An intra-annual small lake dataset for QMR (QMR-SLD) from 1987 to 2020 was released, containing eight attributes: code, perimeter (km), area (km), latitude and longitude, elevation (m), area error, relative error (%), and subregion.
青藏高原上的小湖泊（面积在 0.01 至 1 平方千米之间）数量和面积容易波动，这对该脆弱环境的地表水储量以及水和碳循环有严重影响。然而，青藏高原上的小湖泊并没有详细的长期数据集。因此，研究了青藏高原东北部祁连山区的小湖泊年内变化情况。通过改进现有的常用水体提取算法，提取了祁连山区小湖水体（SLWB）。利用谷歌地球引擎平台和 13,297 景 Landsat TM/ETM+/OLI 图像，应用改进的算法、交叉验证和手动校正，从 1987 年到 2020 年提取了祁连山区的 SLWB。讨论了改进算法的可靠性、不确定性和局限性。发布了 1987 年至 2020 年祁连山区小湖泊数据集（QMR-SLD），其中包含 8 个属性：代码、周长（km）、面积（km）、纬度和经度、海拔（m）、面积误差、相对误差（%）和分区。
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