本数据集为全球高精度高程控制点数据集，包含各个高程控制点地理定位，高程，采集时间等信息。 从卫星激光测高数据中提取的激光足印高程的精度受到许多因素的影响，如大气、有效载荷仪器噪声、激光足迹中的地形起伏等，导致精度不确定。该数据集通过评估标签和测距误差模型所构建的筛选准则对ICESat卫星从2003年到2009年的测高观测数据进行筛选提取，以期地形测图或依赖良好高程信息的其他科学领域提供高精度的全球高程控制点。经验证，平地（坡度<2°）、丘陵（2°≤坡度<6°）、山地（6°≤坡度<25°）区域的高程精度分别满足0.5m、1.5m、3m的精度要求。
谢欢, 李彬彬, 童小华, 唐鸿, 刘世杰, 金雁敏, 王超, 叶真, 陈鹏, 许雄, 柳思聪, 冯永玖
本数据为祁连山地区2020年地表水体（包括液态水、冰川及多年积雪）分布产品。采用经典归一化水体指数法（Normalized Difference Water Index , NDWI）和人工修正的方法提取。原始基础数据为2020年祁连山全境的Landsat影像。参考数据为谷歌影像和哨兵2号影像。产品以shp文件格式存储，包含坐标系、水体面积等属性。产品为1期，时间分辨率为1年，空间分辨率为30米，边界精度在30米（一个像元）左右。该产品直观地反映了祁连山水体在2020年的大致分布，可用于流域水资源定量估计研究。
李佳, 李建江, 李新, 刘绍民
The Water body dataset for the North American high latitudes(WBD-NAHL) data is important for hydrology research, matter and energy cycle research. The inland water inventory included water bodies of tundra and boreal forest in North America. The water extent was extracted from Sentinel-2 A/B multi-spectral with assistant of JRC yearly permanent water. Both water index and random forest methods were used to detect water. The water index extracted the loose water extent. Random forest extracted the more accurate water extent. And area, perimeter and shape index (SI) were provided in this dataset. The overall accuracy is 98%. It was established that about 6.5 million water bodies presented in tundra and boreal forest in North America, among witch 6 million small water bodies less than 0.1 km2 (90% of total water bodies) were included. And the inventory covered 801,445 km2 inland water, the average size, perimeter and SI of which were 0.12 km2, 1.01 km and 1.43.
冯敏, Yijie Sui
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