黑河流域地表过程综合观测网：四道桥超级站叶面积指数-2023

该数据集包含了2023年8月8日至2023年10月31日的黑河水文气象观测网下游四道桥超级站叶面积指数观测数据。站点位于内蒙古额济纳旗四道桥，海拔870 m，下垫面是柽柳。观测在四道桥超级站（101.1374E, 42.0012N）旁开展，样方1个，大小约30m×30m，每个样方内布设5个冠层下节点和1个冠层上节点。
本数据集由叶面积指数无线传感网（LAINet）获取，该仪器原始观测数据为仪器自动获取的每个节点逐日逐小时的光照数据（Level0），利用LAINet软件对原始观测数据进行处理，逐节点计算每天LAI（Level1），进一步对无效值识别与填充，并7天滑动平均消除天气变化对LAI计算的影响（Level2），对有多个LAINet节点的观测子区，节点的均值为该子区的最终观测值（Level3）。
本次发布的数据集为处理后的Level3产品，包括5个样方的LAI均值及其标准差SD，数据以*.xls格式存储。
黑河流域地表过程综合观测网或站点信息请参考Liu et al. (2018)和Liu et al. (2023)。

This dataset contains Leaf Area Index (LAI) observation data from the Sidaoqiao Super Station in the lower reach of the Heihe Hydrometeorological Observation Network, covering the period from August 8 to October 31, 2023. The station is located at Sidaoqiao, Ejina Banner, Inner Mongolia, with an altitude of 870 m, and the underlying surface is Tamarix. Observations were conducted adjacent to the Sidaoqiao Super Station (101.1374°E, 42.0012°N). One sample plot with an area of approximately 30 m × 30 m was established, within which 5 under-canopy nodes and 1 above-canopy node were deployed.
This dataset was collected using the Leaf Area Index Wireless Sensor Network (LAINet). The raw observation data from the instrument are the daily and hourly irradiance data automatically collected by each node (Level 0). The LAINet software was employed to process the raw data: daily LAI was calculated for each individual node (Level 1), followed by invalid value identification and gap-filling, and a 7-day moving average was applied to mitigate the influence of weather variability on LAI calculations (Level 2). For observation sub-areas with multiple LAINet nodes, the average value of all nodes was taken as the final observation result of the sub-area (Level 3).
The dataset released herein is the processed Level 3 product, which includes the mean LAI and its standard deviation (SD) of the 5 sample plots, and the data are stored in *.xls format.
For information regarding the Heihe Watershed Integrated Surface Process Observation Network or individual stations, please refer to Liu et al. (2018) and Liu et al. (2023).