黑河流域地表过程综合观测网（大满超级站叶面积指数-2024）

该数据集包含了2024年6月7日至2024年9月2日的黑河水文气象观测网中游大满超级站叶面积指数观测数据。站点（100.376° E，38.853° N）位于甘肃省张掖市大满灌区内，海拔1556m，下垫面是玉米。观测样方共计4个，每个样方大小约30m×30m，经纬度分别为（100.374°E，38.855°N）、（100.371° E，38.854°N）、（100.369°E，38.854°N）。每个样方内布设4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5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，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 Daman Super Station in the middle reaches of the Heihe River Hydrometeorological Observation Network, covering the period from June 7 to September 2, 2024. The station, located at (100.376° E, 38.853° N), sits in the Daman Irrigation District, Zhangye City, Gansu Province, with an altitude of 1556 m and maize as its underlying surface. A total of 4 observation quadrats were deployed, each with an approximate size of 30 m × 30 m. Their geographic coordinates are (100.374° E, 38.855° N), (100.371° E, 38.854° N), and (100.369° E, 38.854° N) respectively. Within each quadrat, 4 under-canopy nodes and 1 above-canopy node are installed. This dataset is collected using the Leaf Area Index Wireless Sensor Network (LAINet). The original raw observation data (Level 0) are hourly light data automatically acquired by each node. The LAINet software is employed to process the raw data: first, daily LAI is calculated for each node to generate Level 1 data; then, invalid values are identified and filled, and a 5-day moving average is applied to mitigate the influence of weather variability on LAI calculations, producing Level 2 data; for observation sub-areas with multiple LAINet nodes, the mean value of all nodes in the sub-area is used as the final observation value, resulting in Level 3 data. The dataset released herein is the processed Level 3 product, stored in the *.xls file format. For details of the Heihe River Basin Comprehensive Observation Network for Surface Processes or the stations, please refer to Liu et al. (2018) and Liu et al. (2023).

搜集汇总

背景与挑战

背景概述

该数据集包含2024年黑河流域大满超级站的叶面积指数观测数据，通过无线传感网获取并经过多级处理，覆盖4个玉米田观测样方，数据以Excel格式存储。