Spatial distribution of forest biomass 1m resolution in Tianlaochi watershed (1961-2010)

The sample plot survey data are as follows: in August 2013, 30 forest sample plots were set up in tianlaochi basin, with the sample plot specification of 10 m×20 m, and the long side of the sample plot was parallel to the slope direction, including 26 Qinghai spruce forests, 2 Qilian yuanberlin forests and 2 spruce-cypress mixed forests. within the sample plot, the diameter at breast height (diameter at trunk height of 1.3 m) of each tree was measured by using a ruler. Using hand-held ultrasonic altimeter to measure the tree height and the height under branches (the height of the first living branch at the lower end of the crown) of each tree, measuring the crown width in the north-south direction and the east-west direction by using a tape scale, and positioning the sample plot by using differential GPS. Taking the carbon storage data of the sample plot as the optimal control condition, using Kriging interpolation to obtain the biomass spatial distribution map driving field, using HASM algorithm to simulate the forest biomass spatial distribution map of the waterlogging pool, the simulation results conform to the vegetation distribution law of the study area, and obtain better effects. Resolution 1m

本数据集的样本图调查数据如下：2013年8月，在天老池流域设立了30个森林样地，样地规格为10米×20米，样地长边与坡向平行，其中包含26个青海云杉林、2个祁连圆柏林和2个针叶-柏木混交林。在样地内，使用直尺测量每棵树的胸径（胸高1.3米处的直径）。利用手持式超声波测距仪测量每棵树的高度及冠下高（树冠顶部第一活枝在树冠基部的下端高度），通过皮尺在南北方向和东西方向测量树冠宽度，并利用差分GPS定位样地。以样地的碳储存数据作为最优控制条件，运用克里金插值法获取驱动生物量空间分布图的场，采用HASM算法模拟水渍池的森林生物量空间分布图，模拟结果符合研究区域的植被分布规律，并取得了较好的效果。分辨率：1米。