【摘要】 本文以新疆乌鲁木齐县为研究区,利用无人机对降雪后的云杉林进行快速成像并利用最大似然法对不同角度下的无人机影像进行云杉降雪截留面积提取,提取精度达到95.7%.通过成像距离和不同距离投影面积拟合曲线,并借助拟合方程和几何数学原理计算出了三组云杉表面积和树冠截留雪的实际面积,分别为24.69 m~2、36.67 m~2和27.05 m~2,雪盖面积在表面积中所占的比例为42.5%、50.5%和79%.最终利用本团队通过模拟降雪的方式得出的云杉树苗雪盖面积和树冠截留雪水当量二者之间的关系,计算得出三组单株云杉树冠截留雪水当量,分别为2.324 L、7.267 L和9.683 L.此实验对快速估算云杉降雪截留面积及天山云杉冠层降雪截留雪水当量研究提供了地面数据支撑和资料补充,有效地提高了无人机影像在树冠降雪截留面积估算中的应用效率.更多还原

【Abstract】 Urumqi county in Xinjiang was taken as the study area in this paper, by using drones to quickly image the spruce forest after snowfall and the maximum likelihood method to extract the spruce snow interception area from drone images at different angles, then the extraction accuracy reaches 95.7%. Through imaging distances and fitting curve of projection area with different distances, and with the help of fitting equations and geometric mathematical principles, three groups of spruce surface area and the actual area of snow intercepted by the canopy were calculated, which were 24.69 m~2, 36.67 m~2 and 27.05 m~2, respectively. The proportion of snow cover area in the surface area were 42.5%, 50.5% and 79%, respectively. Finally, using the relationship between the snow cover area of spruce saplings and the canopy intercepted snow water equivalent obtained by our team through simulating snowfall, calculated the intercepted snow melt volume of three groups of individual plants were 2.324 L, 7.267 L and 9.683 L, respectively. This experiment provides ground data support and data supplement for the rapid estimation of spruce snow interception area estimation and Picea schrenkiana canopy snow interception research,which effectively improves the application efficiency of UAV images in the estimation of canopy snow interception area.更多还原