基于无人机影像的华南农业大学不同下垫面地表降温效益研究

The Cooling Amplitude of Different Surface Underlying Surfaces in South China Agricultural University Based on Unmanned Aerial Vehicles Images

摘要:

以华南农业大学校园为研究对象，通过携带热成像传感器的无人机，获取了校园中心区域不同下垫面的热成像图片，分析不同下垫面的日地表温度变化，探讨其地表降温效果的影响因素。结果表明，一天中总体降温幅度从大到小的下垫面依次为水体、林地、乔-灌-草绿地/乔-草绿地、道路、建筑，水体和绿地尤其是林地的地表降温效益显著。林地的周长为0~600 m，面积为0~7 000 m2时，与林地的地表降温幅度呈正相关；林地的周长面积比、景观形状指数、分维数与地表降温幅度呈负相关，林地形状和边缘越简单，形状接近圆形，地表降温效益越好。

Abstract:

Taking the campus of South China Agricultural University as the research object, thermal imaging images of different underlying surfaces in the central area of the campus are obtained through drones carrying thermal imaging sensors. The daily surface temperature changes of different underlying surfaces are analyzed, and the influencing factors of their surface cooling effect are explored. The results indicate that the underlying surface with the overall cooling amplitude from large to small in a day is water body, forest land, tree shrub grass green space/tree grass green space, road, building. Among them, the surface cooling benefits of water body and green space, especially forest land, are significant. When the perimeter of a forest land is between 0~600 m and the area is between 0~7 000 m2, they are positively correlated with the surface cooling amplitude of the forest land. The perimeter area ratio, landscape shape index and fractal dimension of forest land are negatively correlated with the magnitude of surface cooling. The simpler the shape and edge of forest land, the closer the shape is to a circular shape, and the better the surface cooling efficiency.