earticle

영어

The present time is fraught with serious environmental problems, such as climate change and increasing air pollutants, which urban greenspaces can remedy through carbon uptake, air purification, temperature reduction, biodiversity enhancement, and energy saving. Specifically, the tree planting structure has the greatest direct influence on urban greenspace function. This structure includes tree planting density, size, species, and vertical structure. However, information on the tree planting structure is scarce because of the diversity of urban greenspace and the heavy investments in manpower and finances required to survey it. Therefore, this study reviewed the recent literature on how to investigate the tree planting structure of urban greenspaces. Previous studies have primarily used field surveys, LiDAR measurements, and aerial photo analysis to examine the planting structure of greenspaces. Field surveys are conducted by humans and can provide accurate information on tree species, crown width, and tree height, but they are very labor-intensive and time-consuming. While LiDAR requires less manpower and time than field surveys to capture a greenspace, the process of stitching the images and obtaining tree dimension information is laborious. In contrast, although aerial photo analysis is advantageous for measuring crown width based on existing data, it is limited by the difficulty of identifying vertical structures and the fact that dimensions such as height and diameter can only be inferred through indirect methods. Based on these findings, this study explored efficient tree planting structure survey methods.