城市行道树健康调查空间化方法研究OA

To address the limitation that traditional manual inspection data for urban avenue tree health surveys lacked spatial representation and were difficult to support spatial analysis,we proposed a spatial data construction method for linear road environments.The method took individual trees as the basic unit and organized survey data through standardized image acquisition and an automatic grouping strategy.A tree positioning approach without GPS recording was further developed based on linear referencing and lateral offset along road centerlines.On the basis of this,a tree-level spatial database for urban avenues was constructed,and GIS-based methods were applied for health risk classification and spatial distribution analysis.We used survey data from multiple urban avenues in Shanghai City to validate this method.Results indicate that the proposed method enables the spatialization of survey data without the need for tree-by-tree positioning devices,providing effective data support for fine-scale urban avenue management and risk assessment.