Arboriculture & Urban Forestry 48(2): March 2022 Arboriculture & Urban Forestry 2022. 48(2):49–59 https://doi.org/10.48044/jauf.2022.005 URBAN FORESTRY ARBORICULTURE Scientific Journal of the International Society of Arboriculture & Intelligent Survey Technologies and Applications for Urban Forests in Taiwan By Jan-Chang Chen, Chun-Hung Wei, Yi-Ta Hsieh, Shang-Chuan Huang, and Ping-Hsun Peng Abstract. Background: Roadside trees play an important role in urban landscaping. They are not only related to urban scenes, traffic safety, quality of life, and health, but also closely related to ecology and cultural development. Thus, effective, intelligent management of an area of urban roadside trees will become an important topic. Methods: This paper evaluates survey technologies and management techniques utilized in many cities of Taiwan, including surveys of roadside trees, risk assessment, and precious protected trees. A roadside tree management data- base was built using a geographic information system (GIS). Results: The number of urban forest trees exceeded 100,000 in our surveys, and many types of intelligent survey instruments were used to survey the trees, including real-time kinematic (RTK) and non-destructive detection instruments, radio frequency identification (RFID), in-vehicle light detection and ranging (LiDAR), and panoramic streetscape systems. A tree management system can be constructed by introducing the digitized information, which is based on a basic survey of trees. The survey stage primarily relies on manual surveys, in-vehicle LiDAR, and RFID, and then a visualized database retrieval system will be proposed using GIS. This system can be utilized for the health and foundation management of trees and the whole spatial planning of urban forests, among others. Conclusion: This research attempts to summarize the trends in intelligent management of urban forests using our practical experiences with the goal that it will be a reference for the future intelligent construction of urban forests. Keywords. Geographic Information System (GIS); In-Vehicle Light Detection and Ranging (LiDAR); Non-Destructive Detection Instru- ments; Urban Forest; Urban Scenes. 49 CONTENTS AND METHODS OF THE URBAN FOREST SURVEY Urban forests contain many types of trees that sur- round a city. These trees have many ecological survey functions, including modulation of the climate, con- servation of energy, reduction in emissions, purifica- tion of the air, and beautification of the environment, among others. These trees can improve the surround- ing environment of a city and the health of its resi- dents, and serve as a crucial green infrastructure of a city. In addition, the ability of urban forests to improve the ecology of the environment, particularly by plant- ings and the growth of an environment, among oth- ers, can provide a good environment for urban trees. The following monitoring and maintenance will ensure the healthy condition of urban trees and enable them to act as optimized ecosystem services (Blum 2016). When investigating urban forests, the tools to detect tree decay can only function effectively in detecting risks that are hidden inside or outside of the tree if the instrument function matches the expected results. In this study, considering various technical and instru- mentation constraints, e.g., the cost of time and the accuracy of detection, a tree detection framework was planned to detect tree decay, and the tool to detect the decay of trees can be used in sequence based on its measurement speed, resolution, and accuracy. 1. Vehicle-mounted LiDAR for the comprehen- sive acquisition of urban forest data 2. Rapid screening with a visual appearance assessment to distinguish high-risk trees from low-risk ones 3. High-precision assessment with a digital diag- nostic tool to assess the decay of trees ©2022 International Society of Arboriculture
March 2022
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