Skip to main content

Promote the management of locally produced timber and promote the production system.

  • Date of declaration:2024-03-28
  • PI:Bing-Syun Peng
  • Division:Forest Management Division
Research title
Science and Technology Programs(2023)
KeyWord
Light Detection and Ranging, Smart Forestry, Sustainable Forest Management,
執行成果摘要
Use of surveying and mapping tools to improve forest resource survey techniques. During the study, the correlation and accuracy of traditional measurements and automated measurements of various lidar data will be discussed, the efficiency and accuracy of forest behavioral values combined with multi-source point clouds will be compared, and feasibility assessments will be made, and finally utilizing the integrated lidar Image for afforestation resources survey on flat land. The results of this study are expected to help forest owners highlight the importance of investing in science and technology to improve the overall efficiency of forest resource management, increasing understanding of precision by gaining insights into the feasibility and effectiveness of using sophisticated techniques to monitor forest ecosystems, and current knowledge of dynamic forestry topics, implementation of applied technologies and examples of the need to use innovative technologies in forestry.