Automated Tree Inventory with Photogrammetry

Researchers are working to speed up automated tree measurement, using low-cost Optical Gauging System (LOGS) with stereo cameras and matching learning.


Principal Investigators

  • Guofan Shao, Professor, Forestry & Natural Resources, Purdue University
  • Keith Woete, Adjunct Assistant Professor, Forestry & Natural Resources, Purdue University
  • Yung-Hsiang Lu, Professor, School of Electrical and Computer Engineering, Purdue University


The long-term goal of this project is to develop a Low-cost Optical Gauging System (LOGS) for efficient forest inventory and data management.

  • Develop and demonstrate a portable device capable of real-time tree measurements of tree diameters at regular height intervals. Although the data processing of terrestrial stereoscopic photogrammetry is muchfaster than for the popular SfM photogrammetry, it cannot yet provide “real time” output, which we consider essential.
  • Develop an algorithm to automatically locate (in a GIS framework) individual trees to avoid redundant tree measurements or skipped measurements on the ground. This functionality will also be helpful to take multiple measurements and obtain mean values for each tree, improving the accuracy of tree measurements.
  • Demonstrate the integrated system with a broad range of plantations and selected natural forest stands in Indiana. The system will be evaluated for use in a range of tree species and forest types.

Forestry and Natural Resources, 715 West State Street, West Lafayette, IN 47907-2061 USA, (765) 494-3590

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