Simple and effective tool for estimating tree trunk diameters and tree species classification.

Area of Science:

• Forestry
• Urban Ecology
• Computer Vision

Background:

• Accurate tree inventory is crucial for urban and forest management.
• Manual measurement of tree diameter and species identification is time-consuming and labor-intensive.

Purpose of the Study:

• To develop an automated tool for estimating tree trunk diameter and determining tree species.
• To create a user-friendly graphical interface for efficient tree analysis.

Main Methods:

• Utilized stereo images for automatic tree trunk detection.
• Implemented algorithms for diameter estimation and species determination.
• Developed a graphical user interface (GUI) for real-time assessment.

Main Results:

• The automated tool successfully detects tree trunks from stereo images.
• Accurate estimation of tree trunk diameters was achieved.
• Tree species were reliably determined through the developed system.
• The GUI allows for rapid and precise measurements while walking.

Conclusions:

• The developed automated system significantly reduces the time and effort required for tree parameter assessment.
• This technology offers a promising solution for efficient urban and forest tree inventory and analysis.