Identification of tree species based on UAV captured images

Dr H Wei
Prof J Ferryman
Dr F Stahl
Dr G DiFatta
Applications accepted all year round
Self-Funded PhD Students Only

Department of Computer Science, University of Reading

About This PhD Project

Project Description
Funding Notes
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Project Description

Computer Computer vision technology has been found to be an important application in remotely sensed data understanding. This research exploits high‐resolution images captured by UAV payload cameras to identify tree species. It focuses on recovery of tree canopy profiles and further tree leaf shape in association with height information in tree species identification. Potential applications of the research cover forest‐monitoring for eco‐system analysis, forest growth modelling and fire risk assessment. The results of the research can also be used for city planning and forest management. Detecting drug plants from remotely sensed data may also fall in the application area.

Funding Notes

There is no funding associated with the PhD study. However applicants are encouraged to apply for funding from any funding bodies.

First degree in computer science, physics, engineering, and mathematics with 2:1 or abov. MSc degree in the relevant subject areas is desired.

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Identification of tree species based on UAV captured images

University of Reading

Department of Computer Science