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Virginia Commonwealth UniversityVCU Scholars Compass
Capstone Design Expo Posters College of Engineering
2016
Tree Canopy Analysis: Improving Forest and TreeHealth through Aerial Spectral MeasurementYaw AmoatinVirginia Commonwealth University
Adam HrycykVirginia Commonwealth University
Alex YoonVirginia Commonwealth University
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Part of the Electrical and Computer Engineering Commons
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This Poster is brought to you for free and open access by the College of Engineering at VCU Scholars Compass. It has been accepted for inclusion inCapstone Design Expo Posters by an authorized administrator of VCU Scholars Compass. For more information, please contact libcompass@vcu.edu.
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Tree Canopy AnalysisImproving Forest and Tree Health through
Aerial Spectral Measurement
Team Members: Yaw Amoatin,
Adam Hrycyk, Alex Yoon
Faculty Adviser:
Dr. Carl Elks
Sponsor:
Enrichmond
Sponsor Mentor:
Mr. John Sydnor
Synopsis System Design
Conclusion
50% of trees planted each year in the city suffer from
drought distress and varying diseases resulting in premature
mortality.
Lost return on investment, additional manpower to remove
dead trees.
Desire for a more comprehensive solution to city tree
monitoring.
Enhance “Big Data” collection of urban tree health.
Unmanned Aerial System
(UAS) provides a cost effective
platform for large area forest
surveillance.
UAS + GoPro camera +
Modified lens + Software
analysis.
Photo map produced with
adjusted pixel values according
to software analysis.
High photosynthetic activity
zones marked in red and low
to nonexistent zones marked
in blue to purple.
Output log records photo
levels of low activity for further
inspection.
Technical Approach
This system will provide a streamlined, effective method
of tree monitoring to help improve overall tree health and
diversity as well as quality of life for residents and visitors.
It enables early detection of tree distress.
Blue NDVI =NIR−Blue
NIR+Blue
Modified camera lens is equipped with a red-visible
spectrum bandstop filter and a Near-Infrared (NIR)
bandpass filter.
Normalized Difference Vegetation Index (NDVI) equation
modified to take NIR and Blue pixel values as function
variables.
Resulting value from -1 (Unhealthy) to 1 (Healthy) with 0
indicating lack of vegetation.
Future
Possible system integration with quadcopter Ground
Control Station software for waypoint navigation.
Subsequent waypoint navigation integration with software
analysis for GPS logging.
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