Emerald Ash Borer Identification using Drones
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The document outlines a proof-of-concept project focused on using a multispectral camera for the early identification of emerald ash borer infestations in Denver. Key goals include developing algorithms for monitoring tree health and creating automated procedures for future projects. Participants involved various experts and organizations, underscoring the importance of accurate data collection and analysis in combating this pest.
Emerald Ash Borer Identification using Drones
- 1. Emerald Ash Borer Identification Rocky Mountain UAS Meetup - 16 August 2017 Tim Haynie thaynie@spectrabotics.com Loren Anderson landerson@spectrabotics.com Dan Staley dan@arbordrone.net Rocky Mountain UAS Professionals August 16, 2017 ESRI Broomfield, CO
- 2. Background • Proof-of-concept project for City/County of Denver • Remote sensing using multispectral camera to identify Emerald Ash Borer (EAB) infestation Rocky Mountain UAS Meetup - 16 August 2017
- 3. Goals • Early identification and monitoring of Emerald Ash Borer infestation • Develop algorithms and classifications quantifying stress levels and identifying tree species, moving towards automation of processes • Develop replicable procedures/analysis for business offering and adaptation for future projects Rocky Mountain UAS Meetup - 16 August 2017
- 4. Participants • SME: Dan Staley, Arbor Drone (PIC) • Collection: Darren Ceckanowicz, Colorado College & Tim Haynie, Spectrabotics • Data Processing: Spectrabotics Rocky Mountain UAS Meetup - 16 August 2017
- 5. Project Design • Fly parks, Rights of Way in City/County of Denver to obtain sample of tree species (including ash) • Obtain imagery of EAB-infested trees in Boulder • Micasense RedEdge sensor carried by custom octocopters • Choose Vegetation Indices (VIs) to best identify early infestation • Spectral classification & statistical analysis for tree species Rocky Mountain UAS Meetup - 16 August 2017
- 6. Aircraft & Equipment Rocky Mountain UAS Meetup - 16 August 2017 Darren Ceckanowitz (Colo College) and custom octocopter Tim Haynie (Spectrabotics) and custom octocopter “The Tractor”
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- 8. Rocky Mountain UAS Meetup - 16 August 2017 Plant Physiology and Early Detection
- 9. Early Detection Criteria • Consider tree physiology and reaction to manipulate reflectance values in useful analysis • Vegetative Indices (Band Math) • Looking for clues in chlorophyll, anthocyanin, & carotene for early detection Rocky Mountain UAS Meetup - 16 August 2017
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- 14. Takeaways • This is not your typical mapping or NDVI application • Correlating imagery with known objects (trees) on the ground • Appropriate sensors required • Appropriate collection processes (calibrated data) • Science is well known – Application of the science less so Rocky Mountain UAS Meetup - 16 August 2017
- 15. Data Collector Data Processing & Dissemination Industry Specialist/ Subject Matter Expert + Raw Data + Presentation - Solution for an Unknown Problem? + Analysis + Presentation - Questionable Collection? + Raw Data + Partial Analysis - Fusion/ Dissemination? Rocky Mountain UAS Meetup - 16 August 2017
- 16. Tim Haynie Founder – CEO thaynie@spectrabotics.com www.spectrabotics.com Loren Anderson CTO landerson@spectrabotics.com Rocky Mountain UAS Meetup - 16 August 2017 Dan Staley Principal dan@arbordrone.net https://arbordrone.net/