Signal Tree Labs
Signal Tree Labs

Signal Tree labs

Signal Tree labsSignal Tree labsSignal Tree labsSignal Tree labs

Leading decision support services for land managers

Get Started Today

Signal Tree labs

Signal Tree labsSignal Tree labsSignal Tree labsSignal Tree labs

Leading decision support services for land managers

Get Started Today

About Signal Tree Labs

Problem

Land and resource managers face complex trade-offs when deciding where to harvest, where to restore, and what to monitor. They lack a decision framework available at the time, speed, and scale of their decisions that accounts for physical constraints, ecological value, climate risk, and cost simultaneously.

Services

We help you decide "where" and "when" using structured decision-making, spatial analysis, GIS, remote sensing, and data science to integrate physical constraints, ecological value, climate risk, and cost into a single decision support system. We build custom tools and processing pipelines tailored to your specific datasets and ground conditions. We help you design monitoring plans that are integral to your adaptive management strategy from day one.

Experience

We have more than 10 years of experience in research and federal land management industries building models, developing decision support tools, and implementing monitoring plans 

Who We Are

Founder: Jonathan D. Burnett, PhD

I founded Signal Tree Labs to translate research into actionable decision support for land and resource managers facing complex management decisions. I hold a Ph.D. in Sustainable Forest Management from Oregon State University and bring 8+ years of post-doctoral research experience developing spatial analysis, remote sensing, and decision support systems for federal agencies and research institutions. 


My work has focused on landscape modeling, climate vulnerability assessment, and monitoring design across aquatic and terrestrial ecosystems in the Pacific Northwest. At the USDA Forest Service Pacific Northwest Research Station, I led projects on streamflow permanence prediction, riparian restoration prioritization, and novel remote sensing methods for monitoring. I am a Courtesy Professor at Oregon State University and have taught courses on GIS and unmanned aircraft systems applications in natural resources management. 


My research has been published in Water Resources Research, Scientific Reports, Remote Sensing, and other peer-reviewed journals, and my work has informed management decisions for the U.S. Bureau of Land Management and Oregon state agencies. My expertise spans spatial analysis, machine learning, cloud computing, and decision support system design.


Previous projects with which I have had association:


  • WOWTDR
  • RAEVEN
  • RAEVEN Bayes Net for Restoration
  • UPRLIMET



Google Scholar Profile / Key Publications:

  • Burnett, J.D., et al. (2025). A streamflow permanence classification model for forested streams... Water Resources Research — demonstrates decision support and uncertainty quantification.
  • Penaluna, B., Burnett, J.D., et al. (2022). UPRLIMET: UPstream Regional LiDAR Model... Scientific Reports —shows spatial modeling and predictive systems.
  • Burnett, J.D., & Brendecke, W. (2020). Post-variable density treatment monitoring in dry site mixed coniferstands using unmanned aircraft systems... The 2019 National Silviculture Workshop — demonstratesmonitoring design and remote sensing applications.
  • Hinshaw, S., Wohl, E., Burnett, J.D., et al. (2022). Monitoring Strategy for Stage 0 Restoration... Earth and Planetary Science Letters — directly relevant to monitoring design for adaptive management.



Contact Us

Contact us to setup a consult today!

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Signal Tree Labs

Oregon-based Veteran Owned Small Business


Email: jonathan.burnett@signaltreelabs.com

Phone: 458-329-6117

Copyright © 2026 Signal Tree Labs - All Rights Reserved.

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