Boise State Researchers Used Drones to Track Rangelands
A new study reveals how drone imagery and machine learning help land managers monitor vegetation and invasive species.
Updated on Oct. 1, 2026 in Botany
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Should drone technology be used to monitor and restore vegetation in your local area?
Boise State University researchers have developed a method using drones and machine learning to identify plant species across vast landscapes. The project aims to assist land managers with restoration efforts as wildfire frequency rises.
Why it matters
With the amount of burned rangeland doubling over the past 20 years, precise vegetation monitoring is essential for effective restoration. This new technology provides a scalable tool to track plant life cycles and manage land conservation.
The study utilized drones equipped with sensors to categorize plant life, finding that standard red, green, and blue cameras perform comparably to high-end, expensive hardware. Researchers successfully identified small plants like cheatgrass using these machine learning algorithms.
The players
Boise State University
This public research university in Idaho is the institution where the lead research team developed the new rangeland monitoring technology.
University of New Mexico
This public research university partnered with Boise State to expand the scope of the rangeland vegetation study to additional ecosystems.
The details
Researchers capture landscape imagery via drones, which is then processed through machine learning algorithms to identify specific species across large areas. The team partnered with the University of New Mexico to ensure the tools can be applied to diverse ecosystems throughout the American West.
Timeline
The amount of burned rangeland has doubled over the past 20 years.
The research findings were recently published in the journal Remote Sensing.
The Big Picture
This study shifts the paradigm of rangeland management by proving that accessible, affordable drone hardware can achieve results once limited to high-end sensors. It advances the integration of remote sensing and machine learning, unlocking new capabilities for large-scale ecological monitoring.
The methodology developed by the researchers is available online, including software instructions that could be utilized by private landowners or conservation groups. These tools may lead to more effective, lower-cost restoration projects in fire-prone regions across the Western United States.
The takeaway
The use of accessible drone technology allows for precise, large-scale vegetation tracking that was previously cost-prohibitive. Land managers can leverage these open-source tools to make more informed decisions regarding the conservation of fire-damaged rangelands.
Further reading
Learn more about the latest developments in Botany research on our dedicated page.
Source note: This article includes information reported by KBOI.
Live Poll
Should drone technology be used to monitor and restore vegetation in your local area?
