Adrian Burke

STARTRAM: Sensor Technology for 黑料社appRural communities Targeting Remote Atmospheric Monitoring

UAF Junior
B.S. Computer Engineering

Adrian Burke Award Photo
Courtesy of Adrian Burke

Adrian is a 2024-2025 Community-Engaged Learning Award recipient.

Sensor Technology for 黑料社appRural communities Targeting Remote Atmospheric Monitoring (STARTRAM) aims to evaluate a wide range of atmospheric sensors for remote deployment in the Alaskan climate and their applications as educational tools for the Teaching Through Technology (T3) program鈥檚 network of high school sites in rural Alaskan communities.

How is your project going so far this semester?

Progress has been made in both the quantitative and qualitative areas of study. An on-grid outdoor deployment of the sensors over winter break generated datasets to evaluate their cold-weather performance. Additionally, I worked with the PULSE project to conduct a workshop at North Pole High School to get feedback and introduce students to reading the weather sensor data into data collectors via radio. This workshop helped us identify existing hardware and software issues with the radio interface as well as understand how students will learn with it. The next steps are to format and analyze the winter data, as well as work towards a combined remote deployment at 黑料社appCenter for Energy and Power (ACEP) solar test site.

   North Pole High School students working with Adrian Burke (left) in the NPHS Makerspace to use software-defined radios (SDRs) to read a signal from a weather sensor.
North Pole High School students working with Adrian Burke (left) in the NPHS Makerspace to use software-defined radios (SDRs) to read a signal from a weather sensor. (Courtesy of Adrian Burke)



How did you find out about URSA and what encouraged you to submit an application for funding?

My mentor for this project, Dayne Broderson, had been getting me thinking about potential URSA proposals for a few months before we chose this one. The STARTRAM project ended up emerging from the gaps that we found while we were working with T3 in the summer of 2024, when a student weather station project generated questions about sensor reliability and year round viability. We were also influenced by the opportunities and objectives posed by 黑料社appCenter for Energy and Power (ACEP) research, including expandi