University of North Dakota (UND)
University of North Dakota (UND)
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Literature Screening for Carbon Measurement Integration

Open
Bayes Studio
Bayes Studio
Vancouver, British Columbia, Canada
Maryam KheirmandParizi
Maryam KheirmandParizi She / Her
Operation Manager
4
Project
Academic experience
60 hours per learner
Learner
Anywhere
Intermediate level

Project scope

Categories
Market research Education Scientific research
Skills
research
Details

Students will engage in the following tasks and activities to achieve the project goal:


1. Literature Review and Screening

Task: Perform a comprehensive review of academic literature, white papers, and industry reports on carbon measurement technologies.

Activity: Identify key technologies such as infrared gas analyzers, LIDAR, hyperspectral sensors, and others.

Deliverable: A detailed literature review report highlighting the most relevant carbon measurement methods.


2. Technology Comparison and Feasibility Analysis

Task: Compare the identified carbon measurement technologies based on factors like accuracy, range, power efficiency, weight, and compatibility with the our aerial vehicle.

Activity: Conduct a comparative analysis, considering how each technology could be adapted to our UAVs.

Deliverable: A feasibility matrix comparing the technologies and a recommendation report on the most suitable options.


3. Application Area Analysis

Task: Research and analyze areas of interest where carbon measurement is most impactful, such as wildfire emissions, forest carbon sequestration, and urban-industrial monitoring.

Activity: Identify key global regions and sectors where Bayes Studio’s aerial vehicle could provide carbon measurement data, complementing its wildfire monitoring.

Deliverable: A report outlining the areas of interest with data on carbon impact and potential monitoring opportunities.


4. Sensor Integration Requirements

Task: Outline the technical specifications required for integrating carbon measurement sensors into the aerial system.

Activity: Work with technical specifications for sensor weight, power consumption, data transmission, and sensor accuracy.

  • Deliverable: A technical requirements document that outlines the key factors to consider for sensor integration.
Deliverables

Final Deliverables:

  1. Literature Review Report:  A Literature Review Report summarizing various carbon measurement methods (e.g., IRGA, LIDAR, hyperspectral sensors) and their application in aerial vehicles.
  2. Feasibility Matrix & Recommendation Report: A Technology Feasibility Matrix and a Recommendation Report that compares the technologies and recommends the most appropriate carbon measurement system for Bayes Studio’s aerial vehicle.
  3. Application Area Report that outlines the specific regions, ecosystems, or industries where carbon measurement is essential, highlighting opportunities for our UAVs.
  4. Sensor Integration Requirements Document that details the technical specifications needed to adapt the sensors to the aerial vehicle platform.


Mentorship
Domain expertise and knowledge

Providing specialized, in-depth knowledge and general industry insights for a comprehensive understanding.

Skills, knowledge and expertise

Sharing knowledge in specific technical skills, techniques, methodologies required for the project.

Hands-on support

Direct involvement in project tasks, offering guidance, and demonstrating techniques.

Tools and/or resources

Providing access to necessary tools, software, and resources required for project completion.

Regular meetings

Scheduled check-ins to discuss progress, address challenges, and provide feedback.

Supported causes
Climate action

About the company

Company
https://bayesstudio.com
Vancouver, British Columbia, Canada
2 - 10 employees
Environment, It & computing, Technology
Representation
Minority-Owned Women-Owned BIPOC-Owned Small Business Youth-Owned
+ 1

Bayes Studio leads in technological innovation, offering advanced AI solutions integrated with SaaS and IoT frameworks. Harnessing the power of advanced artificial intelligence, our technology leverages satellite data and a comprehensive multispectral sensor system, including cameras, thermal imaging, and smoke detectors, to provide unparalleled environmental monitoring solutions.

Our unique approach is carefully designed to meet the intricate challenges of detecting and managing wildfires with unparalleled precision. By providing reliable and prompt alerts with a near-zero false positive rate, we empower stakeholders from government bodies to private sector players to make swift, informed decisions that save lives and preserve resources.