Brendan Brown - Leveraging Machine Learning for Drone Data

After the Flight: Leveraging Machine Learning for Drone Data Analysis in Environmental Impact Prediction

Brendan Brown, Environmental Scientist, CDM Smith

Drone technology applications have revolutionized the way environmental and infrastructure data is collected, but for many practitioners, the true challenge arises after the flight. With gigabytes of data from high-resolution cameras, LiDAR, and multispectral sensors, turning this data into actionable decisions becomes a significant hurdle. By integrating machine learning into drone data analysis, along with deep learning techniques, we can extract actionable intelligence that human subject matter experts can use to base their decisions. This presentation will highlight how these machine learning and deep learning models are utilized for tasks such as classifying land cover, mapping invasive species, detecting changes, and predicting ecological impacts with unprecedented accuracy. These advanced tools not only enhance decision-making but also streamline regulatory compliance and permitting workflows. Attendees will gain valuable insights into practical applications, implementation strategies, and future directions for AI and geospatial technologies, including their role in environmental impact prediction within Florida's environmental sector.

Brendan V. Brown is an environmental scientist with over 20 years of experience supporting complex environmental and infrastructure projects across the United States. He specializes in wetland delineation, permitting, ecological restoration, and integrating Nature-Based Solutions into project delivery. For more than 8 years, Brendan has led the way in drone technology applications, specifically harnessing machine learning to analyze drone data for environmental challenges. His innovative workflows transform high-resolution imagery into actionable insights, focusing on environmental impact prediction. By utilizing deep learning, he accelerates field investigations, improves data consistency, and supports defensible, regulator-ready outcomes. As a technical leader, Brendan has advanced tools that reduce field time, streamline permitting processes, and enhance decision-making for transportation, civil works, and remediation projects. He frequently collaborates with multidisciplinary teams to bridge the gap between emerging technology and practical implementation in the field.