Navigating the Digital Expanse: Empowering Environmental Decisions with Machine Learning and Remote Sensing

Navigating the Digital Expanse: Empowering Envi­ron­men­tal Decisions with Machine Learning and Remote Sensing 

On-demand webinar recorded december 2023
The rapid advancement in data collection technology has enabled us to amass vast amounts of information at an unprecedented pace and reduced costs. Machine learning applications have already demonstrated their potential in deciphering complex datasets, aiding our understanding and decision-making. However, when it comes to the environmental sector, these promising machine learning applications are underutilized. Applying machine learning models to site-specific environmental data demands a deeper comprehension of these models and their practical implementation.

Watch and earn a PDH

What you'll learn by attending: 

  • Understand the signif­i­cance of digital data collection advance­ments
  • Explore how tech­no­log­i­cal progress has revo­lu­tion­ized data gathering, making it faster and more cost-effective.
  • Have a basic under­stand­ing of how machine learning models are applied to envi­ron­men­tal projects. 
  • Learn to ask the right questions to get the most of remote sensing datasets and expand their application to the envi­ron­men­tal challenges of today. 

Meet the presenters and Sky Wave team: 

Brendan Brown is a profes­sional wetland scientist with over 18 years of experience in envi­ron­men­tal data collection. He has extensive experience in assessing various ecosystems including wetlands, upland forest, seagrass, mangroves, and salt marshes. Brendan is the principal inves­ti­ga­tor of numerous R&D projects leveraging machine learning and remote sensing to assess envi­ron­men­tal systems. He leads Sky Wave at CDM Smith.

Drew Reicks is a geospatial data scientist with over eight years of experience. He leads Sky Wave’s remote sensing and machine learning appli­ca­tions. His experience includes analysis of geospatial data; remote sensing; and tool, process, and model development. He specializes in using Python to automate and model complicated processes. He is also an FAA licensed part 107 drone pilot.

Amy Kopale is a GIS profes­sional with experience in geospatial data management and analysis. Her project work often involves leveraging open source and commercial data to better understand and solve human-envi­ron­men­tal problems. She is experienced in remote sensing principles and appli­ca­tions, including lidar and multi­spec­tral data analysis.