Webinar background not configured

Watch this episode and earn a PDH:

What you'll learn when you watch:

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

Navigating the digital expanse: empowering environmental decisions with machine learning and remote sensing

Meet the panelists

Brendan Brown, PWS

Nature-Based Solutions Discipline Leader

Brendan is an expert in wetland delineation, resource assessment, habitat restoration, species surveys, and permitting and remediation; he is also one of the pioneers of Sky Wave technology.

Andrew Reicks, GISP, CFM

Senior Data Science Specialist

Andrew specializes in geospatial data analysis, building custom machine learning models from satellite, aerial, and drone data for environmental applications.

Amy Kopale

GIS Specialist

Amy specializes in geospatial data management and remote sensing, with expertise in LiDAR and multispectral data analysis.

Explore more webinars

View All Webinars

Abstract digital network with glowing blue and green nodes and lines.

Webinar

Data-driven strategies for managing complex contaminated sediment sites

Aerial view of lush green mangroves by a winding waterway, with docks and houses scattered in the distance under an overcast sky. Calm and serene.

Webinar

Drones, remote sensing and machine learning

Gain an understanding of the advantages and drawbacks of using drones, machine learning and remote sensing for environmental projects in this 1-hour webinar.

Hand holding camera lens showing a city landscape in focus, with blurred green hills beyond.

Webinar

The art and science of transforming data into action

Discover how to identify your most valuable data, how to process and transform it into insights and how to keep it safe in this webinar.

Related Detail Content Row

Two workers monitoring a drone flying over a grassy area by water, surrounded by safety cones.

Insight

Optimizing restoration and remediation projects with drones

Through our internal R&D Program, CDM Smith has used drones or Unmanned Aerial Vehicles (UAVs) to accelerate projects while also increasing the project team’s safety and the number of data points collected.

Sea waves washing foamy water onto a rocky shoreline.

Insight

Using foam fractionation to treat PFAS

PFAS foam may re-concentrate after being released in the environment, and during processes like wastewater treatment, raising the possibility of a new treatment solution.

Industrial equipment and fire truck in open garage, hoses and containers visible, bright sunlight.

Insight

Reducing PFAS contamination risk with AFFF cleanout

The current ambiguity around effective removal of PFAS compounds from fire suppression systems necessitates an approach based on science.

Tractor spreading biosolids on a harvested field under a cloudy sky.

Insight

PFAS biosolids research fills critical data gaps

Water Resource Recovery Facilities (WRRFs) have become fertile grounds for PFAS research, due to the important role they play in safeguarding surrounding waterways from contamination.

Watch this episode and earn a PDH:

What you'll learn when you watch:

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