Environmental Analytics
Making Big Projects Small
From cutting-edge audio and image classification tools to tailored data analytics, our team is reshaping how ecology is done across Queensland.
Ecology has entered the world of big data. Scalable and accurate data analysis is more important now than ever. At e2m, we combine technological expertise with ecological knowledge to efficiently process vast data sets, resulting in more extensive survey efforts and more informed and reliable conclusions for clients.
Key Capabilities
Our tools and analytics provide fast, repeatable and reliable assessments of large and complex data.
We develop audio classification tools to scan years of data for species-specific calls – like those of koalas and yellow-bellied gliders, helping us to establish presence, estimate abundance and distribution and monitor population changes over time.
We develop image classification tools to rapidly process large volumes of camera trap data and identify images containing target species. This feeds into an analysis pipeline which teases out presence, abundance, distribution, and behavioural trends.
We develop custom image segmentation tools to identify key ecological regions within images, like ephemeral gilgai wetlands or biodiversity rich riparian zones within flood plains. These tools enable us to rapidly process images covering huge swathes of area and identify key habitats for target species.
We’ve developed custom object detection tools to process drone survey images and detect key species, like koala, greater glider, and over 100 species of bird. This enables us to rapidly process drone surveys containing thousands of images.
Computer vision tools are just a step in our process. We rigorously review the results of the classification and detection tools to verify accuracy. Transparency of process and QA gives our clients, and the regulators, confidence in the results.
Bioacoustic
We develop audio classification tools to scan years of data for species-specific calls – like those of koalas and yellow-bellied gliders, helping us to establish presence, estimate abundance and distribution and monitor population changes over time.
Camera Trap
We develop image classification tools to rapidly process large volumes of camera trap data and identify images containing target species. This feeds into an analysis pipeline which teases out presence, abundance, distribution, and behavioural trends.
Remote Sensing
We develop custom image segmentation tools to identify key ecological regions within images, like ephemeral gilgai wetlands or biodiversity rich riparian zones within flood plains. These tools enable us to rapidly process images covering huge swathes of area and identify key habitats for target species.
Drone
We’ve developed custom object detection tools to process drone survey images and detect key species, like koala, greater glider, and over 100 species of bird. This enables us to rapidly process drone surveys containing thousands of images.
Expert Quality Assurance
Computer vision tools are just a step in our process. We rigorously review the results of the classification and detection tools to verify accuracy. Transparency of process and QA gives our clients, and the regulators, confidence in the results.
How our Technology-Led, Insight-Driven Approach adds Values
Accurate Detection
Site-Specific Insights
Population Tracking
Responsiveness
Effectiveness
Demonstrate progress and success in conservation actions.
Scalability
Extend monitoring programs to process 100,000+ camera trap images, enable permanent acoustic population tracking, and analyse drone and remote sensing data across thousands of square kilometres.
Our projects
Environmental Analytics in Practice
Our state-of-the-art call and image detection models are already delivering results across Queensland.
Meet the Experts
Our Environmental Analytics Team
John Van Osta
Principal Ecologist
Josh Wilson
Computational Ecologist
Chris Urbanek
Senior Spatial Ecologist
Laetitia Smoll
Professional Ecologist
