Seagrass ID

Improving capacity to monitor seagrass extent, cover, and condition for restoration. Created by The Global Wetlands Project

Try the app

Try our online app which automatically detects seagrass cover and species. The app uses a generic global model for seagrass detection and segmention. For optimised performance at your location, please contact us to discuss your project.

Motivation

We seek to enable cheap, safe and reliable in-situ underwater monitoring of seagrass extent, cover, and condition for enhancing conservation planning and assessment of restoration success.

Leveraging computing power
Enabling fast and reliable reports
Building capacity
Deployable on any location

The People Behind the Project

Under the leadership of Prof. Rod Connolly, this project benefits from the essential contributions of Dr. César Herrera, Dr. Michael Sievers, Jasmine Rasmussen, Alison McNamara, and Prof. Bela Stantic.

Our Team Make-Up

Our team has very strong capability in the three key components: seagrass ecology, deep-learning solutions supporting environmental decision makers, and building camera hardware that withstands intensive fieldwork.

Acknowledgements

This project is sponsored by Oceankind and undertaken by the Global Wetlands Project team at Griffith University. Several seagrass researchers and enthusiasts have contributed images to this project.