What are mangroves?

Mangroves are a very valuable and understudied plant species. They provide $100,000 per hectare per year in services that are critical to the overall health of coastal ecosystems. Mangroves act as fishery habitats, they sequester carbon, filter runoff, and protect coastlines from hurricanes, as they lie in coastal or estuarial regions, oftentimes some of the most vulnerable areas to environmental changes.

What is the Mangrove Monitoring Project?

The Mangrove Monitoring project is a collaboration between Engineers for Exploration at UC San Diego and the Aburto Lab at the Scripps Institute of Oceanography (SIO) at UC San Diego to better track, understand, and track these important types of trees. Both labs focus on mangroves in Baja California, Sur, where we work with local leaders on the conservation of mangroves in these areas.

While the Aburto Lab mainly focuses on policy and environmental studies of mangroves, at Engineers for Exploration studies how we can apply Remote Sensing and Machine Learning to monitor these mangroves with mangrove detection and quantification. We use state of the art methods including high resolution drone imagery and deep learning to empower scientists at the Aburto Lab and our collaborators in Mexico to help protect these ecosystems.

What is this website?

This website is the location where the Mangrove Monitoring Project stores documentation and information related to our Machine Learning Development, Tools, and other solutions we develop. If you want to view our code directly, please visit our github repositories for our various projects below:

General Tools and Documentation: https://github.com/UCSD-E4E/mangrove

Machine Learning Development: https://github.com/UCSD-E4E/ml-mangrove

Image Classification Tool: https://github.com/UCSD-E4E/web-mangrove

Image Labeling Tool: https://github.com/UCSD-E4E/labeling-mangrove

Biomass Estimation: https://github.com/UCSD-E4E/biomass-mangrove