Applying machine learning models to earth observation data to deliver new data, analyses and insights into the state of the world's natural ecosystems

Understanding the distribution, trajectory and change of the world's intertidal coastal ecosystems

Developing methods with the IUCN Red List of Ecosystems team to understand the status of all of Earth's ecosystems

Estimating risks to ecosystems and species using spatial simulation models and machine learning

Working the The Nature Conservancy to identify the places on earth most suitable for coastal wetland restoration

Partnership with NGOs and governments to map and assess the status of natural ecosystems at the national scale

Understanding the drivers of population dynamics and declines in world's largest migratory flyways

Developing open-access software in Google Earth Engine, Python and R to support environmental management and conservation globally