The AI powered platform for realtime GHG emissions reporting and solutions. Earth Genome designs and builds the production website and data infrastructure.

Leveraging AI and remote sensing science to develop a scalable seagrass mapping methodology, fine-tuning remote sensing AI models for 4 pilot geographies, and creating maps of seagrass extent, change, threats, and carbon stocks.

We count every tree, because every tree counts. ctrees is a platform to track carbon in every tree and forest on the planet.

With Climate TRACE, identified nearly 400K large-scale livestock facilities that have significant environmental impacts, including contributing to ~10% of global greenhouse gas emissions.

Global Energy Monitor is the most comprehensive open data source on the world’s energy system. Earth Genome builds the mapping experience to explore this amazing resource.

The digital twin that models supply chains across the entire world’s food system, tracking calories from farm to fork across oceans and borders.

RMI's platform to measure, map, and mitigate global waste methane emissions. Earth Genome architected, designed and built WasteMAP.

In collaboration with the Army Corps of Engineers and Arizona State University, Recharge IQ identifies suitable locations for using excess floodwater for beneficial and practical groundwater recharge.

The Groundwater Recharge Assessment Tool (GRAT) plays a key role in securing the future of agriculture as we grapple with a drier, hotter future caused by climate change.

With Stanford University researchers, we developed high-resolution, up-to-date land-use maps capable of capturing the fine-scale habitat variation most relevant to disease transmission.

The Plotline is a collection of digital products focused on the intersection of Food and Climate. It brings together a community of data scientists, designers, and creative technologists on a mission to help create a food system rooted in data and designed to be resilient in the face of climate change.

Earth Index, a search tool for the environment, harnesses satellite imagery and machine learning to extract an area's "genetic signature." Obtain insights in a day, instead of months.

Reconstruction and visualization of radionuclide deposition provides data at the highest available resolution for re-evaluation of public health and environmental impacts from atmospheric nuclear testing.