
TerraTrace: Spatio-Temporal Signatures for Land Use Analytics
Understanding land use over time is critical to tracking events related to climate change, like deforestation. However, satellite-based remote sensing tools which are used for monitoring struggle to differentiate vegetation types in farms and orchards…
Project Egypt
Technology to enable widespread availability of greenhouse gas data and insights Greenhouse gas (GHG) concentrations have continued to grow, fueling the climate crisis. Yet, measuring GHG emissions efficiently and at scale remains surprisingly elusive due…
Project Aurora: The first large-scale foundation model of the atmosphere
Megan Stanley, Senior Researcher, Microsoft Research AI for Science, talks about Aurora, a cutting-edge foundation model that offers a new approach to weather forecasting that could transform our ability to predict and mitigate the impacts…
ML for High-Performance Climate and Earth Virtualization Engines
Speaker: Torsten HoeflerHost: Karin Strauss Machine learning presents a great opportunity for Climate simulation and research. We will discuss some ideas from the Earth Virtualization Engines summit in Berlin and several research results ranging from…
Mapping the World: Creating a Global and Temporal High-Resolution Building Density Map
This seminar was hosted by Microsoft Research Africa, Nairobi together with the Microsoft AI for Good team in July 2024. Knowing where people live is critical for urban planning, disaster management, and more broadly, for…