Geospatial Embeddings: Compressing the Planet into Vectors
What are geospatial embeddings, and how can we use them in Earth system modeling?
Posts
Learning the Deep Learning for Earth System Research
Seven modules were released by PNNL to demonstrate a broad display of AI/ML application to the Earth Sciences, a useful tool for scientists looking to apply more AI/ML methodologies in their research.
Diffusion Models (Part 4): Precipitation Estimation from Satellite Imagery
From orbit to rainfall – how AI helps us understand Earth’s water cycle.
Diffusion Models (Part 3): Advancing Weather Forecasting
A new era of weather forecasting is emerging with diffusion models.
Foundation Models for the Earth System: AI that Understands our Planet
Exploring the power of foundation models in AI and Earth sciences.
Diffusion Models (Part 2): Denoising Diffusion Implicit Models
An introduction to DDIMs - a faster and more efficient alternative to DDPMs.
Diffusion Models (Part 1): Foundations and Principles
A beginner’s guide to diffusion models