NASA Ocean AI Working Group
Mission Statement
We are a collective of teams funded by NASA programs and friends and colleagues who are interested in advancing NASA’s oceanography missions, sciences and applications.
Our mission is to enhance and amplify NASA oceanography efforts by leveraging modern data science, including machine learning and artificial intelligence.
This working group serves as a conduit to bridge disciplinary gaps, foster collaboration on existing projects, and initiate new endeavors.
Working group objectives
- Advance the development of state-of-the-art machine learning tools designed for the analysis and synthesis of NASA’s oceanography mission data.
- Transform ocean data analysis to address the big data challenges of modern remote sensing.
- Facilitate integration of multi-mission datasets, enabling real-time applications and supporting in-depth scientific exploration of causal relationships and future mission formulation.
Approach
- Develop high-quality training datasets leveraging NASA simulations and observational data.
- Construct, train, and fine-tune foundation models to advance satellite data analysis capabilities.
- Deliver open-source toolkits to empower the next generation of satellite data exploration, enabling multi-mission data synthesis, causal investigations and scientific applications, and future mission formulation.
- Improve conventional models and enable forecasting of ocean conditions to drive societal benefits and informed decision-making.
Implementation
- High-quality training data is crucial for building robust foundation models.
- Satellite image thumbnails (SST, SSH, chlorophyll, hyperspectral)
- high-resolution numerical simulations
- Reanalysis products
- Task-specific foundation models
- Gap-filling
- Denoising
- Bias-removal
- Classification, segmentation, feature identification/extraction
- General foundation models that use multi-variables (satellites) and constrained by ocean physics
- Satellite data assimilation
- Study ocean dynamics
- Assist future mission formulation and development
- forecast