Satlas
Exploring the changing planet through AI-powered geospatial data
Satlas is an AI-powered platform that provides geospatial data generated by AI models. The platform showcases how our planet is changing by revealing insights into marine infrastructure, renewable energy infrastructure, and tree cover. Satlas employs state-of-the-art AI architectures and training algorithms in computer vision to enhance low-resolution satellite imagery and produce high-resolution images on a global scale. The AI-generated geospatial datasets are freely available for offline analysis, along with AI models and training labels. The platform is developed and maintained by PRIOR and colleagues at the Allen Institute for AI, aiming to advance computer vision and create AI systems that understand and reason about the world.
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Features
- AI-generated geospatial data
- Enhancement of low-resolution satellite imagery
- State-of-the-art AI models
- Freely available datasets
- Developed and maintained by AI experts
Advantages
- Reveals changes in marine and renewable energy infrastructure
- Provides insights into tree cover and environmental changes
- Enhances satellite imagery for detailed analysis
- Freely accessible geospatial datasets
- Utilizes advanced AI models for accurate results
Disadvantages
- Dependence on JavaScript for running the app
- Limited information on specific AI models used
- May require technical expertise for in-depth analysis
Frequently Asked Questions
-
Q:What is Satlas?
A:Satlas is an AI-powered platform that provides geospatial data generated by AI models. -
Q:How can I access the geospatial datasets?
A:The AI-generated geospatial datasets are freely available for offline analysis. -
Q:Who maintains Satlas?
A:Satlas is developed and maintained by PRIOR and colleagues at the Allen Institute for AI.
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Satlas is an AI-powered platform that provides geospatial data generated by AI models. The platform showcases how our planet is changing by revealing insights into marine infrastructure, renewable energy infrastructure, and tree cover. Satlas employs state-of-the-art AI architectures and training algorithms in computer vision to enhance low-resolution satellite imagery and produce high-resolution images on a global scale. The AI-generated geospatial datasets are freely available for offline analysis, along with AI models and training labels. The platform is developed and maintained by PRIOR and colleagues at the Allen Institute for AI, aiming to advance computer vision and create AI systems that understand and reason about the world.
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