
Satlas
Explore Earth's Changes with AI-Generated Geospatial Data

Satlas is an AI-powered platform that provides geospatial data generated by AI models. The platform offers insights into changes in marine infrastructure, renewable energy infrastructure, and tree cover on a monthly basis. Users can explore maps showcasing developments such as wind farms, solar farms, deforestation, and more. Satlas employs advanced AI architectures and training algorithms in computer vision to enhance low-resolution satellite imagery and produce high-resolution images globally. The platform's geospatial datasets are freely available for offline analysis, along with AI models and training labels. Developed by the Allen Institute for AI, Satlas aims to advance computer vision technology for better understanding and monitoring of Earth's changes.
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Features
- Monthly geospatial data updates
- AI-enhanced super-resolution imagery
- Insights into marine and renewable energy infrastructure
- Free access to geospatial datasets
- State-of-the-art AI models for analysis
Advantages
- Provides detailed insights into global changes
- Utilizes AI for enhanced data analysis
- Frequent updates on environmental developments
- Free access to geospatial datasets
- Advanced super-resolution imagery capabilities
Disadvantages
- Dependence on JavaScript for app functionality
- Limited focus on specific regions and topics
- Complexity in interpreting AI-generated data
Frequently Asked Questions
-
Q:What kind of data does Satlas provide?
A:Satlas offers geospatial data generated by AI models, focusing on changes in marine and renewable energy infrastructure. -
Q:Are the geospatial datasets freely accessible?
A:Yes, Satlas provides free access to its geospatial datasets for offline analysis. -
Q:Who developed Satlas?
A:Satlas was developed by the Allen Institute for AI and maintained by PRIOR and colleagues.
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Satlas is an AI-powered platform that provides geospatial data generated by AI models. The platform offers insights into changes in marine infrastructure, renewable energy infrastructure, and tree cover on a monthly basis. Users can explore maps showcasing developments such as wind farms, solar farms, deforestation, and more. Satlas employs advanced AI architectures and training algorithms in computer vision to enhance low-resolution satellite imagery and produce high-resolution images globally. The platform's geospatial datasets are freely available for offline analysis, along with AI models and training labels. Developed by the Allen Institute for AI, Satlas aims to advance computer vision technology for better understanding and monitoring of Earth's changes.

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