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Introduction:
Are you curious about the changes happening on Earth? How about exploring and analyzing these changes using AI-annotated satellite imagery? Introducing Satlas, an AI tool developed by AI2 (Allen Institute for AI) that allows you to delve into Earth’s transformations with ease.
Satlas utilizes monthly geospatial data to reveal changes in marine and renewable energy infrastructure, as well as tree cover. With specific examples like offshore wind farms in China and Denmark, deforestation in the Amazon Rainforest, logging in Washington State, and wind farms in Scotland, Satlas offers a comprehensive understanding of our planet’s evolution.
One of the key features of Satlas is Super-Resolution, where AI models enhance low-resolution satellite imagery to produce high-resolution images on a global scale. This functionality enables you to visualize specific locations with improved clarity. Powered by cutting-edge architectures and training algorithms, Satlas leverages the vast SatlasPretrain dataset, containing over 30 TB of imagery and 300 million labels.
Not only does Satlas provide freely accessible AI-generated geospatial datasets, but it also allows you to download them for offline analysis. Additionally, the tool releases AI models and training labels to facilitate further research and development. Led by a team at Allen Institute for AI, Satlas aims to advance computer vision capabilities and create AI systems that can understand and reason about the world.
In summary, Satlas is a powerful tool for exploring and understanding Earth’s changes through AI-annotated satellite imagery. Gain valuable insights into various aspects of our planet’s transformation with this remarkable AI tool.
Overview:
Satlas is an AI tool developed by AI2 (Allen Institute for AI) that allows users to explore and analyze changes happening on Earth through AI-annotated satellite imagery. The tool utilizes monthly geospatial data to reveal changes in various aspects such as marine infrastructure, renewable energy infrastructure, and tree cover. Users can observe specific examples like offshore wind farms in China and Denmark, deforestation in the Amazon Rainforest, logging in Washington State, and wind farms in Scotland.
One of the key features of Satlas is Super-Resolution, where AI models enhance low-resolution satellite imagery to produce high-resolution images on a global scale. This functionality helps users to visualize details of specific locations with improved clarity. The AI models employed in Satlas utilize cutting-edge architectures and training algorithms, leveraging a large-scale remote sensing dataset called SatlasPretrain, which contains over 30 TB of imagery and 300 million labels.
Satlas provides freely accessible AI-generated geospatial datasets and allows users to download them for offline analysis. The tool also releases AI models and training labels to facilitate further research and development. The development of Satlas is led by a team at Allen Institute for AI, which aims to advance computer vision capabilities to create AI systems that can understand and reason about the world.
Overall, Satlas is a powerful tool for exploring and understanding Earth’s changes through AI-annotated satellite imagery, providing valuable insights into various aspects of our planet’s transformation.
Benefits:
- Satlas allows users to explore and analyze changes happening on Earth through AI-annotated satellite imagery.
- The tool reveals changes in various aspects such as marine infrastructure, renewable energy infrastructure, and tree cover.
- Users can observe specific examples like offshore wind farms in China and Denmark, deforestation in the Amazon Rainforest, logging in Washington State, and wind farms in Scotland.
- Satlas utilizes Super-Resolution, where AI models enhance low-resolution satellite imagery to produce high-resolution images on a global scale.
- The tool provides freely accessible AI-generated geospatial datasets and allows users to download them for offline analysis.
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