A374
Categories: datageospatialsattelites

About Satlas

Satlas is an innovative AI tool developed by the Allen Institute for AI (AI2) that enables users to explore and analyze Earth’s transformations through AI-enhanced satellite imagery. The tool leverages monthly geospatial data to detect changes in marine and renewable energy infrastructure as well as tree cover. Users can examine specific examples such as offshore wind farms in China and Denmark deforestation in the Amazon Rainforest logging in Washington State and wind farms in Scotland.A standout feature of Satlas is its Super-Resolution capability which utilizes AI models to enhance low-resolution satellite images providing high-resolution visuals on a global scale. This functionality allows users to visualize specific locations with enhanced clarity. The AI models utilized in Satlas are built on state-of-the-art architectures and training algorithms drawing from a vast remote sensing dataset known as SatlasPretrain which comprises over 30 TB of imagery and 300 million labels.Satlas offers freely accessible AI-generated geospatial datasets for download enabling offline analysis. Additionally the tool releases AI models and training labels to support further research and development. Led by a dedicated team at the Allen Institute for AI the development of Satlas aims to advance computer vision capabilities for the creation of AI systems capable of comprehending and reasoning about the world.In conclusion Satlas is a robust tool for investigating and comprehending Earth’s transformations through AI-enhanced satellite imagery providing valuable insights into the evolving landscape of our planet.

Potential Career Use Cases

Geospatial data

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Satlas

Categories: datageospatialsattelites
Use Cases
Geospatial data

About Satlas

Satlas is an innovative AI tool developed by the Allen Institute for AI (AI2) that enables users to explore and analyze Earth’s transformations through AI-enhanced satellite imagery. The tool leverages monthly geospatial data to detect changes in marine and renewable energy infrastructure as well as tree cover. Users can examine specific examples such as offshore wind farms in China and Denmark deforestation in the Amazon Rainforest logging in Washington State and wind farms in Scotland.A standout feature of Satlas is its Super-Resolution capability which utilizes AI models to enhance low-resolution satellite images providing high-resolution visuals on a global scale. This functionality allows users to visualize specific locations with enhanced clarity. The AI models utilized in Satlas are built on state-of-the-art architectures and training algorithms drawing from a vast remote sensing dataset known as SatlasPretrain which comprises over 30 TB of imagery and 300 million labels.Satlas offers freely accessible AI-generated geospatial datasets for download enabling offline analysis. Additionally the tool releases AI models and training labels to support further research and development. Led by a dedicated team at the Allen Institute for AI the development of Satlas aims to advance computer vision capabilities for the creation of AI systems capable of comprehending and reasoning about the world.In conclusion Satlas is a robust tool for investigating and comprehending Earth’s transformations through AI-enhanced satellite imagery providing valuable insights into the evolving landscape of our planet.

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