Description
Satlas, an AI tool from AI2 (Allen Institute for AI), enables users to explore and analyze Earth's alterations through AI-annotated satellite imagery.
The tool uses monthly geospatial data to show changes related to marine infrastructure, renewable energy infrastructure, and forest cover.
Users can view examples such as offshore wind farms in China and Denmark, Amazon Rainforest deforestation, logging in Washington State, and Scottish wind farms. A key feature of Satlas is Super-Resolution, where AI models enhance low-resolution satellite imagery to generate high-resolution images globally.
This feature lets users visualize specific locations in greater detail. The AI models in Satlas use advanced architectures and training algorithms, leveraging a large-scale remote sensing dataset named SatlasPretrain, which includes over 30 TB of imagery and 300 million labels. Satlas provides freely accessible AI-generated geospatial datasets for users to download for offline analysis.
The tool also releases AI models and training labels to support further research and development. The Allen Institute for AI leads Satlas's development, aiming to improve computer vision capabilities to build AI systems that understand and reason about the world. In summary, Satlas is a powerful tool for exploring and understanding Earth's changes via AI-annotated satellite imagery, offering valuable insights into our planet's transformations.
