Satlas is a web-based geospatial data tool developed by the Allen Institute for AI. It allows users to explore and analyze changes on Earth through AI-annotated satellite imagery. This tool serves as a valuable resource for researchers, environmentalists, and policymakers who are focused on monitoring various transformations occurring on the planet.
A notable feature of Satlas is its Super-Resolution capability, which enhances low-resolution satellite imagery to produce high-resolution images. This enhancement enables users to visualize specific locations with greater clarity. The tool utilizes monthly geospatial data to track changes in critical areas, including marine infrastructure, renewable energy projects, and tree cover. Users can observe significant instances, such as offshore wind farms in China and Denmark, deforestation in the Amazon, and logging activities in Washington State.
Satlas offers freely accessible AI-generated geospatial datasets that users can download for offline analysis. This feature is particularly advantageous for researchers and analysts who need comprehensive datasets for their studies. Additionally, the tool provides AI models and training labels, which support further research and development in the field of geospatial analysis.
The AI models employed in Satlas are built on advanced architectures and training algorithms, leveraging a large-scale remote sensing dataset known as SatlasPretrain. This dataset comprises over 30 terabytes of imagery and 300 million labels, ensuring that the AI models are well-trained and capable of delivering accurate insights.
Satlas is tailored for a diverse range of users, including researchers, environmental scientists, urban planners, and policymakers. Its capabilities are particularly beneficial for those engaged in environmental monitoring, infrastructure development, and land use planning. By providing detailed insights into changes on Earth, Satlas supports informed decision-making and strategic planning.
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