Satlas

What is Satlas?

Satlas is described as an innovative tool by AI2 that offers a dynamic way to observe the changes our planet undergoes through AI-annotated satellite imagery. The platform allows users to explore various timeframes and locations to witness transformations in the environment and urban development. It is designed to be user-friendly, making it accessible to educators, researchers, and enthusiasts interested in observing global changes visible from space. By combining advanced satellite technology with artificial intelligence, Satlas provides an informative and engaging experience for those passionate about monitoring Earth's evolving landscape.

Key Features of Satlas:

1. AI-Annotated Imagery: Satellite images annotated with AI for precise observations.
2. Timeframe Navigation: Explore historical satellite imagery to track environmental changes over time.
3. Geographical Exploration: Access satellite imagery from diverse locations worldwide.
4. User-Friendly Interface: Designed for accessibility to both professionals and enthusiasts.
5. Informative Platform: Ideal for educational and research purposes, enhancing understanding of Earth's conditions.

(Source: satlas.pdf)

Who created Satlas?

Satlas was created by Favyen Bastani and the AI2 team at the Allen Institute for AI. The platform offers a unique way to monitor global changes using AI-annotated satellite imagery, aiding observations of environmental transformations and urban development. Satlas is user-friendly, facilitating exploration for educators, researchers, and enthusiasts interested in Earth's evolving landscape .

What is Satlas used for?

• Discovering changes in marine infrastructure
• Identifying changes in renewable energy infrastructure
• Monitoring changes in tree cover
• Enhancing low resolution satellite imagery
• Utilizing AI models for computer vision
• Accessing freely available AI-generated geospatial datasets
• Exploring historical satellite imagery for environmental changes
• Accessing satellite imagery from different global locations
• Designed for accessibility by both professionals and enthusiasts
• Ideal for education and research purposes

How to use Satlas?

Satlas is a cutting-edge tool developed by AI2 that utilizes AI-annotated satellite imagery to offer a unique way of observing our planet's transformations. Here is a step-by-step guide on how to use Satlas effectively:

1. Accessing the Platform: Visit the Satlas website at https://satlas.allen.ai to start using the tool.

2. Exploring Features:

   • AI-Annotated Imagery: View satellite images annotated with AI for precise observations.
   • Timeframe Navigation: Explore historical satellite imagery to track environmental changes over different periods.
   • Geographical Exploration: Access satellite imagery from diverse locations worldwide.
   • User-Friendly Interface: Navigate through the platform easily, designed for users of all levels.
   • Informative Platform: Ideal for educational and research purposes, offering insights into global changes visible from space.

3. Utilizing the Tool:

   • Click on the provided links to begin exploring AI-annotated satellite imagery and witness the changes our planet undergoes.
   • Use the time navigation features to select specific timeframes for viewing historical changes in the environment.
   • Experiment with the geographical exploration tools to explore satellite imagery from different regions.

4. Engaging with AI Models:

   • Learn about the advanced AI models in Satlas that utilize state-of-the-art architectures for computer vision.
   • Access the large-scale remote sensing dataset called SatlasPretrain containing over 30 TB of imagery and 300 million labels.

5. Collaboration and Support: Be part of the engaging community driven by PRIOR and colleagues at the Allen Institute for AI, dedicated to advancing computer vision and AI systems for better understanding of the world.

By following these steps, you can effectively use Satlas to explore and understand the dynamic changes occurring on our planet through AI-annotated satellite imagery.