Satlas is an AI-powered geospatial monitoring platform built to convert satellite imagery into updated global maps and insights. Using deep learning and computer vision, it analyzes data from satellites such as Sentinel-2 to track key features like tree canopy coverage, solar farms, and wind turbines. Updated monthly, it enables a wide range of professionals�from scientists to NGOs�to visualize, explore, and download current environmental data. Satlas also provides open access to its trained models, empowering the research and developer community with advanced tools for spatial intelligence.
Performance Score
A
Content/Output Quality
Highly Relevant
Interface
Intuitive & User-Friendly
AI Technology
- Deep Learning
- Computer Vision
- Super-Resolution
Purpose of Tool
Generate and visualize AI-derived geospatial data
Compatibility
Web-Based
Pricing
Free
Who is Best for Using Satlas?
- Environmental Researchers: Track forest cover, land changes, and ecological health using up-to-date satellite data.
- Policymakers: Use current spatial data to guide infrastructure, conservation, and environmental policy decisions.
- Educators: Teach satellite image analysis and environmental science with real-world, interactive datasets.
- Non-Governmental Organizations (NGOs): Monitor environmental impacts to support sustainability and advocacy projects.
- Urban Planners: Analyze land use patterns to plan greener, more sustainable urban environments.
AI-Generated Geospatial Data
Monthly Updates on Global Features
Super-Resolution Imagery Enhancement
Visualization of Renewable Energy Installations
Tree Canopy Coverage Analysis
Downloadable Data for Offline Analysis
Open-Source Model Access
Integration with External Tools and Platforms
User-Friendly Web Interface
Support for Custom Image Inference
Is Satlas Free?
Yes, Satlas is completely free to use. Users can explore the platform, visualize geospatial changes, and download data without payment or registration. It also provides access to its AI models and training datasets under open-source terms, making it ideal for developers and researchers seeking transparency and flexibility.
Satlas Pros & Cons
Provides up-to-date global geospatial data
Enhances low-resolution images using AI
Offers open-source models and datasets
Supports environmental and research use cases
Simple interface for data visualization
Dependent on satellite data availability
May not detect small or obscure features
Requires geospatial data literacy for best use
Limited to selected environmental indicators
No offline access without prior downloads
