Google Earth Engine is a cloud-based platform that combines a massive geospatial data catalog with large-scale computing capabilities from Google Cloud. It is designed to help organizations make informed decisions regarding sustainability and climate resilience by analyzing extensive satellite imagery and other geospatial data.

Key Features

• Geospatial Data Catalog: Features over 90 petabytes of satellite imagery and 1,000+ curated datasets, including historical imagery updated daily.
• Large-Scale Computing: Utilizes Google Cloud for parallel processing to analyze data quickly.
• Earth Engine Code Editor: A web-based environment for developing complex geospatial workflows.
• Python Integration: Supports Python tools like the Earth Engine Python API, geemap library, and Xarray for advanced analysis.
• Machine Learning Support: Allows training and deploying machine learning models using TensorFlow or PyTorch.
• Data Import/Export: Supports importing custom datasets and exporting data for use in other systems.
• Interactive Visualizations: Earth Engine Apps enable dynamic, shareable visualizations without coding.

Benefits

• Sustainability Insights: Helps organizations understand global environmental changes and impacts.
• Efficient Decision Making: Reduces the time needed to analyze large datasets, enabling faster decision-making.
• Scalability: Handles large workloads with scalable computing resources.
• Collaboration Tools: Enhances collaboration through shared, interactive visualizations.