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What is Google Earth Engine?

Google Earth Engine is a cloud-based platform tailored for the scientific analysis and visualization of geospatial data, providing users with access to an enormous public repository that holds over 90 petabytes of ready-to-analyze satellite imagery and more than 1,000 meticulously selected geospatial datasets. This extensive library includes over fifty years of historical imagery that is updated daily, featuring pixel resolutions as fine as one meter, and comprises data from sources like Landsat, MODIS, Sentinel, and the National Agriculture Imagery Program (NAIP). Users are equipped with tools to execute analyses on Earth observation data using its web-based JavaScript Code Editor and Python API, while also applying machine learning methods to construct advanced geospatial workflows. The platform's integration with Google Cloud enables large-scale parallel processing, which makes it possible to conduct comprehensive analyses and visualize Earth data efficiently. Additionally, the compatibility of Earth Engine with BigQuery further extends its functionality, rendering it a potent tool for professionals and researchers across diverse domains. This impressive array of features and capabilities establishes Google Earth Engine as a vital asset in the realm of geospatial information analysis, fostering innovation and discovery within the field. As users leverage this platform, they unlock new insights and enhance their understanding of the Earth's complexities.

What is AlphaEarth Foundations?

AlphaEarth Foundations, an advanced AI model launched by DeepMind, operates as a "virtual satellite" by integrating a wide array of Earth observation data, including optical and radar imagery, 3D laser mapping, and climate simulations, into a cohesive and compact embedding for every 10x10 meter segment of land and coastal areas. This state-of-the-art method enables rapid, on-demand mapping of global landscapes while significantly minimizing storage needs compared to previous systems. By combining diverse data sources, it effectively tackles the challenges of data overload and inconsistencies, resulting in summaries that are 16 times more compact than those produced by conventional approaches, while also achieving an impressive 24% reduction in errors for various tasks, even when faced with limited labeled data. The embeddings, compiled annually, are released as the Satellite Embedding dataset on Google Earth Engine, and they have already been leveraged by numerous organizations to identify previously uncharted ecosystems and to track agricultural and environmental changes, demonstrating the real-world utility of this innovative technology. Furthermore, this model not only deepens our comprehension of Earth's intricate dynamics but also sets the stage for upcoming improvements in environmental oversight and conservation initiatives, highlighting its transformative potential in the field.

Media

Media

Integrations Supported

AlphaCode
AlphaEarth Foundations
Gemini
Gemini Enterprise
GeoPandas
Google Cloud Analytics Hub
Google Cloud BigQuery
Google Cloud Platform
Google Earth Engine
JavaScript
Python
WeatherNext

Integrations Supported

AlphaCode
AlphaEarth Foundations
Gemini
Gemini Enterprise
GeoPandas
Google Cloud Analytics Hub
Google Cloud BigQuery
Google Cloud Platform
Google Earth Engine
JavaScript
Python
WeatherNext

API Availability

Has API

API Availability

Has API

Pricing Information

$500 per month
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Google

Date Founded

1998

Company Location

United States

Company Website

cloud.google.com/earth-engine

Company Facts

Organization Name

Google DeepMind

Date Founded

2010

Company Location

United States

Company Website

deepmind.google/discover/blog/alphaearth-foundations-helps-map-our-planet-in-unprecedented-detail/

Categories and Features

GIS

3D Imagery
Census Data Integration
Color Coding
Geocoding
Image Exporting
Image Management
Internet Mapping
Interoperability
Labeling
Map Creation
Map Sharing
Near-Matching
Reverse Geocoding
Spatial Analysis

Categories and Features

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