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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 CMaps Analytics?

CMapsAnalytics.js was developed to empower users to create and integrate engaging map experiences that highlight the connections among people, assets, events, and geographical areas. This tool prioritizes enterprise-level analytics in its design. With a history of tens of thousands of business intelligence developers relying on our solutions, we have successfully tackled numerous core challenges associated with transforming web mapping APIs, like Google Maps, into valuable business tools. Our cloud-based methodology facilitates rapid prototyping of various map experiences through an intuitive, code-free Designer. Additionally, users can utilize CMaps Analytics JavaScript to enrich, connect, and embed their maps into any cloud or on-premise applications they choose. Organizations that have made investments in enterprise systems or business intelligence can effortlessly weave location intelligence into their operations using CMaps Analytics extensions, enabling them to maximize their existing resources for better decision-making. Ultimately, the combination of versatility and strength found in CMaps Analytics makes it an essential resource for contemporary organizations looking to fully capitalize on their data assets. By leveraging this powerful tool, businesses can elevate their operational efficiency and gain a competitive edge in their respective markets.

Media

Media

Integrations Supported

AlphaEarth Foundations
GeoPandas
Google Cloud Analytics Hub
Google Cloud BigQuery
Google Cloud Platform
JavaScript
Python
WeatherNext

Integrations Supported

API Availability

Has API

API Availability

Pricing Information

$500 per month

Pricing Information

Pricing not provided
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

SaaS
On-Prem

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Standard 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

Centigon Solutions

Date Founded

2008

Company Location

United States

Company Website

cmapsanalytics.com

Categories and Features

Geology and Seismic

Not specified

GIS

Not specified

Weather Intelligence

Not specified

Categories and Features

GIS

Census Data Integration
Color Coding
Geocoding
Internet Mapping
Interoperability
Map Creation
Map Sharing
Near-Matching
Reverse Geocoding
Spatial Analysis

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