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What is LiveEO?

LiveEO employs advanced artificial intelligence to analyze satellite imagery, providing actionable insights that enhance the safety, longevity, and effectiveness of infrastructure assets. Our renowned earth observation solutions offer tailored insights focused on safeguarding your ground-level assets. The AI platform adeptly detects potential risks, while our application ensures these insights are effectively relayed to your on-site teams. LiveEO also tracks and assesses tree health, delivering prioritized risk evaluations based on vegetation status and closeness to your assets. It further monitors nearby activities and provides early alerts regarding possible threats, enabling you to implement preventative actions before any damage occurs. In addition, LiveEO utilizes AI-enhanced satellite data to support your adherence to the European Deforestation Regulation (EUDR), ensuring that you can trust our recommendations for reliable results. Our technology integrates smoothly with your existing internal systems, bolstered by our robust network of top-tier partners and a sophisticated API. This all-encompassing strategy not only improves operational efficiency but also positions you ahead in asset management, fostering a proactive approach to infrastructure care and sustainability. Embracing LiveEO means equipping your organization with the tools needed to navigate the complexities of asset management in today’s dynamic environment.

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.

Media

Media

Integrations Supported

Amazon Web Services (AWS)
SAP Cloud Platform

Integrations Supported

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

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

$500 per month

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

LiveEO

Company Location

Germany

Company Website

www.live-eo.com

Company Facts

Organization Name

Google

Date Founded

1998

Company Location

United States

Company Website

cloud.google.com/earth-engine

Categories and Features

GIS

Not specified

Categories and Features

Geology and Seismic

Not specified

GIS

Not specified

Weather Intelligence

Not specified

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