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eos: Satellite Data Analytics and Visualization

eos helps companies monitor land, crops, and infrastructure via satellite imagery. It is designed for teams needing remote monitoring to support strategic operational decisions.

At a glance

Best for
Mid-market companies, Enterprise companies, Precision agriculture managers, Environmental monitoring teams, Infrastructure operations managers
Pricing
Paid subscriptions are available, and annual plans offer 50% savings over monthly options. API pricing is based on the number of monthly requests and is charged annually.
Key use cases
Precision Agriculture, Infrastructure Monitoring, Border and Security Surveillance, Environmental Protection, Disaster Management
Integrations
GeoJSON export, KML export, SHP export, GeoTIFF export, JPEG export
Official website
eos.com
Screenshot of eos website

eos is a satellite intelligence platform that uses AI algorithms to process orbital data into visualizations and reports. It is designed for organizations that need to monitor large-scale physical assets or environmental changes.

The platform is used by precision agriculture managers, forestry experts, and security and infrastructure leads. It offers multiple interfaces, including a browser-based imagery tool, a dedicated crop monitoring platform, and an API for software integration.

Users can track crop health, detect deforestation, or monitor border security. By integrating data from the proprietary EOS SAT-1 and over 20 partner constellations, the system supports various imagery resolutions and sensor types, including optical and SAR.

Buyers should confirm their specific resolution needs, as high-resolution imagery options may require separate orders outside of standard subscription plans.

Key Features

LandViewer

A browser-based tool for searching, visualizing, and processing satellite imagery using band presets and indices.

Crop Monitoring

A precision agriculture platform for tracking crop health, field conditions, and vegetation indices throughout the growing season.

EOS RayVision

A tool that provides analytical reports and interactive maps for business intelligence.

EOSDA API Connect

A RESTful API for integrating satellite imagery and geospatial analytics into existing applications.

Change Detection

Tools to identify ground changes using before-and-after satellite imagery with alerts for land use changes.

AI-Driven Analytics

Machine learning models used for crop classification, yield prediction, and boundary detection.

Use Cases

Precision Agriculture

Monitoring crop health and predicting yields using biophysical and ML models.

Infrastructure Monitoring

Tracking pipelines, dams, and mines to support operations.

Border and Security Surveillance

Identifying new trails, unauthorized builds, or unusual activity across protected areas.

Environmental Protection

Detecting deforestation and monitoring canopy loss to support restoration and compliance reporting.

Disaster Management

Mapping damage from natural disasters to support insurance claim verification and emergency response.

Best For

Mid-market companiesEnterprise companiesPrecision agriculture managersEnvironmental monitoring teamsInfrastructure operations managers

Integrations

GeoJSON exportKML exportSHP exportGeoTIFF exportJPEG exportKMZ export

Pricing

Paid subscriptions are available, and annual plans offer 50% savings over monthly options. API pricing is based on the number of monthly requests and is charged annually.

FAQ

What industries does eos serve?

It supports agriculture, forestry, critical infrastructure, disaster management, oil and gas, maritime, urban planning, finance, and security.

Is there a free trial available?

Yes, a free trial is available for the Crop Monitoring platform for one field up to 300 hectares.

How is the API priced?

The API tariff is based on the number of monthly requests made to the server and is charged on an annual basis.

Does the subscription include high-resolution images?

Standard LandViewer subscriptions cover imagery from 10-100 m/pixel; images with 0.3 to 2.0 m/px resolution must be ordered separately.

Source category: Data & Analytics

Source subcategory: Data Visualization

Software Type:

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