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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 DUG Insight?

DUG Insight revolutionizes the field of geoscience by providing a robust and interactive software platform that specializes in advanced seismic data processing, imaging, and interpretation for various survey types, including land, marine, and ocean-bottom environments. Featuring DUG's state-of-the-art multi-parameter FWI imaging, this platform delivers innovative least-squares imaging solutions that push the boundaries of seismic analysis. By incorporating a novel approach to geoscience, DUG Insight merges powerful functionalities with an intuitive user interface. Among its many features, the processing and imaging module showcases a collection of proprietary technologies created by DUG, such as deblending, noise suppression, deghosting, and data regularization, all aimed at significantly improving seismic workflows. This platform not only simplifies the data processing journey but also equips users with interactive interpretation tools tailored to meet their unique imaging and processing needs in both terrestrial and aquatic settings. Ultimately, DUG Insight serves as a game-changing resource, fundamentally altering how geoscientists engage with and interpret seismic data while enhancing collaboration among peers in the field. As a result, it fosters a new era of discovery and innovation within geoscience research and application.

Media

Media

Integrations Supported

GeoPandas
Google Cloud Analytics Hub
Google Cloud BigQuery
Google Cloud Platform
JavaScript
Python

Integrations Supported

GeoPandas
Google Cloud Analytics Hub
Google Cloud BigQuery
Google Cloud Platform
JavaScript
Python

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

DUG

Company Location

Australia

Company Website

dug.com/dug-insight/

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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