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What is VISTA?

VISTA serves as a comprehensive seismic processing and quality control tool, adept at managing data from a variety of sources, such as land, offshore, and vertical seismic profiles. This software application operates on desktop platforms and supports the entire seismic data processing workflow, ranging from initial acquisition quality assessments to the concluding stages of interpretation for both 2D and 3D datasets, while being compatible with all major industry data formats. The user-friendly interface facilitates seamless navigation through various processes, enabling users to evaluate their datasets with ease through its interconnected displays. Additionally, VISTA supports the integration of personalized algorithms via C++ or MATLAB SDK interfaces, which significantly enhances its capabilities. The software features advanced processing techniques, including amplitude versus offset (AVO) analysis, angle of incidence (AVA) evaluations, multicomponent data processing, as well as the examination of both 2D and 3D vertical seismic profiles. On top of that, it is equipped with an advanced field package that delivers thorough geometry quality control and poststack migration functionalities, providing a holistic solution for seismic data management that spans from preliminary quality checks to prestack migration and time-depth imaging analysis. With VISTA, users can optimize and expedite their seismic analysis workflows, ultimately improving their efficiency and productivity in data interpretation. This makes VISTA an essential tool in the seismic data processing landscape.

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

C++
FieldFlo
GeoPandas
Google Cloud Analytics Hub
Google Cloud BigQuery
Google Cloud Platform
JavaScript
MATLAB
Python
Windcave

Integrations Supported

C++
FieldFlo
GeoPandas
Google Cloud Analytics Hub
Google Cloud BigQuery
Google Cloud Platform
JavaScript
MATLAB
Python
Windcave

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

$500 per month
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

VISTA

Company Location

United States

Company Website

www.software.slb.com/products/vista

Company Facts

Organization Name

Google

Date Founded

1998

Company Location

United States

Company Website

cloud.google.com/earth-engine

Categories and Features

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

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