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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

GeoThrust features a sophisticated workflow architecture aimed at generating precise earth models and images over time and depth, utilizing data captured with irregular geometries in challenging terrains characterized by complex near-surface and subsurface conditions, all while adhering to exceptionally high standards for data analysis and quality control, yet remaining user-friendly and accessible for new users. The estimation of the near-surface model is conducted through nonlinear tomography that leverages first-arrival times, effectively taking topographical variations into account and accurately delineating both lateral and vertical velocity changes. In addition to applying statics corrections, the near-surface adjustments are executed through wavefield dating, which is crucial for effective imaging in areas with irregular landscapes. Furthermore, GeoThrust adeptly carries out subsurface velocity estimation, modeling, and imaging based on topographical data rather than a flat datum, employing both rms and interval velocities determined at reflector positions instead of mere reflection points. This innovative approach ensures that GeoThrust is not only powerful but also versatile, enabling geoscientists to tackle a wide range of geological challenges with confidence.

Description

Google Earth Engine serves as a cloud-centric platform designed for the scientific examination and visualization of geospatial data, granting users access to an extensive public archive containing over 90 petabytes of analysis-ready satellite imagery alongside more than 1,000 carefully curated geospatial datasets. This rich collection boasts over five decades of historical imagery that is refreshed daily, with pixel resolutions reaching as fine as one meter, showcasing datasets from sources such as Landsat, MODIS, Sentinel, and the National Agriculture Imagery Program (NAIP). Through its web-based JavaScript Code Editor and Python API, Earth Engine empowers users to perform analyses on Earth observation data while employing machine learning techniques, thereby enabling the creation of sophisticated geospatial workflows. The platform's seamless integration with Google Cloud facilitates large-scale parallel processing, allowing for thorough analyses and efficient visualization of Earth data. Furthermore, Earth Engine's compatibility with BigQuery enhances its capabilities, making it a versatile tool for users in various fields. This unique combination of features positions Google Earth Engine as an essential resource for researchers and professionals working with geospatial information.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

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

Integrations

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

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

$500 per month
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

GeoTomo

Website

geotomo.com/GeoThrust.dmx

Vendor Details

Company Name

Google

Founded

1998

Country

United States

Website

cloud.google.com/earth-engine

Product 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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