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What is Transportation Data Analytics ?

Our flexible applications enable experts in traffic and transportation to gain vital insights, perform in-depth analyses, and share significant findings with their teams and stakeholders. Leverage a robust platform to investigate all traffic data relevant to your agency through intricate data visualizations, comprehensive reports, and automated traffic metrics. Integrate multiple data sources—such as consultant assessments, tube counts, speed sensors, and computer vision technologies—into a unified geospatial interface. Monitor and evaluate changes in travel time caused by traffic measures, construction activities, and various other influences. Access both historical and real-time travel time and speed data, facilitating seamless interaction through map-based representations and graphs. Examine crash data along with essential contextual information to derive meaningful insights without enduring tedious manual calculations, mapping, or data cleansing. Assess the impact of safety initiatives and vision zero programs over time with dynamic reporting tools that support continuous improvement of strategies aimed at enhancing road safety. With such all-encompassing resources at their disposal, transportation professionals are well-equipped to make educated decisions grounded in precise and timely information, ultimately leading to safer and more efficient roadways for everyone.

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

Integrations Supported

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

API Availability

API Availability

Has API

Pricing Information

Pricing not provided
Free Trial Offered?

Pricing Information

$500 per month

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

UrbanLogiq

Company Location

Canada

Company Website

www.urbanlogiq.com

Company Facts

Organization Name

Google

Date Founded

1998

Company Location

United States

Company Website

cloud.google.com/earth-engine

Categories and Features

GIS

Color Coding
Internet Mapping
Map Sharing

Government

Not specified

Categories and Features

Geology and Seismic

Not specified

GIS

Not specified

Weather Intelligence

Not specified

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