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Description
Enhance the precision of your machine learning models by leveraging publicly accessible datasets. Streamline the process of data discovery and preparation with curated datasets that are not only readily available for machine learning applications but also easily integrable through Azure services. It is essential to consider real-world factors that could influence business performance. By integrating features from these curated datasets into your machine learning models, you can significantly boost the accuracy of your predictions while minimizing the time spent on data preparation. Collaborate and share datasets with an expanding network of data scientists and developers. Utilize Azure Open Datasets alongside Azure’s machine learning and data analytics solutions to generate insights at an unprecedented scale. Most Open Datasets come at no extra cost, allowing you to pay solely for the Azure services utilized, including virtual machine instances, storage, networking, and machine learning resources. This curated open data is designed for seamless access on Azure, empowering users to focus on innovation and analysis. In this way, organizations can unlock new opportunities and drive informed decision-making.
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
Integrations
AlphaEarth Foundations
GeoPandas
Google Cloud Analytics Hub
Google Cloud BigQuery
Google Cloud Platform
JavaScript
Microsoft Azure
Python
WeatherNext
Integrations
AlphaEarth Foundations
GeoPandas
Google Cloud Analytics Hub
Google Cloud BigQuery
Google Cloud Platform
JavaScript
Microsoft Azure
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
Microsoft
Founded
1975
Country
United States
Website
azure.microsoft.com/en-us/products/open-datasets/
Vendor Details
Company Name
Founded
1998
Country
United States
Website
cloud.google.com/earth-engine
Product Features
Data Management
Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge
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