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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.
Description
Effortlessly convert your spreadsheets and data files into efficient, production-ready APIs without the need for backend coding. Simply upload your data in formats like CSV, JSONL, or Parquet, use intuitive SQL commands to clean and join your datasets, and instantly create secure and well-documented API endpoints. The platform offers various built-in functionalities, including automatically generated OpenAPI documentation, API key-based security, geospatial filtering with H3 indexing, usage analytics, and high-speed query performance. Additionally, you can download the transformed datasets at your convenience, ensuring you are not locked into any vendor. This solution accommodates everything from individual files and merged datasets to public data portals with minimal configuration required.
Key features include:
- Effortless creation of secure and documented APIs directly from CSV, JSONL, and Parquet files.
- The ability to execute familiar SQL queries for data cleaning, joining, and enrichment.
- No need for backend setup or server maintenance, making it user-friendly.
- Automatic generation of OpenAPI documentation for every endpoint established.
- Enhanced security with API key protection and isolated data storage.
- Advanced geospatial filtering, H3 indexing capabilities, and fast, scalable query optimization.
- Supports a range of data integration scenarios, making it versatile for various use cases.
API Access
Has API
API Access
Has API
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
$500 per month
Free Trial
Free Version
Pricing Details
$10/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
Founded
1998
Country
United States
Website
cloud.google.com/earth-engine
Vendor Details
Company Name
Digital Society
Founded
2023
Country
United Kingdom
Website
tapintodata.com
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