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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
Weather APIs are designed to provide you with precisely the information you require in your preferred format, encompassing alerts, current conditions, forecasts, weather imagery, and additional features. Acknowledging the significant influence of weather in our daily lives, we simplify the integration of extensive weather data from the most reliable forecaster into your applications, business workflows, or tailored models. Our state-of-the-art, on-demand forecasting engine drives our weather data APIs, which rely on a patented system to synthesize various weather observation data. This unique forecasting system adeptly combines multiple model inputs that are continuously verified in real-time for greater accuracy. Furthermore, our proprietary approach incorporates human forecast management, further enhancing the precision of the data provided. With our on-demand forecast engine platform, you gain access to a wide array of comprehensive weather data resources, featuring a scalable usage model that can be tailored to suit your specific requirements while ensuring reliability. This flexibility empowers users to adapt their weather data needs as they evolve over time.
API Access
Has API
API Access
Has API
Integrations
GeoPandas
Google Cloud Analytics Hub
Google Cloud BigQuery
Google Cloud Platform
JavaScript
Python
WeatherNext
Integrations
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
No price information available.
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
The Weather Company
Country
United States
Website
www.weathercompany.com/weather-data-apis/
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