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Description
At ClimateAi, our mission is to enhance profitability in agriculture and strengthen the resilience of food systems by integrating climate intelligence with advanced agronomic practices through machine learning. Our dedicated team consists of enthusiastic scientists, engineers, and agricultural entrepreneurs who share a conviction that climate change represents the most pressing challenge of our time. We assess the long-term viability of specific crops across diverse geographical areas, recognizing that merely diversifying locations does not equate to reducing climate risks. By understanding the long-term compatibility of crops, we enable breeders to make informed decisions, steering clear of underperformance. As past and current climate conditions no longer accurately reflect what lies ahead, we focus on breeding for anticipated future climates in targeted markets. Additionally, we aim to mitigate the overall risk of seasonal shortages or excess inventory by strategically selecting optimal growing regions. Our innovative approach ensures that agriculture adapts effectively to the evolving climate landscape, ultimately contributing to a more sustainable future.
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
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
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
ClimateAi
Founded
2017
Country
United States
Website
climate.ai/about/
Vendor Details
Company Name
Founded
1998
Country
United States
Website
cloud.google.com/earth-engine
Product Features
Farm Management
Barcoding / RFID
Built-in Accounting
CRM
Contract Management
Crop Management
Customer Management
Financial Management
Greenhouse Management
Inventory Management
Labor Management
Livestock Management
Order Processing
Pricing Management
Supplier Management
Traceability
Weather Records
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