Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Canesis Data offers exploration professionals an economical means to access an extensive and continuously expanding collection of seismic and well data sourced from all over the world. It has compiled one of the most comprehensive assortments of non-proprietary legacy data found anywhere. The data comes from both public domain and industry sources, is refined, and made available for public purchase. Numerous datasets undergo scanning and vectorization, while others are original digital data, as specified. With a history of success, Canesis Data leverages its vast expertise to tackle the various challenges that arise in restoring legacy data, which can often be in poor condition or delicate. The company not only processes publicly available data independently but also engages in collaborative efforts in scenarios like open licensing rounds. This valuable data is available for sale to suitably qualified companies during licensing periods and is processed to meet the same high standards as proprietary services, ensuring reliability and quality for all clients. Additionally, Canesis Data continually seeks to innovate and improve its offerings, making it a trusted partner in the exploration industry.
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
No
API Access
Has API
Yes
Integrations
AlphaEarth Foundations
No
GeoPandas
No
Google Cloud Analytics Hub
No
Google Cloud BigQuery
No
Google Cloud Platform
No
JavaScript
No
Python
No
WeatherNext
No
Integrations
AlphaEarth Foundations
Yes
GeoPandas
Yes
Google Cloud Analytics Hub
Yes
Google Cloud BigQuery
Yes
Google Cloud Platform
Yes
JavaScript
Yes
Python
Yes
WeatherNext
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
$500 per month
Free Trial
No
Free Version
No
Deployment
Web-Based
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
No
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
Vendor Details
Company Name
Canesis Data
Country
United Kingdom
Website
canesis.net
Vendor Details
Company Name
Founded
1998
Country
United States
Website
cloud.google.com/earth-engine
Product Features
Product Features
GIS
3D Imagery
No
Census Data Integration
No
Color Coding
No
Geocoding
No
Image Exporting
No
Image Management
No
Internet Mapping
No
Interoperability
No
Labeling
No
Map Creation
No
Map Sharing
No
Near-Matching
No
Reverse Geocoding
No
Spatial Analysis
No