- What is CREODIAS?
- Computing & Cloud
- Data & Processing
- Pricing Plans
- Fight with COVID-19
- Examples of usage
- Processing Sentinel-5P data using HARP and Python
- EO Data Access (R)evolution
- Land cover classification using remote sensing and AI/ML technology
- AI-based satellite image enhancer and mosaicking tools
- Monitoring air pollution using Sentinel-5P data
- Species classification of forests
- Enabling AI / ML workflows with CREODIAS vGPUs
- Satellite remote sensing analyses of the forest
- Satellite-based Urban Heat Island Mapping on CREODIAS
- Old but gold - historical EO data immediately available and widely used on CREODIAS
- CREODIAS for emergency fire management
- AgroTech project as an example of how CREODIAS can be used for food and environmental research
- Monitoring Air Quality of Germany in Pre vs During COVID Lockdown Period
- EO4UA
- Common Agricultural Policy monitoring with Earth Observation
- Applications of CREODIAS data
- Meteorological data usage on the CREODIAS platform
- Building added value under Horizon Europe with CREODIAS
- CREODIAS: Introduction to SAR Sentinel-1 data
- Land subsidence and landslides monitoring based on satellite data
- Satellite imagery in support of the Common Agriculture Policy (CAP) and crop statistics
- Useful tools for data processing, available on CREODIAS platform
- CREODIAS for hydrological drought modelling
- CREODIAS for managing Urban Heat Islands
- CREODIAS for Digitising Green Spaces
- CREODIAS for Air Quality
- Advanced data processors on CREODIAS
- CREODIAS for your application
- Solutions for agriculture with CREODIAS
- Earth Observation data for Emergency response
- Security Applications with Satellite Data
- Climate Monitoring with Satellite Data
- Water Analysis on CREODIAS
- CREODIAS for land and agriculture monitoring
- Solutions for atmospheric analysis
- Example of tool usage
- Processing EO Data and Serving www services
- Processing and Storing EO
- Embedding OGC WMS Services into Your website
- GPU Use Case
- Using the EO Browser
- EO Data Finder API Manual
- Use of SNAP and QGIS on a CREODIAS Virtual Machine
- Use of WMS Configurator
- DNS as a Service - user documentation
- Use of Sinergise Sentinel Hub on the CREODIAS EO Data Hub
- Load Balancer as a Service
- Jupyter Hub
- Use of CREODIAS Finder for ordering data
- ESRI ArcGIS on CREODIAS
- Use of CEMS data through CREODIAS
- Searching, processing and analysis of Sentinel-5P data on CREODIAS
- ASAR data available on CREODIAS
- Satellite remote sensing analyses of the forest
- EO Data Catalogue API Manual
- Public Reporting Dashboards
- Sentinel Hub Documentation
- Legal Matters
- FAQ
- News
- Partner Services
- About Us
- Forum
- Knowledgebase
Computing & Cloud
Billing models
Short description of the pricing model
Our price list with all services is available here.
All our services can be purchased in several main billing modes. There are three main billing modes we provide to our Tenants:
- Per usage (per hour) prepaid mode where services are billed according to every hour (or even minute) used. A User can purchase a credit to be used to provision and keep system’s resources. The credit is measured in Billing Units which are valuated to 1 Euro each for the sake of the Price List. Every 10 minutes the Tenants credit is decreased with the cost of actually used resources. This is a very flexible mode that allows to create and remove resources at will and pay only for the actually used resources. This is a mode useful for experimental and development work or for environments with very variable resources.
- Fixed term (long term contract) mode where services are bought for longer periods. In this mode a User purchases well defined Platform’s resources for well-defined periods of time. The long term resources can be paid directly or with the use of credit in Billing Units. One cannot then change these resources but on the other hand obtains much cheaper offering. This mode is preferable for long term usage of well-defined environments with well understood needs.
- Revenue sharing mode where cost of the service depends on the resource sold by the Third Party to its customer. This mode is used in data marketplace. In this mode the Platform charges a Third Party with a price equal to a fixed percentage (normally 10%) of Third Party revenues acquired from the End-user.
Additionally to the main price list we offer a special discount for the scientific institutions.
Individual negotiations
We also can offer big volume and long term service discounts which are subject of individual negotiations.
Test credit
We also offer a possibility to register in the service for all the interested parties. If a potential tenant is interested he can (after a short marketing interview) receive a small test credit to be able to test and evaluate our platform.
Each user's application for free credits will be considered on an individual basis. CloudFerro reserves the right to refuse granting free credits for any reason at any time.