- 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
Fighting with COVID-19
Free credit offer to fight the COVID-19 pandemic
We offer free Credit of 500 EUR to use Creodias.eu computing and storage resources, along with free access to Earth Observation data, for new projects aimed at fighting the COVID-19 pandemic.
How to apply
- Please register on the Creodias platform via form and send an email to sales@creodias.eu, providing information about the goal of the project and a brief description of the project.
- We reserve the right to review the project and make the final decision on granting free credit.
- CloudFerro support team will provide help and instructions if needed during onboarding of new projects.
- More info: sales@creodias.eu
VHR imagery on preferential terms to fight the COVID-19 pandemic
We offer very high resolution imagery and video from Chinese constellation Jilin-1 provided on very preferential terms for new projects aimed at fighting the COVID-19 pandemic. Imagery of project owners choice (please see below).
How to apply
- You can order data on preferential terms via manual process: sales@creodias.eu; please provide information about the goal of the project and a brief description of the project in your message.
- We reserve the right to review the project and make the final decision on granting special conditions.
- There are two types of data available: archive (older than 90 days) and tasking (future acquisition and data not older than 90 days).
- For archive data users need to provide the area of interest (AOI) in .kml .kmz format.
- New tasking images can be provided with 3 days revisit cycle of satellites. In order to determine the exact availability and feasibility of providing specific data, users need to provide the AOI in .kml .kmz format and the type of data (such as spectral band, spatial resolution).
- More information: constellation Jilin-1.
- See video recorded directly from one of the satellites.
VHR imagery for cumulated 1500 sq km sponsored by CloudFerro
CloudFerro will sponsor very high resolution imagery of cumulated 1500 square kilometres from Chinese constellation Jilin-1 for the projects aimed at fighting the COVID-19 pandemic.
Imagery of project owners choice (please see below).
How to apply
- You can submit your project by mail: sales@creodias.eu; please provide information about the goal of the project and a brief description of the project in your message.
- We reserve the right to review the project and make the final decision on granting free VHR imagery.
- There are two types of data available: archive (older than 90 days) and tasking (future acquisition and data not older than 90 days).
- For archive data users need to provide the area of interest (AOI) in .kml .kmz format.
- New tasking images can be provided with 3 days revisit cycle of satellites. In order to determine the exact availability and feasibility of providing specific data, users need to provide the AOI in .kml .kmz format and the type of data (such as spectral band, spatial resolution).