- What is CREODIAS?
- Computing & Cloud
- Data & Processing
- Pricing Plans
- Fight with COVID-19
- Examples of usage
- Applications of CREODIAS data
- 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
- Public Reporting Dashboards
- Sentinel Hub Documentation
- Integration Guides
- OGC API
- Custom Processing Scripts
- Legal Matters
- Partner Services
- About Us
Computing & Cloud
In 2017 European Space Agency, acting on behalf of the European Commission, signed a CREODIAS contract with a consortium led by Creotech Instruments S.A. which includes CloudFerro, Wroclaw Institute of Spatial Information and Artificial Intelligence (WIZIPISI), Geomatys, Eversis and Sinergise.
CREODIAS platform is a cloud infrastructure adapted to the processing of big amounts of EO data, including an EO Data storage cluster and a dedicated IaaS cloud infrastructure for the platform’s Users. The EO Data repository contains Sentinel-1, 2, 3 and 5-P, Landsat-5, 7, 8, Envisat and many Copernicus Services data. The infrastructure and the services offered are optimized for use of Earth Observation data and support scientific, operational and commercial applications.
The main idea of the CREODIAS platform is based on putting close together a big data repository and customer accessible big processing power.
The platform consists of CREODIAS Repository, CREODIAS Processing platform and Platform as a Service tools.
CREODIAS Repository contains: full repositories of Sentinel-2, 3 and 5-P, ESA/Landsat and Envisat/Meris data and partial (Europe) repository of Sentinel-1. It is now more than 9 PB of satellite data and will grow beyond 20 PB by 2020. The EO Data can be accessed via many interfaces including S3 object interface compatible with Amazon S3 standard, REST API or standard POSIX-type file access.
CREODIAS processing covers full set of virtual resources available in the solution: VM – Virtual Machines (or virtual computing servers) with several operating systems available (both free like CentOS, Ubuntu, Debian, Scientific Linux, and commercial like RedHat, SUSE, Microsoft Windows Server), virtual storage volumes that can be easily mounted to the VMs together with object storage solution, virtual networks, virtual appliances like firewalls (FWaaS) and VPN concentrators (VPNaaS), physical servers (baremetal) that can be integrated to the virtual world, Single Server VMs – full physical server with a single VM and very fast passthrough NVMe storage – a combination of advantages of a dedicated server and a cloud VM (high capacity, storage speed, no noisy neighbor problem). A common authorization and authentication solution can be used to provide single-sign-on capability to CREODIAS services.
Today processing resources consist of around 2 500 vCores (virtual CPUs) together with some 14 TByte of RAM. Local storage is based on a Ceph solution with around 10,5 PByte capacity. Resources are connected with 100 GBit/s SDN network switching.
The CREODIAS data discovery, indexing and processing solution is an element of the platform. The Finder tool allows finding data products stored in the repository, obtained or processed at selected times with selected cloud coverage levels and with other selection criteria. The Browser allows visualization and basic processing of selected data collections (like Sentinel-1 L1 GRD or Sentinel-2 L1C). The SPARQL interface provides extended search capabilities linking metadata of all products stored in the repository with various information from the Internet.