- What is CREODIAS?
- Computing & Cloud
- Data & Processing
- Pricing Plans
- Fight with COVID-19
- Examples of usage
- 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
Your Processing Environment
ASAR data available on CREODIAS
Introduction
Recently, Envisat ASAR data has been added to the CREODIAS data catalogue. The ASAR sensor was mounted on the Envisat satellite and acquired data between 2002 and 2012. Together with the precursor ERS satellites (1992-2011) and the currently active Sentinel-1 satellites (2015-present), the ASAR archive forms an important link in the total C-Band SAR archive. ASAR data is used for monitoring marine, land, snow environments as well as natural disasters, to name a few application domains. The ASAR data sets currently hosted on CREODIAS are Alternating Polarisation (APP, APS), Image Mode (IMP, IMS) and Wide Swath Single-look Complex (WSS) data sets, as these are the most popular data sets. In case CREODIAS users are interested in additional ASAR datasets on CREODIAS, please contact CREODIAS support to discuss the possibilities.
ASAR Data access
ASAR data is currently only available on CREODIAS through the ordering mechanism. Users can search the ASAR database through Finder, either through the GUI or the API access. Subsequently, a DOWNLOAD order can be placed in the Finder. The requested images will be downloaded and placed in the CREODIAS cache. The user will be notified when the images are downloaded and available.
Screenshot of CREODIAS Finder with ASAR data
Processing
The ASAR data is stored in a N1 data format. This file format can be imported by ESA SNAP, and after a few standard SAR pre-processing steps (calibration, spike filtering, terrain correction), the data is ready for further analysis.
Screenshot of ASAR data over Tunisia after pre-processing