- 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
Sentinel Hub Documentation
Sentinel Hub is a multi-spectral and multi-temporal big data satellite imagery service, capable of fully automated archiving, real-time processing and distribution of remote sensing data and related EO products, managed by Sinergise Ltd. For more information on Sinergise go to Third Party Services.
Output formats
For the requests that provide image output, Sentinel-2 WMS/WMTS/WCS services can generate these output formats:
- image/png - lossless image format for 1 (grayscale) or 3 (RGB) components, with optional alpha channel (when TRANSPARENT=1)
- image/jpeg - lossy image format for 1 (grayscale) or 3 (RGB) components, without alpha channel. The quality can be controlled via the "QUALITY" URL parameter.
- image/tiff - lossless image format for any number of the components, with optional alpha channel (when TRANSPARENT=1). The precision can be selected:
- image/tiff;depth=8 - force 8-bit output
- image/tiff;depth=16 - force 16-bit output
- image/tiff;depth=32f - force 32-bit float output
Check this article to find out more on how the values are reflected in the output.
Output vector formats
For the requests that provide vector output, Sentinel-2 WMS/WMTS/WCS services can generate these output formats:
- application/x-esri-shape - zip containing shape files
- application/json - GeoJSON file
Both formats are returning polygons in vector format only in case when the image does not consists of more than 10 different values. Therefore, this formats only work with custom script layers.
Example requests
Please replace <INSTANCE_ID> with your own:
http://services.sentinel-hub.com/ogc/wms/<INSTANCE_ID>?SERVICE=WMS&REQUEST=GetMap&SHOWLOGO=false&VERSION=1.3.0&LAYERS=NDVI&MAXCC=20&WIDTH=640&HEIGHT=640&CRS=EPSG:4326&BBOX=46.697956,16.223885,46.699840,16.2276628&FORMAT=image/jpeg
http://services.sentinel-hub.com/ogc/wms/<INSTANCE_ID>?SERVICE=WMS&REQUEST=GetMap&SHOWLOGO=false&VERSION=1.3.0&LAYERS=NDVI&MAXCC=20&WIDTH=640&HEIGHT=640&CRS=EPSG:4326&BBOX=46.697956,16.223885,46.699840,16.2276628&FORMAT=application/json
application/x-esri-shape is also possible output