- 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
Example of usage
CREODIAS for managing Urban Heat Islands
Climate change is considered to be the greatest environmental threat of the 21st century. While the urban climate changes affect the largest number of people, the urban heat island phenomenon and heatwaves are the most dangerous weather extremes. They not only damage the health of residents but also increase the energy consumption. Smart management of urban space using EO data available on CREODIAS platform, such as open and commercial satellite imagery as well as Copernicus products library, makes it possible to reduce the harmful effects of this phenomenon and contribute to improving the quality of life.
Urban Heat Island
The phenomenon of an urban surface heat island (UHI) is an obvious consequence of urban processes and it is associated with the increase of temperature of urbanized areas in relation to undeveloped rural areas. The phenomenon results from city morphology including: building density, radiation balance, width of roads, albedo, surface roughness, anthropogenic heat sources, heat capacity of massive buildings and concrete areas. Even a single building can increase the ambient temperature. The accumulation of concrete buildings and urban infrastructure causes the temperature in the city to rise from 2 to even 8ºC, and in extreme cases, even above 12ºC. In temperate latitudes, the strongest temperature amplitudes are observed on summer nights.
The most important factors contributing to the urban heat island phenomenon are:
- The environmental context of city surroundings
- City size (measured by population)
- City topography
- Water resources
- Urban green areas
- Anthropogenic heat sources
- The occurrence time of the phenomenon
All of the factors can be monitored, measured or estimated by satellite products available on the CREODIAS platform, including data archives dating back to 1984. That repository allows users to analyse changes over time and to find spatial patterns useful in the smart city management. In the Data Offer - CREODIAS users can find data illustrating changes in the structure of urban spaces, changes in land cover in 10m spatial resolution, vegetation condition, the amount of water in nature, surface temperature visualization, a radar imaging of buildings, etc.
Index created based on Landsat thermal imagery and Sentinel-2 is showing the urban heat islands in Warsaw.
Urban Heat Island affects human health and energy consumption
Heatwaves are extremely dangerous especially for people vulnerable to heat: those who suffer from chronic illnesses (for e.g. asthma, heart condition), elderly people, manual workers, children and athletes. Heatwaves are the most dangerous weather extremes that cause more casualties than hurricanes and floods.
Heat waves also increase energy consumption, intensify photochemical smog, and significantly decrease the thermal comfort of urban residents.
This phenomenon affects a significant part of the world. The projected increase of the urban population in the future will further raise both the number of people exposed to UHI and the intensity of the UHI phenomenon.
The main threats to the urban environment are:
- Health hazard for the elders and risk groups
- Higher energy consumption
- Intensification of convective processes
- Increased probability of heavy rainfall and greater exposure of cities to local flooding.
Urban green areas
The easiest and most effective way to reduce the urban heat island phenomenon and cool the urban climate is to introduce urban green areas. Vegetation contributes to the formation of shade, reflects solar radiation, and thanks to evapotranspiration processes, it effectively reduces the temperature in cities. Urban vegetation also contributes to the reduction of air and water pollution, reduces noise and accumulates large amounts of water, creating opportunities to reduce energy consumption.
Green streets of Barcelona on NDVI index, Sentinel-2
Cooling effect of urban greenery increasing the quality of walks in Barcelona during heatwave in 2021. (photo by Karim Bazzi)
Solution on CREODIAS
The CREODIAS platform allows users to search and download satellite scenes of the Sentinel and Landsat programmes at no cost, which allows you to analyse the data in order to find the areas most endangered by heat waves and the urban heat island phenomenon. These data are crucial in identifying critical areas for the microclimatic functioning of cities. CREODIAS data repository and cloud computing services enable users to automate processes and calculate large amounts of data and changes over time. The repository includes data acquired for Europe since 1984 and many ready-to-use products that make it possible to manage urban spaces more effectively. These data will help find spatial patterns whose analysis will let us better understand the phenomena occurring in urban space, and consequently, they will help create people friendly cities.
Author: Maciej Jurzyk, Data Scientist, CloudFerro