Blue4Green Service

Heat Analysis

We identify urban heat islands, highly exposed areas and priority zones for greening, de-sealing, shading and other climate adaptation measures.

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Overview

Heat Map

Our Heatmap Service provides high-resolution insights into urban heat, air temperature, heat stress, UV exposure, and long-term temperature change. By combining satellite observations, meteorological data, and advanced machine learning models, we deliver detailed 30-meter maps that help cities, planners, infrastructure operators, and environmental teams understand where heat-related risks are most severe and how they evolve over time. The service highlights the influence of urban features such as green spaces, tree shading, transport corridors, sealed surfaces, and vegetation conditions, making complex environmental patterns easier to interpret and act upon.

The platform supports daily, weekly, monthly, annual, and historical analyses, as well as short-term forecasting for selected indicators. Users can explore surface temperature, near-ground air temperature, perceived heat stress, UV exposure, and temperature differences across time to support climate adaptation, public health planning, urban greening strategies, and risk assessment. With data available from more than three decades ago, the Heatmap Service gives decision-makers a clear, spatially detailed foundation for identifying hotspots, prioritizing interventions, and building more climate-resilient urban environments.

Example

Service example

Heat Map preview
Indicators

What can be monitored?

Air Temperature Spatial Distribution of Air Temperature is modeled at a 30-meter spatial resolution and 2-meter height from the surface by combining the Surface Temperature with Enhanced Spatial Resolution data with localized modelled wind profiles. The model also accounts for the cooling influence of tree shadows at the pixel level. Outputs are produced daily and subsequently synthesized into weekly, monthly, annual, historical air temperature maps, as well as a 3-day forecast.
Heat-Stress Index Apparent temperature, or heat-stress index, quantifies perceived heat by integrating air temperature, relative humidity, and wind speed, all of which strongly influence human thermal comfort. Elevated humidity reduces the body’s ability to cool through evaporation, thereby increasing heat stress, while higher wind speed enhances cooling and helps mitigate heat effects. This service estimates the spatial distribution of heat stress at 30-meter resolution using air temperature maps and therefore accounts for the mitigating effects of tree shading.
Surface Temperature Surface Temperature with Enhanced Spatial Resolution enables fine-scale characterization of urban features, including green spaces and transportation corridors. The enhanced-resolution product is a refined version of the original satellite measurements, which are natively acquired at 100 to 120 meters and sharpened to a 30-meter grid.
UV Index The UV index indicates the intensity of ultraviolet radiation at the Earth's surface, offering insight into potential health risks such as sunburn, eye damage, and skin cancer. This service models the UV index at a 30-meter resolution data from Copernicus/ECMWF with the shading influence of tree canopies. Daily maps are produced and can be aggregated into weekly, monthly, or yearly analysis.
Temperature Difference This service leverages the long-term Landsat missions to generate historical surface temperature products and provide additional analyses, including rate-of-change and difference maps of surface temperature and biomass. Rate-of-change maps show the temperature trend in °C per year together with normalized biomass change per year, enabling users to assess long-term environmental dynamics. Difference maps illustrate the magnitude of temperature and biomass changes for each pixel, highlighting spatial patterns of change over time.