HeatMon Kick-Off

HeatMon project was initiated, to develop and refine methods for a satellite-based heatmap at high temporal and spatial resolution. The project focuses on monitoring road surface temperatures, providing climate change-related indicators for land use and spatial planning, and supporting the SDG reporting efforts of cities with climate change-related indicators

Record-breaking temperatures still on the rise! In July 2023, Central Europe experienced record-breaking air temperatures, with monthly averages 2.3°C above the long-term average for 1940-2023 (source: Copernicus Climate Change Service)

This increase in temperature as far-reaching consequences, with issues related to i.e.:

Infrastructure: pavement lifetime (cracks, softening, etc.)

• maintainace and repair

• increased cost & environmental burden

Urban planning: Urban heat island effect

• heat-related health issues; energy systems strain (e.g. more air conditioning)

• increased cost & environmental burden

Health:

• Stress on the human body, particularly infants and elderly

To address this issue, the HeatMon project was initiated, to develop and refine methods for a satellite-based heatmap at high temporal and spatial resolution. The project focuses on monitoring road surface temperatures, providing climate change-related indicators for land use and spatial planning, and supporting the SDG reporting efforts of cities with climate change-related indicators. The HeatMon project will use artificial intelligence (AI) and multi-sensor data fusion methodologies to develop a prototype algorithm for monitoring land surface temperature (LST). The project team, consisting of GeoVille GmbH, Austrian Institute of Technology, and University of Innsbruck, will collaborate with key stakeholders from the infrastructure, federal state, and city level sectors. The project aims to provide high-resolution LST data (i.e. 10 m) for various applications, including road surface temperature assessment, urban heat island research, and climate change indicator reporting. The project's outcome will offer a low-cost, high-quality solution based on open-source data streams, with potential market applications in construction, disaster management, and environmental sectors.