Heat hazard assessment with remote sensing and ground sensor data
Suggested elective course: Weather & Climate
Heat hazard, in the form of heat waves principally affecting larger urban areas, has evolved into one of the most deadly hazard types, especially in the Global North that tends to see larger financial than human losses. Europe has experienced a number of heat events with tens of thousands of fatalities, and the true death toll will be far higher as heat-related deaths are often not recognised as such. Despite their importance, understanding and monitoring heat waves remains poorly understood, though it is the prerequisite for adequate intervention methods. In the context of the European project RiskPACC (https://www.riskpacc.eu/) we worked with the City of Padua in Italy that has been experiencing heat waves. Building on recent research by the University of Padua that used satellite imagery to quantify heat distribution based on surface temperatures (Pappalardo et al., 2023), in 2023 we installed a network of ca. 115 temperature and humidity sensors across the city that continue to record data every 15 minutes. In addition ITC worked on a digital twin of a small industrial part of the city to understand how heat reduction measures at building level, such as planting of trees, creation of water features such as ponds, or green roofing, can effectively reduce ambient temperatures (Sukma et al., 2024).
We want to continue to collaborate with Padua municipality on this topic, and logical next questions are (i) to analyse the sensor data for heat patterns over time with respect to day-night patterns and land cover/use, and against snapshot satellite observations, and (ii) to link observations to climate models, including scaling them down and looking at the expected consequences of climate change predictions. In addition we want to work with the municipality to install a limited number of sensors in indoor locations in select government-owned residential buildings to understand better the link between exterior and interior temperature and humidity as function of building type and material, solar exposure and behaviour and heat perception of residents. As such the research direction can vary according to the interests of the student, including climate modelling, data analysis, and citizen science. A visit to Padua, to work more closely with the municipality and the university, may be possible.
- BANSOD, S. D. 2024. Post-Disaster Damage and Response Assessment with PlanetScope Satellite Imagery. MSc, University of Twente.
- BRAUCHLE, J., GEßNER, M., KRAFT, T., HEIN, D., LESMEISTER, M., GONSCHOREK, J., BOCK, M. & BERGER, R. 2024. Regional Rapid Mapping for First Responders - Turkey 2023 Earthquake. Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-3/W3-2024, 15-19.
- BUZNEGO PUERTO, C., VAN DEN HOMBERG, M. J. C., MARGUTTI, J., KUNDAK, S., GOKSU, C., YıLMAZ, A., AŞıCı, A. A. & KERLE, N. Complementarity of field and remote sensing based damage assessments in the early analysis of shelter loss for the February 2023 Türkiye earthquakes. Lecture Notes in Civil Engineering, 2024. 477-489.
- PAPPALARDO, S. E., ZANETTI, C. & TODESCHI, V. 2023. Mapping urban heat islands and heat-related risk during heat waves from a climate justice perspective: A case study in the municipality of Padua (Italy) for inclusive adaptation policies. Landscape and Urban Planning, 238.
- SCHNEIBEL, A., GÄHLER, M., HALBGEWACHS, M., BERGER, R., BRAUCHLE, J., GESSNER, M., GSTAIGER, V., HEIN, D., HENRY, C., MERKLE, N. & KLEIN, D. 2023. USING EARTH OBSERVATION TO SUPPORT FIRST AID RESPONSE IN CRISIS SITUATIONS- LESSONS LEARNED FROM THE EARTHQUAKE IN TURKIYE/SYRIA (2023). 39th International Symposium on Remote Sensing of Environment (ISRSE) - From Human needs to SDGs, Apr 24-28 2023 Antalya, TURKEY. 579-586.
- SUKMA, A. I., KOEVA, M. N., RECKIEN, D., BOCKARJOVA, M., MANO, A. D. S., CANILI, G., VICENTINI, G. & KERLE, N. 2024. 3D City Digital Twin Simulation to Mitigate Heat Risk of Urban Heat Islands. 19th 3D GeoInfo Conference / 31st EG-ICE International Workshop on Intelligent Computing in Engineering, Jul 01-03 2024 Univ Vigo, Vigo, SPAIN. 129-136.
- YILMAZ, C. S., YILMAZ, V., TANSEY, K. & ALJEHANI, N. S. O. 2023. Automated detection of damaged buildings in post-disaster scenarios: a case study of Kahramanmaraş (Türkiye) earthquakes on February 6, 2023. Natural Hazards, 119, 1247-1271.