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Article

Spatially Resolved Analysis of Urban Thermal Environments Based on a Three-Dimensional Sampling Algorithm and UAV-Based Radiometric Measurements †

1
Buildings Department, AEE Institute for Sustainable Technologies, 8200 Gleisdorf, Austria
2
Skyability GmbH, 7011 Gemeinde Siegendorf, Austria
*
Authors to whom correspondence should be addressed.
This paper is an extension version of the conference paper: Rüdisser, D.; Weiss, T.; Unger, L. Three-dimensional determination of thermal comfort with detailed calculation of radiation temperatures based on measurement data from drone flights. In Proceedings of the 8th Conference of IBPSA Germany and Austria, Graz University of Technology, Graz, Austria, 23–25 September 2020.
Academic Editor: Thomas Udelhoven
Sensors 2021, 21(14), 4847; https://doi.org/10.3390/s21144847
Received: 2 June 2021 / Revised: 6 July 2021 / Accepted: 14 July 2021 / Published: 16 July 2021
(This article belongs to the Special Issue Sensing for Robotics and Automation)
A new method and workflow to assess outdoor thermal comfort and thermal stress in urban areas is developed. The new methodology is applied to a case of an urban quarter in the city of Graz. The method recognises the significance of detailed and accurate spatially resolved determination of mean radiant temperatures taking into account all relevant radiative components, comprising thermal radiation, as well as global radiation. The method relies on radiometric imaging data that are mapped onto a three-dimensional model. The image data are acquired by means of drones (UAVs) equipped with multispectral and thermographic cameras to capture short- and long-wave radiation. Pre-existing city models and a Monte Carlo raytracing algorithm to perform anisotropic sampling based on a 3D model with human topology are used to determine local radiation temperatures with high spatial resolution. Along with spot measurements carried out on the ground simultaneously, the spatially resolved and three-dimensionally determined mean radiation temperatures are used to calculate thermal comfort indicator maps using UTCI and PMV calculation. Additional ground measurements are further used to validate the detection, as well as the entire evaluation process. View Full-Text
Keywords: thermal comfort; urban heat islands; mean radiant temperature; drone imaging; thermal radiation; global radiation; radiometry; perceived temperature; 3D model processing thermal comfort; urban heat islands; mean radiant temperature; drone imaging; thermal radiation; global radiation; radiometry; perceived temperature; 3D model processing
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MDPI and ACS Style

Rüdisser, D.; Weiss, T.; Unger, L. Spatially Resolved Analysis of Urban Thermal Environments Based on a Three-Dimensional Sampling Algorithm and UAV-Based Radiometric Measurements. Sensors 2021, 21, 4847. https://doi.org/10.3390/s21144847

AMA Style

Rüdisser D, Weiss T, Unger L. Spatially Resolved Analysis of Urban Thermal Environments Based on a Three-Dimensional Sampling Algorithm and UAV-Based Radiometric Measurements. Sensors. 2021; 21(14):4847. https://doi.org/10.3390/s21144847

Chicago/Turabian Style

Rüdisser, Daniel, Tobias Weiss, and Lukas Unger. 2021. "Spatially Resolved Analysis of Urban Thermal Environments Based on a Three-Dimensional Sampling Algorithm and UAV-Based Radiometric Measurements" Sensors 21, no. 14: 4847. https://doi.org/10.3390/s21144847

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