Aerial thermography for energy efficiency of buildings: the ChoT project

Emanuele Mandanici; Paolo Conte

doi:10.1117/12.2241256

26 October 2016 Aerial thermography for energy efficiency of buildings: the ChoT project

Emanuele Mandanici, Paolo Conte

Proceedings Volume 10008, Remote Sensing Technologies and Applications in Urban Environments; 1000808 (2016) https://doi.org/10.1117/12.2241256
Event: SPIE Remote Sensing, 2016, Edinburgh, United Kingdom

Abstract

The ChoT project aims at analysing the potential of aerial thermal imagery to produce large scale datasets for energetic efficiency analyses and policies in urban environments. It is funded by the Italian Ministry of Education, University and Research (MIUR) in the framework of the SIR 2014 (Scientific Independence of young Researchers) programme. The city of Bologna (Italy) was chosen as the case study. The acquisition of thermal infrared images at different times by multiple aerial flights is one of the main tasks of the project. The present paper provides an overview of the ChoT project, but it delves into some specific aspects of the data processing chain: the computing of the radiometric quantities of the atmosphere, the estimation of surface emissivity (through an object-oriented classification applied on a very high resolution multispectral image, to distinguish among the major roofing materials) and sky-view factor (by means of a digital surface model). To collect ground truth data, the surface temperature of roofs and road pavings was measured at several locations at the same time as the aircraft acquired the thermal images. Furthermore, the emissivity of some roofing materials was estimated by means of a thermal camera and a contact probe. All the surveys were georeferenced by GPS. The results of the first surveying campaign demonstrate the high sensitivity of the model to the variability of the surface emissivity and the atmospheric parameters.

Citation Download Citation

Emanuele Mandanici and Paolo Conte "Aerial thermography for energy efficiency of buildings: the ChoT project", Proc. SPIE 10008, Remote Sensing Technologies and Applications in Urban Environments, 1000808 (26 October 2016); https://doi.org/10.1117/12.2241256

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