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http://dx.doi.org/10.7848/ksgpc.2021.39.4.223

3D Thermo-Spatial Modeling Using Drone Thermal Infrared Images  

Shin, Young Ha (Dept. Geoinformation Engineering, Sejong University)
Sohn, Kyung Wahn (Dept. of Environment, Energy & Geoinformatics, Sejong University)
Lim, SooBong (DongWon Survey Consultants Co., Ltd.)
Lee, Dong-Cheon (Dept. of Environment, Energy & Geoinformatics, Sejong University)
Publication Information
Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography / v.39, no.4, 2021 , pp. 223-233 More about this Journal
Abstract
Systematic and continuous monitoring and management of the energy consumption of buildings are important for estimating building energy efficiency, and ultimately aim to cope with climate change and establish effective policies for environment, and energy supply and demand policies. Globally, buildings consume 36% of total energy and account for 39% of carbon dioxide emissions. The purpose of this study is to generate three-dimensional thermo-spatial building models with photogrammetric technique using drone TIR (Thermal Infrared) images to measure the temperature emitted from a building, that is essential for the building energy rating system. The aerial triangulation was performed with both optical and TIR images taken from the sensor mounted on the drone, and the accuracy of the models was analyzed. In addition, the thermo-spatial models of temperature distribution of the buildings in three-dimension were visualized. Although shape of the objects 3D building modeling is relatively inaccurate as the spatial and radiometric resolution of the TIR images are lower than that of optical images, TIR imagery could be used effectively to measure the thermal energy of the buildings based on spatial information. This paper could be meaningful to present extension of photogrammetry to various application. The energy consumption could be quantitatively estimated using the temperature emitted from the individual buildings that eventually would be uses as essential information for building energy efficiency rating system.
Keywords
Drone Thermal IR Image; 3D Building Modeling; Building Energy Efficiency; Thermo-spatial Model;
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1 Bendig, J., Bolten, A., and Bareth, G. (2012), Introducing a low-cost mini-UAV for thermal- and multispectral-imaging, International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Vol. 39, Part B-1, pp. 345-349.   DOI
2 Jo, H., Jang, Y., Lee, J., and Oh, J. (2021), Dense thermal 3D point cloud generation of building envelope by drone-based photogrammetry, Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, Vol. 39, No. 2, pp. 73-79.   DOI
3 Kim, Y., Oh, J. and Lee, C. (2017), Electric power line dips measurement using drone-based photogrammetric techniques, Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, Vol. 35, No. 6, pp. 453-460. (in Korean with English abstract)   DOI
4 Park, J. and Jung, K. (2021), Accuracy evaluation of earthwork volume calculation according to terrain model generation method, Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, Vol. 39, No. 1, pp. 47-54. (in Korean with English abstract)   DOI
5 Yonhap News Agency, (2021), https://news.naver.com/main/read.naver?mode=LSD&mid=shm&sid1=101&oid=001&aid=0012518684 (last date accessed: 12 July 2021)
6 Zheng, H., Zhong, X., Yan, J., Zhao, L., and Wang, X. (2020), A thermal performance detection method for building envelope based on 3D model generated by UAV thermal imagery, Energies, Vol. 13, doi: 10.3390/en13246677, 18p   DOI
7 Carrio, A., Sampedro, C., Rodriguez-Ramos, A., and Campoy, P. (2017), A review of deep learning methods and applications for unmanned aerial vehicles, Journal of Sensors, Vol. 2017, doi:10.1155/2017/3296874, 13p.   DOI
8 Arcipowska, A., Anagnostopoulos, F., Mariottini, F., and Kunkel, S. (2014), Energy Performance Certificates across the EU: A Mapping of National Approaches, Buildings Performance Institute Europe (BPIE), Brussels, Belgium, 59p.
9 Birol, F. (2017), Global Status Report 2017: Towards a Zero-emission, Efficient, and Resilient Buildings and Construction Sector, United Nations Environment Programme, 43p.
10 Borrmann, D., Elseberg, J., and Nuchter, A. (2012). Thermal 3D mapping of building facades, Proceedings of the 8th Conference on Intelligent Autonomous Systems, Vol. 192, doi:10.1007/978-3-642-33926-4_16, 10p.   DOI
11 Hankyoreh (2017), https://www.hani.co.kr/arti/society/environment/823130.html. (last date accessed: 14 December 2020)
12 Kim, E., Choi, H., and Hong, S. (2018), Generation of epipolar image from drone image using direction cosine, Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, Vol. 36, No. 4, pp. 271-277. (in Korean with English abstract)   DOI
13 Korea Energy Agency, (2016), Building Energy Efficiency Rating Certification, http://www.kemco.or.kr/web/kem_home_new/ener_efficiency/building_02.asp (last date accessed: 25 April 2021).
14 Maset, E., Fusiello, A., Crosilla, F., Toldo, R., and Zorzetto, D. (2017), Photogrammetric 3D building reconstruction from thermal images, ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume IV, Part 2/W3, International Conference on Unmanned Aerial Vehicles in Geomatics, 4-7 September 2017, Bonn, Germany, pp. 25-31.
15 Stocker, C., Bennett, R., Nex, F., , Markus Gerke, M., and Zevenbergen, J. (2017), Review of the current State of UAV regulations, Remote Sensing, Vol. 2017, No. 9, doi:10.3390/rs905045, 26p.   DOI
16 Kim, J. and Kim, B.G. (2017), Analysis of orthomosaic and DSM generation using an assembled small-sized drone, Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, Vol. 35, No. 3, pp. 195-202. (in Korean with English abstract)   DOI
17 Tucci, G., Parisi, E., Castelli, G., Errico, A., Corongiu, M., Sona, G., Viviani, E., Bresci, E., and Preti, F. (2019), Multi-sensor UAV Application for thermal analysis on a dry-stone terraced vineyard in rural tuscany landscape, ISPRS International Journal of Geo-Finformation, Vol. 8, No. 2, doi:10.3390/ijgi8020087, 21p.   DOI
18 Yoon, J., and Kim, G. (2020), 3D building mapping using drone, Proceedings of Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, Seoul, Korea, pp. 101-102. (in Korean)
19 Carrio, A., Pestana, J., Sanchez Lopez, J., Suarez-Fernandez, R., Campoy, P., Tendero, R., Garcia-De-Viedma, M., Gonzalez-Rodrigo, B., Bonatti, J., and Rejas-Ayuga, J. (2016) UBRISTES: UAV-based building rehabilitation with visible and thermal infrared remote sensing, In: Reis, L., Moreira, A., Lima, P., Montano, L., and Munoz-Martinez V. (eds), Advances in Intelligent Systems and Computing, Robot 2015: Second Iberian Robotics Conference, Vol. 417, pp. 245-256.