Urban thermal micro-mapping using satellite imagery and ground-truth measurements: Kyiv city area case study

Authors

  • Iryna Piestova Scientific Centre for Aerospace Research of the Earth Institute of Geological Science National Academy of Sciences of Ukraine, Kyiv, Ukraine https://orcid.org/0000-0003-2981-7826
  • Mykola Lubskyi Scientific Centre for Aerospace Research of the Earth Institute of Geological Science National Academy of Sciences of Ukraine, Kyiv, Ukraine https://orcid.org/0000-0002-3545-0007
  • Mykhailo Svideniuk Scientific Centre for Aerospace Research of the Earth Institute of Geological Science National Academy of Sciences of Ukraine, Kyiv, Ukraine https://orcid.org/0000-0003-2167-3522
  • Stanislav Golubov Scientific Centre for Aerospace Research of the Earth Institute of Geological Science National Academy of Sciences of Ukraine, Kyiv, Ukraine
  • Oleksandr Laptiev State University of Telecommunications, Kyiv, Ukraine

DOI:

https://doi.org/10.36023/ujrs.2019.21.149

Keywords:

city thermal regime, land surface temperature, thermal radiation emissivity, time series

Abstract

The aim of this research is to enhance approaches existing for the assessment of cities thermal conditions under climate change impact by using multispectral satellite data for Kyiv city area. This paper describes the method and results of the Earth’s surface temperature (LST) and thermal emissivity calculation. Particularly, the thermal distribution was estimated based on spectral densities according to Planck’s law for “grey bodies” by using the Landsat-8 TIRS and Sentinel-2 MSI satellite imagery. Furthermore, the result was calibrated by ground data collected during the ground-truth measurements of the typical city surfaces temperature and thermal emissivity. The spatial resolution of the LST images obtained was enhanced by using the approach of subpixel processing, that is the pairs of invariant images shifted with subpixel accuracy. As a result, such an approach allowed to enhance the spatial resolution of the image up 46%, which is much higher than the potential performance of the thermal imaging sensors existing. The interrelation between the Earth’s surface type and the temperature was revealed by the results of the Sentinel-2A MSI image of 21 August 2017 supervised classification. Thus, the image was divided into the six major classes of the urban environment: building’s rooftops, roads surface, bare soil, grass, wood, and water. As a result, surfaces with vegetation much more cool next to artificial ones. The time-series analysis of 18 thermal images (Landsat TM and Landsat-8 TIRS) of Kyiv for the period from 6 Jun 1985 till 1 June 2018 was done for spatiotemporal changes investigation. Therefore, the sites of the LST thermal anomalies caused by landscape changes were developed. Among them are the sites of increased LST where thw “Olimpiyskiy” national sport center and adjacent parking was built and the site of decreased LST where the tram depot was liquidated and the territory was flooded.

References

Bottillo, S., Vollaro, A., Galli, G., Vallati, A. (2014). Fluid dynamic and heat transfer parameters in an urban canyon. Solar Energy. 99, 1–10. https://doi.org/10.1016/j.solener.2013.10.031

Chander, G., Markham, B. L., Helder, D. L. (2009). Summary of current radiometric calibration coefficients for Landsat MSS, TM, ETM+, and EO-1 ALI sensors. Remote Sensing of Environment. 113 (5), 893–903. https://doi.org/10.1016/j.rse.2009.01.007

Denisik, G. I., Kyzyun, A. G. (2011). Residential landscapes: terms and concepts, their essence and legitimate use. Naukovi zapysky Vinnycjkogho peduniversytetu. Ser. Gheoghrafija. 22, 5–9. Retrieved from: http://nbuv.gov.ua/UJRN/Nzvdpu_geogr_2011_22_3. (in Ukrainian).

Gornyy, V. I., Kritsuk, S. G., Latypov, I. Sh., Tronin, A. A., Kiselev, A. V., Brovkina, O. V., Filippovich, V. E., Stankevich, S. A., Lubskii, N. S. (2017). Thermophysical properties of land surface in urban areas (by satellite remote sensing of Saint Petersburg and Kiev). Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa. 14 (3), 51–66. (in Russian). https://doi.org/10.21046/2070-7401-2017-14-3-51-66

Gornyy, V. I., Lyalko, V. I., Kritsuk, S. G., Latypov, I. Sh., Tronin, A. A., Filippovich, V. E., Stankevich, S. A., Brovkina, O. V., Kiselev, A. V., Davidan, T. A., Lubskyi, N. S., Krylova, A. B. (2016). Forecast of Saint-Petersburg and Kiev thermal replies on climate change (on the basis of EOS and Landsat satellite imagery). Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa. 13 (2), 176–191. (in Russian). https://doi.org/10.21046/2070-7401-2016-13-5-277-290

Hafner, J., Kidder, S. Q. (1998). Urban Heat Island Modeling in Conjunction with Satellite-Derived Surface/Soil Parameters. Journal of Applied Meteorology. 38, 448–465. https://doi.org/10.1175/1520-0450(1999)038<0448:UHIMIC>2.0.CO;2

Li, H., Meier, F., Lee, X., Chakraborty, T., Liud, J., Schaap, M., Sodoudi, S. (2018). Interaction between urban heat island and urban pollution island during summer in Berlin. Science of the Total Environment. 636, 818–828. https://doi.org/10.1016/j.scitotenv.2018.04.254

Nuruzzaman, Md. (2015). Urban Heat Island: Causes, Effects and Mitigation Measures – A Review. International Journal of Environmental Monitoring and Analysis. 3 (2), 67–73. https://doi.org/10.11648/j.ijema.20150302.15

Piestova, I., Lubskyi, M., Svideniuk, M., Golubov, S. (2017, december). Thermal micro-mapping of urban area using infrared satellite imagery. Gheoprostir-2017: materialy mizhnarodnoji nauk.-tekhn. konf, (pp. 80–82), Kyiv: KNUBA. (in Ukrainian).

Piestova, I., Lubskyi, M., Svideniuk, M., Golubov, S., Sedlacek, P. (2018). Satellite Imagery Resolution Enhancement for Urban Area Thermal Micromapping. Central European Researchers Journal. 4 (1), 35–39.

Schwarz, N., Lautenbach, S., Seppelt, R. (2011). Exploring indicators for quantifying surface urban heat islands of European cities with MODIS land surface temperatures. Remote Sensing of Environment. 115 (12), 3175–3186. https://doi.org/10.1016/j.rse.2011.07.003

Stankevich, S. A., Filippovich, V. E., Lubsky, N. S., Krylova, A. B., Kritsuk, S. G., Brovkina, O. V, Gornyi, V. I., Tronin A. A. (2015) Intercalibration of methods for restoring the thermodynamic temperature of the surface of an urbanized area based on materials of thermal space imagery. Ukrainskyi zhurnal dystantsiinoho zonduvannia Zemli. 7, 14–23. (in Russian). Retrieved from: https://ujrs.org.ua/ujrs/article/view/59/77

Stankevich, S. A., Lubskyi, M. S. (2018, April) Application of visible and NIR remote sensing data for deriving of Earth’s surface thermal fields of high spatial resolution. Proceedings of the XII conference Telecommunication problems 2018, pp. 329–331, Kyiv, Ukraine.

Stankevich, S. A., Pylypchuk, V. V., Lubskyi, M. S., Krylova, G. B. (2016). Evaluation of the accuracy of determining the temperature of artificial and natural earth surfaces based on the results of infrared satellite imagery. Kosmichna nauka i tekhnolohiia. 101 (4), 19–28. (in Ukrainian). https://doi.org/10.15407/knit2016.04.019

Tang, H., Li, Z.-L. (2014). Quantitative Remote Sensing in Thermal Infrared: Theory and Applications. Berlin: Springer-Verlag.

Urroz, G. E. (2001). Time Series and Spatial Data Analysis with SciLab. Logan: InfoClearinghouse.

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Published

2019-07-15

Issue

No. 21 (2019)

Section

Earth observation data applications: Challenges and tasks

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