In this lab, you will learn about urban heat islands and how they can be calculated from satellite measurements of thermal radiation from the Earth’s surface.
Learning Outcomes
- Understanding how to derive land surface temperature.
- Understanding how to generate urban and rural references.
- Knowing how to calculate the surface urban heat island intensity.
Introduction to Theory
Urbanization involves the replacement of natural landscapes with built-up structures such as buildings, roads, and parking lots. This land cover modification also changes the properties of the land surface. These changes can range from how much radiation is reflected and absorbed by the surface to how the heat is dissipated from the surface (for example, removing vegetation for urban development reduces evaporative cooling). The changes in surface properties can modify local weather and climate (Kalnay and Cai 2003). The most-studied local climate modification due to urbanization is the urban heat island (UHI) effect (Arnfield 2003; Qian et al. 2022). The UHI is when a city is warmer than its surroundings or an equivalent surface that is not urbanized. We have known about the UHI effect for almost 200 years (Howard 1833).
Traditionally, the UHI was defined as the difference in air temperature, measured by weather stations, between a city and some rural reference outside the city (Oke 1982). One issue with this method is that different parts of the city can have different air temperatures, making it challenging to capture the UHI for the entire city. Using satellite observations in the thermal bands allows us to get another measure of temperature: the radiometric skin temperature, often known as the land surface temperature (LST). We can use LST to calculate a surface UHI (SUHI) intensity, including how it varies within cities at the pixel scale (Ngie et al. 2014). It is important to stress that the UHI values observed by satellites and those calculated using air temperature measurements can differ significantly (Chakraborty et al. 2017, Hu et al. 2019, Venter et al. 2021).
Land surface temperature can be extracted from derived products, such as the MODIS Terra and Aqua satellite products (Wan 2006), or estimated directly from measurements in the thermal band.
References
- Arnfield AJ (2003) Two decades of urban climate research: A review of turbulence, exchanges of energy and water, and the urban heat island. Int J Climatol 23:1–26. doi
- Chakraborty TC, Lee X, Ermida S, Zhan W (2021) On the land emissivity assumption and Landsat-derived surface urban heat islands: A global analysis. Remote Sens Environ 265:112682. doi
- Chakraborty TC, Sarangi C, Lee X (2021) Reduction in human activity can enhance the urban heat island: Insights from the COVID-19 lockdown. Environ Res Lett 16:54060. doi
- Chakraborty T, Hsu A, Manya D, Sheriff G (2020) A spatially explicit surface urban heat island database for the United States: Characterization, uncertainties, and possible applications. ISPRS J Photogramm Remote Sens 168:74–88. doi
- Chakraborty T, Lee X (2019) A simplified urban-extent algorithm to characterize surface urban heat islands on a global scale and examine vegetation control on their spatiotemporal variability. Int J Appl Earth Obs Geoinf 74:269–280. doi
- Chakraborty T, Sarangi C, Tripathi SN (2017) Understanding diurnality and inter-seasonality of a sub-tropical urban heat island. Boundary-Layer Meteorol 163:287–309. doi
- Clinton N, Gong P (2013) MODIS detected surface urban heat islands and sinks: Global locations and controls. Remote Sens Environ 134:294–304. doi
- Ermida SL, Soares P, Mantas V, et al (2020) Google Earth Engine open-source code for land surface temperature estimation from the Landsat series. Remote Sens 12:1471. doi
- Howard L (1833) The Climate of London: Deduced from Meteorological Observations Made in the Metropolis and at Various Places Around it. Harvey and Darton, J. and A. Arch, Longman, Hatchard, S. Highley and R. Hunter
- Hu Y, Hou M, Jia G, et al (2019) Comparison of surface and canopy urban heat islands within megacities of eastern China. ISPRS J Photogramm Remote Sens 156:160–168. doi
- Kalnay E, Cai M (2003) Impact of urbanization and land-use change on climate. Nature 425:102. doi
- Li K, Chen Y, Gao S (2022) Uncertainty of city-based urban heat island intensity across 1112 global cities: Background reference and cloud coverage. Remote Sens Environ 271:112898. doi
- Li ZL, Wu H, Wang N, et al (2013) Land surface emissivity retrieval from satellite data. Int J Remote Sens 34:3084–3127. doi
- Malakar NK, Hulley GC, Hook SJ, et al (2018) An operational land surface temperature product for Landsat thermal data: Methodology and validation. IEEE Trans Geosci Remote Sens 56:5717–5735. doi
- Ngie A, Abutaleb K, Ahmed F, et al (2014) Assessment of urban heat island using satellite remotely sensed imagery: A review. South African Geogr J 96:198–214. doi
- Oke TR (1982) The energetic basis of the urban heat island. Q J R Meteorol Soc 108:1–24. doi
- Pekel JF, Cottam A, Gorelick N, Belward AS (2016) High-resolution mapping of global surface water and its long-term changes. Nature 540:418–422. doi
- Peng S, Piao S, Ciais P, et al (2012) Surface urban heat island across 419 global big cities. Environ Sci Technol 46:6889–6890. doi
- Qian Y, Chakraborty TC, Li J, et al (2022) Urbanization impact on regional climate and extreme weather: Current understanding, uncertainties, and future research directions. Adv Atmos Sci 39:819–860. doi
- Sekertekin A, Bonafoni S (2020) Sensitivity analysis and validation of daytime and nighttime land surface temperature retrievals from Landsat 8 using different algorithms and emissivity models. Remote Sens 12:2776. doi
- Venter ZS, Chakraborty T, Lee X (2021) Crowdsourced air temperatures contrast satellite measures of the urban heat island and its mechanisms. Sci Adv 7:eabb9569. doi
- Wan Z (2006) MODIS land surface temperature products users’ guide. Inst Comput Earth Syst Sci Univ Calif St Barbar CA, USA 805
- Wickham J, Stehman SV, Sorenson DG, et al (2021) Thematic accuracy assessment of the NLCD 2016 land cover for the conterminous United States. Remote Sens Environ 257:112357. doi
- Yang Q, Huang X, Tang Q (2019) The footprint of urban heat island effect in 302 Chinese cities: Temporal trends and associated factors. Sci Total Environ 655:652–662. doi
- Yao R, Wang L, Huang X, et al (2019) Greening in rural areas increases the surface urban heat island intensity. Geophys Res Lett 46:2204–2212. doi
- Zhou D, Zhao S, Zhang L, et al (2015) The footprint of urban heat island effect in China. Sci Rep 5:1–11. doi