Editorial Type:
Article Category: Research Article
 | 
Online Publication Date: 18 Dec 2014

Satellite Image-Based Analysis of the Greening Impact on the Formation of an Urban Heat Island (UHI) in Abu Dhabi City

and
Page Range: 91 – 101
DOI: 10.5555/arwg.17.1.q540p55865h1jr04
Save
Download PDF

Two Landsat scenes (acquired on 21 May 1986 and 19 May 2000) were used to examine differences in surface temperature inside and outside the city of Abu Dhabi and to examine a potential relationship between vegetation abundance and drop in temperatures. Land cover maps of Abu Dhabi city and its surroundings spanning the period 1986–2000 were created using multispectral classification, and vegetation abundance maps using the vegetation fraction index and surface temperature maps from Landsat were created to study their spatial relationships using GIS-based multivariate statistical analysis. Differences in surface temperature between urban areas and their non-urban surroundings were also studied to assess any urban heat island (UHI) effect. A map showing the magnitude of UHI effect was created and linked to the vegetation abundance map. Results show that the UHI effect in major UAE urban centres is minimal; however, more investigation is needed to confirm this hypothesis for other UAE cities.

Deux images Landsat, pris le 21 mai 1986 et le 19 mai 2000, ont été utilisés pour étudier les différences de température de surface dans et à l’extérieur de la ville d’Abou Dhabi et pour examiner une éventuelle relation entre l’abondance de la végétation et une diminution de la température. Des cartes de l’occupation des sols de la ville d’Abou Dhabi et de ses environs, couvrant la période 1986-2000 ont été dressées en utilisant une classification multispectrale. Des cartes de l’importance de la végétation ont été dressées à l’aide d’un indice de fraction de la végétation ainsi que des cartes de température de surface ; elles ont permis d’étudier les relations spatiales existantes en utilisant des analyses multivariées couplées avec des SIG. Les différences de température de surface entre les zones urbaines et leur environnement non-urbain ont également été étudiées afin d’évaluer l’indice calorifique urbain (UHI). Une carte montrant l’ampleur de cet effet a été extraite et mise en relation avec la carte de la carte de l’importance de la végétation. Les résultats montrent que l’effet UHI dans les grands centres urbains des Émirats arabes unis est minime ; toutefois, une enquête plus approfondie est nécessaire pour confirmer cette hypothèse pour d’autres villes des Émirats.

Al Hajeri, B.S.H. 2014. LULC change and its role in the formation of urban heat islands in desert cities: An emphasis on the vegetation-UHI interaction. Capstone Report. United Arab Emirates University.

Cao, L., Li, P., Zhang, L., and Chen, L. 2008. Remote sensing image-based analysis of the relationship between urban heat island and vegetation fraction. International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences 37 (B7):1379-83.

Chen, Y., Sui, D. Z., Fung, T., and Dou, W. 2007. Fractal analysis of the structure and dynamics of a satellite-detected urban heat island. International Journal of Remote Sensing 28:2359-66.

Gong, A., Li, J., Wang, X., Chen Y., and Hu, H. 2005. Study on temporal and spatial distribution characteristics of the urban heat island in Beijing. Geography and Geo-Information Science 2005-06.

Hamdi, R. 2010. Estimating urban heat island effects on the temperature series of Uccle (Brussels, Belgium) using remote sensing data and a land surface scheme. Remote Sensing 2:2773-84.

Huang, S., Taniguchi, M., Yamano, M., and Wang, C. 2009. Detecting urbanization effects on surface and subsurface thermal environment: A case study of Osaka. Sci. Total Environ. 407:3142-52.

Jones, P. D., Groisman, P. Y., Coughlan, M., Plummer, N., Wang, W., and Karl, T. R. 1990. Assessment of urbanization effects in time series of surface air temperature over land. Nature 347:169-72.

Kalnay, E., and Cai, M. 2003. Impact of urbanization and land-use change on climate. Nature 423:528-31.

Kealy, P. S., and Hook, S. J. 1993. Separating temperature and emissivity in thermal infrared multispectral scanner data: Implications for recovering land surface temperatures. IEEE Transactions on Geoscience and Remote Sensing 31(6):1155-64.

Lazzarini, M., Marpu, P. R., and Ghedira, H. 2013. Temperature–land cover interactions: The inversion of urban heat island phenomenon in desert city areas. Remote Sensing of Environment 130:136-52.

Li, X., Chen, F., Ye, H., Xiong, Y., Shi, L., Pan, L., and Wang, K. 2010. Trends of maximum temperature, minimum temperature and diurnal temperature range and their correlations with urbanisation in Xiamen, China. International Journal of Sustainable Development World 17:299-303.

Liu, L., and Zhang, Y. 2011. Urban heat island analysis using the Landsat TM data and ASTER data: A case study in Hong Kong. Remote Sensing 3:1535-52.

Owen, T. W., Carlson, T. N., and Gillies, R. R. 1998. An assessment of satellite remotely-sensed land cover parameters in quantitatively describing the climatic effect of urbanization. International Journal of Remote Sensing 19(9):1663-81.

Rosenzweig, C., Karoly, D., Vicarelli, M., Neofotis, P., Wu, Q., Casassa, G., Menzel, A., Root, T. L., Estrella, N., Seguin, B., Tryjanowski, P., Liu, C., Rawlins, S., and Imeson, A. 2008. Attributing physical and biological impacts to anthropogenic climate change. Nature 453:353-7.

Sheng, J., Wilson, J. P., and Lee, S. 2009. Comparison of land surface temperature (LST) modeled with a spatially-distributed solar radiation model (SRAD) and remote sensing data. Environmental Modelling and Software 24:436-43.

Tian, P., Tian, G., Wang, F., and Wang, Y. 2006. Urban heat island effect and vegetation cover index relation using Landsat TM image. Bulletin of Science and Technology 2006-05.

Voogt, J. A., and Oke, T. R. 2003. Thermal remote sensing of urban climates. Remote Sensing of Environment 86:370-84.

Weng, Q. 2001. A remote sensing-GIS evaluation of urban expansion and its impact on surface temperature in the Zhujiang Delta, China. International Journal of Remote Sensing 22:1999-2014.

Weng, Q., and Lu, D. 2008. A sub-pixel analysis of urbanization effect on land surface temperature and its interplay with impervious surface and vegetation coverage in Indianapolis, United States. International Journal of Applied Earth Observation and Geoinformation 10:68-83.

Weng, Q., and Quattrochi, D. A. 2006. Thermal remote sensing of urban areas: An introduction to the special issue. Remote Sensing of Environment 104:119-22.

Wilson, J. S., Clay, M.M.E., and Risch, K. V. 2003. Evaluating environmental influence of zoning in urban ecosystems with remote sensing. Remote Sensing of Environment 86:303-21.

Xiong, Y., Huang, S., Chen, F., Ye, H., Wang, C., and Zhu, C. 2012. The impacts of rapid urbanization on the thermal environment: A remote sensing study of Guangzhou, South China. Remote Sensing 4(7):2033-56.

Ye, H., Wang, K., Huang, S., Chen, F., Xiong, Y., and Zhao, X. 2010. Urbanisation effects on summer habitat comfort: A case study of three coastal cities in southeast China. International Journal of Sustainable Development and World Ecology 17:317-23.

Yuan, F., and Bauer, M. E. 2007. Comparison of impervious surface area and normalized difference vegetation index as indicators of surface urban heat island effects in Landsat imagery. Remote Sensing of Environment 106:375-86.

Yue, W., Xu, J., and Xu, L. 2006. An analysis on eco-environmental effect of urban land use based on remote sensing images: A case study of urban thermal environment and NDVI. Acta Ecologica Sinica 2006-05.

Zhang, Y., Odeh, I.O.A., and Han, C. 2009. Bi-temporal characterization of land surface temperature in relation to impervious surface area, NDVI and NDBI, using a sub-pixel image analysis. International Journal of Applied Earth Observation and Geoinformation 11:256-64.

  • Download PDF