Satellite Remote Sensing of Urban Heat Islands: Current Practice and Prospects

  • Qihao Weng
  • Robert C. Larson


Remote Sensing Geographic Information System Land Surface Temperature Urban Heat Island Fractional Vegetation Cover 
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  1. Artis, D. A., and W. H. Carnahan, 1982. Survey of emissivity variability in thermography of urban areas, Remote Sensing of Environment, 12:313–329.CrossRefGoogle Scholar
  2. Asrar, G., Fuchs, M., Kanemasu, E.T., and Hatfield, J.L. 1984. Estimating absorbed photosynthetic radiation and leaf area index from spectral reflectance in wheat. Agronomy Journal, 76, 300–306.Google Scholar
  3. Arvidson, T. 2002. Personal Correspondence. Landsat 7 Senior Systems Engineer, Landsat Project Science Office, Goddard Space Flight Center, Washington, D.C.Google Scholar
  4. Balling, R. C., and S. W. Brazell, 1988. High resolution surface temperature patterns in a complex urban terrain, Photogrammetric Engineering and Remote Sensing, 54:1289–1293.Google Scholar
  5. Bartolucci, L. and M. Chang. 1988. Look-up tables to convert Landsat T.M. Thermal IR data to water surface temperatures. Geocarto International 3, 61–71.Google Scholar
  6. Becker, F., and Li, Z.-L. 1990. Temperature-independent spectral indices in thermal infrared bands. Remote Sensing of Environment, 32, 17–33.CrossRefGoogle Scholar
  7. Betts, A., Ball, J., Beljaars, A., Miller, M. and Viterbo, P. 1996. The land surface-atmosphere interaction: a review based on observational and global modeling perspectives. Journal of Geophysical Research, 101(D3), 7209–7225.CrossRefGoogle Scholar
  8. Boegh, E., Soegaard, H., Hanan, N., Kabat, P., and Lesch, L. 1998. A remote sensing study of the NDVI-Ts relationship and the transpiration from sparse vegetation in the Sahel based on high resolution satellite data. Remote Sensing of Environment, 69(3), 224–240.CrossRefGoogle Scholar
  9. Byrne, G. F., 1979. Remotely sensed land cover temperature and soil water status — a brief review, Remote Sensing of Environment, 8:291–305.CrossRefGoogle Scholar
  10. Campbell, J.B. 2002. Introduction to Remote Sensing (Third Edition). New York: The Guilford Press.Google Scholar
  11. Carnahan, W. H., and R. C. Larson, 1990. An analysis of an urban heat sink, Remote Sensing of Environment, 33:65–71.CrossRefGoogle Scholar
  12. Carson, T.N., Gillies, R.R. and E. M. Perry. 1994. A method to make use of thermal infrared temperature and NDVI measurements to infer surface soil water content and fractional vegetation cover. Remote Sensing Review, 9: 161–173.Google Scholar
  13. Cassels, V., Sobrino, J. A., and C. Coll, 1992a. On the use of satellite thermal data for determining evapotranspiration in partially vegetated areas, International Journal of Remote Sensing, 13:2669–2682.Google Scholar
  14. Cassels, V., Sobrino, J. A., and C. Coll, 1992b. A physical model for interpreting the land surface temperature obtained by remote sensors over incomplete canopies, Remote Sensing of Environment, 39:203–211.CrossRefGoogle Scholar
  15. Caselles, V., Coll, C., Valor, E., and Rubio, E., 1995. Mapping land surface emissivity using AVHRR data: application to La Mancha, Spain. Remote Sensing Review, 12, 311–333.Google Scholar
  16. Dash, P., Gottsche, F.-M., Olesen, F.-S. and Fischer, H. 2002. Land surface temperature and emissivity estimation from passive sensor data: theory and practice-current trends. International Journal of Remote Sensing, 23(13), 2563–2594.CrossRefGoogle Scholar
  17. De Cola, L., 1989. Fractal analysis of a classified Landsat scene, Photogrammetric Engineering and Remote Sensing, 55(5):601–610.Google Scholar
  18. DeWitt, J. and M. Brennan. 2001. Taking the Heat, Imaging Notes 16(6): 20–23.Google Scholar
  19. Emerson, C.W., Lam, N.S.N., and D.A. Quattrochi, 1999. Multi-scale fractal analysis of image texture and pattern, Photogrammetric Engineering and Remote Sensing, 65(1):51–61.Google Scholar
  20. Franca, G.B. and Cracknell, A.P. 1994. Retrieval of land and sea surface temperature using NOAA-11 AVHRR data in north-eastem Brazil. International Journal of Remote Sensing, 15, 1695–1712.Google Scholar
  21. Friedl, M.A. (2002). Forward and inverse modeling of land surface energy balance using surface temperature measurements. Remote Sensing of Environment, 79, 344–354.CrossRefGoogle Scholar
  22. Friedl, M.A. and Davis, F.W. 1994. Sources of variation in radiometric surface temperature over a tallgrass prairie. Remote Sensing of Environment, 48, 1–17.CrossRefGoogle Scholar
  23. Frohn, R. C. 1998. Remote Sensing for Landscape Ecology. Boca Raton, FL: Lewis Publishers.Google Scholar
  24. Gallo, K.P., McNab, A.L., Karl, T.R., Brown, J.F., Hood, J.J., and J.D. Tarpley, 1993. The use of NOAA AVHRR data for assessment of the urban heat island effect, Journal of Applied Meteorology, 32:899–908.CrossRefGoogle Scholar
  25. Gallo, K.P. and T.W. Owen. 1998. Assessment of urban heat island: a multisensor perspective for the Dallas-Ft. Worth, USA region. Geocarto International, 13(4): 35–41.Google Scholar
  26. Gallo, K.P., J.D. Tarpley, A.L. McNab, and T.R. Karl. 1995. Assessment of urban heat islands: a satellite perspective”, Atmospheric Research, 37: 37–43.CrossRefGoogle Scholar
  27. Gillespie, A.R. 1985. Lithologic mapping of silicate rocks using TIMS. Proceedings TIMS Data User’s Workshop (Pasadena, CA: Jet Propulsion Laboratory), JPL Pub. 86–38, pp.29–44.Google Scholar
  28. Gillespie, A.R., Rokugawa, S., Matsunaga, T., Cothern, J.S., Hook, S.J., and Kahle, A.B. 1998. A temperature and emissivity separation algorithm for advanced spaceborne thermal emission and reflection radiometer (ASTER) images. IEEE Transactions on Geoscience and Remote Sensing, 36, 1113–1126.CrossRefGoogle Scholar
  29. Gillies, R.R., and Carlson, T.N., 1995, Thermal remote sensing of surface soil water content with partial vegetation cover for incorporation into climate models. Journal of Applied Meteorology, 34, 745–756.CrossRefGoogle Scholar
  30. Gillies, R.R., Carlson, T.N., Cui, J., Kustas, W.P., and Humes, K.S., 1997, A verification of the ‘triangle’ method for obtaining surface soil water content and energy fluxes from remote measurements of the Normalized Difference Vegetation index (NDVI) and surface radiant temperature. International Journal of Remote Sensing, 18, 3145–3166.CrossRefGoogle Scholar
  31. Goetz, S.J. 1997. Multisensor analysis of NDVI, surface temperature and biophysical variables at a mixed grassland site. International Journal of Remote Sensing, 18(1), 71–94.CrossRefGoogle Scholar
  32. Goward, S.N., Xue, Y. and K.P. Czajkowski. 2002. Evaluating land surface moisture conditions from the remotely sensed temperature/vegetation index measurements: an exploration with the simplified simple biosphere model. Remote Sensing of Environment, 79, 225–242.CrossRefGoogle Scholar
  33. Jasinski, M.F. 1990. Sensitivity of the Normalized Difference Vegetation Index to subpixel canopy cover, soil albedo, and pixel scale. Remote Sensing of Environment, 32:169–187.CrossRefGoogle Scholar
  34. Karl, T.R., H.F. Diaz, and G. Kukla. 1988. Urbanization: Its detection and effect in the United States climate record. Journal of Climate 1: 1099–1123.CrossRefGoogle Scholar
  35. Kealy, P.S. and Gabell, A.R. 1990. Estimation of emissivity and temperature using alpha coefficients. Proceedings of Second TIMS Workshop (Pasadena, CA: Jet Propulsion Laboratory), JPL Pub. 90–95, pp.11–15.Google Scholar
  36. Kidder, S.Q., and H.T. Wu, 1987. A multispectral study of the St. Louis area under snow-covered conditions using NOAA-7 AVHRR data, Remote Sensing of Environment, 22:159–172.CrossRefGoogle Scholar
  37. Kim, H.H., 1992. Urban heat island, International Journal of Remote Sensing, 13(12):2319–2336.Google Scholar
  38. Kimes, D.J., 1983. Remote sensing of row crop structure and component temperatures using directional radiometric temperatures and inversion techniques, Remote Sensing of Environment, 13:33–55.CrossRefGoogle Scholar
  39. Lam, N.S.N., 1990. Description and measurement of Landsat TM images using fractals, Photogrammetric Engineering and Remote Sensing, 56(2):187–195.Google Scholar
  40. Lam, N.S.N., Qiu, H., Quattrochi, D.A. and C. W. Emerson, 2002. An evaluation of fractal methods for characterizing image complexity, Cartography and Geographic Information Science, 29(1):25–35.Google Scholar
  41. Lambin, E.F. and D. Ehrlich. 1996. The surface temperature-vegetation index space for land cover and land-cover change analysis, International Journal of Remote Sensing, 17, 463–487.Google Scholar
  42. Landsberg, H.E.1981. The Urban Climate. New York: Academic Press.Google Scholar
  43. Larson, R.C. and W.H. Carnahan, 1997. The influence of surface characteristics on urban radiant temperatures, Geocarto International, 12(3):5–16.Google Scholar
  44. Lillesand, T.M. and R.W. Kiefer. 2000. Remote Sensing and Image Interpretation, John Wiley and Sons, New York, p. 330.Google Scholar
  45. Lo, C.P., Quattrochi, D.A. and J.C. Luvall, 1997. Application of high-resolution thermal infrared remote sensing and GIS to assess the urban heat island effect, International Journal of Remote Sensing, 18:287–304.CrossRefGoogle Scholar
  46. Mather, A. S., 1986, Land Use (London: Longman).Google Scholar
  47. Nichol, J.E., 1994. A GIS-based approach to microclimate monitoring in Singapore’s high-rise housing estates, Photogrammetric Engineering and Remote Sensing, 60:1225–1232.Google Scholar
  48. Nichol, J.E., 1996. High-resolution surface temperature patterns related to urban morphology in a tropical city: a satellite-based study. Journal of Applied Meteorology, 35(1): 135–146.CrossRefGoogle Scholar
  49. Oke, T.R., 1979. Technical Note No. 169: Review of Urban Climatology, World Meteorological Organization, Geneva, Switzerland, 43 p.Google Scholar
  50. Oke, T.R. 1982. The energetic basis of the urban heat island. Quarterly Journal of the Royal Meteorological Society, 108, 1–24.CrossRefGoogle Scholar
  51. Oke, T.R., Johnson, G.T., Steyn, D.G. and I.D. Watson. 1991. Simulation of surface urban heat islands under ideal conditions at night. Part 2: Diagnosis of causation. Boundary Layer Meteorology, 56, 339–358.Google Scholar
  52. Owen, T.W., Carlson, T.N. and R.R. Gillies. 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), 1663–1681.CrossRefGoogle Scholar
  53. Prata, A.J. 1993. Land surface temperatures derived from the advanced very high resolution radiometer and the along-track scanning radiometer 1. Theory. Journal of Geophysical Research, 98, 16689–16702.Google Scholar
  54. Prata, A.J., Caselles, V., Coll, C., Sobrino, J.A. and Ottle, C. 1995. Thermal remote sensing of land surface temperature from satellites: current status and future prospects. Remote Sensing Reviews, 12, 175–224.Google Scholar
  55. Qiu, H.L., Lam, N.S.N., Quattrochi, D.A., and J.A. Gamon, 1999. Fractal characterization of hyperspectral imagery, Photogrammetric Engineering and Remote Sensing, 65(1):63–71.Google Scholar
  56. Quattrochi, D.A., and N.S. Goel, 1995. Spatial and temporal scaling of thermal remote sensing data, Remote Sensing Review, 12:255–286.Google Scholar
  57. Quattrochi, D.A., and J.C. Luvall, 1999. High Spatial Resolution Airborne Multispectral Thermal Infrared Data to Support Analysis and Modeling Tasks in the EOS IDS Project ATLANTA, URL:, Global Hydrology and Climate center, NASA, Huntsville, Alabama (last date accessed: 1 June 2003).Google Scholar
  58. Quattrochi, D.A. and M.K. Ridd, 1994. Measurement and analysis of thermal energy responses from discrete urban surfaces using remote sensing data, International Journal of Remote Sensing, 15(10):1991–2022.Google Scholar
  59. Quattrochi, D.A. and M.K. Ridd, 1998. Analysis of vegetation within a semi-arid urban environment using high spatial resolution airborne thermal infrared remote sensing data, Atmospheric Environment, 32(1):19–33.CrossRefGoogle Scholar
  60. Roth, M., Oke, T.R. and W.J. Emery, 1989. Satellite derived urban heat islands from three coastal cities and the utilisation of such data in urban climatology, International Journal of Remote Sensing, 10:1699–1720.Google Scholar
  61. Sandholt, I., Rasmussen, K. and J. Andersen. 2002. A simple interpretation of the surface temperature/vegetation index space for assessment of surface moisture status. Remote Sensing of Environment, 79, 213–224.CrossRefGoogle Scholar
  62. Schmugge, T., Hook, S.J. and C. Coll. 1998. Recovering surface temperature and emissivity from thermal infrared multispectral data. Remote Sensing of Environment, 65, 121–131.CrossRefGoogle Scholar
  63. Small, C. 2001. Estimation of urban vegetation abundance by spectral mixture analysis. International Journal of Remote Sensing, 22(7), 1305–1334.CrossRefGoogle Scholar
  64. Snyder, W.C., Wan, Z., Zhang, Y. and Feng, Y.-Z., 1998. Classification-based emissivity for land surface temperature measurement from space. International Journal of Remote Sensing, 19(14), 2753–2774.CrossRefGoogle Scholar
  65. Sobrino, J.A. and N. Raissouni. 2000. Toward remote sensing methods for land cover dynamic monitoring: application to Morocco. International Journal of Remote Sensing, 21(2), 353–366.CrossRefGoogle Scholar
  66. Streutker, D.R. 2002. A remote sensing study of the urban heat island of Houston, Texas. International Journal of Remote Sensing, 23(13), 2595–2608.CrossRefGoogle Scholar
  67. Streutker, D.R. 2003. Satellite-measured growth of the urban heat island of Houston, Texas. Remote Sensing of Environment, 85, 282–289.CrossRefGoogle Scholar
  68. Valor, E., and Caselles, V. 1996. Mapping land surface emissivity from NDVI: Application to European, African, and South American areas. Remote Sensing of Environment, 57, 167–184.CrossRefGoogle Scholar
  69. Watson, K. 1992. Spectral ratio method for measuring emissivity. Remote Sensing of Environment, 42, 113–116.CrossRefGoogle Scholar
  70. Welch, R., T. Jordan, H. Lang, and H. Murakami, 1998, ASTER as a source for topographic data in the late 1990’s, IEEE Transactions on Geoscience and Remote Sensing, 36(4): 1282–1289.CrossRefGoogle Scholar
  71. 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(10):1999–2014.Google Scholar
  72. Weng. Q. 2003. Fractal analysis of satellite-detected urban heat island effect. Photogrammetric Engineering and Remote Sensing, 69(5): 555–566.Google Scholar
  73. Yang, W., Yang, L. and J.W. Merchnat. 1997. An analysis of AVHRR/NDVI-ecoclimatological relations in Nebraska, U.S.A. International Journal of Remote Sensing, 18(10):2161–2180.CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Qihao Weng
    • 1
  • Robert C. Larson
    • 1
  1. 1.Department of Geography, Geology, and AnthropologyIndiana State UniversityTerre Haute

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