Impact of urbanization on urban heat island effect based on tm imagery in Wuhan, China

Environmental Engineering and Management Journal

Volumn 14, Issue 3, 2015, Pages 647-655

  Xie, Qijiao ^a   Zhou, Zhixiang ^b  

^a HUBEI UNIVERSITY   (China)

^b HUAZHONG AGRICULTURAL UNIVERSITY   (China)

Author keywords

Impervious surface area; Land surface temperature; Normalized difference vegetation index; Remote sensing; Urban thermal environment

Indexed keywords

EID: 84944318185     PISSN: 15829596     EISSN: 18433707     Source Type: Journal    
DOI: 10.30638/eemj.2015.072     Document Type: Article

References (57)

1. Arnold C.L., Gibbons C.J., (1996), Impervious surface coverage: The emergence of a key environmental indicator, Journal of the American Planning Association, 62, 243-258.
2. Artis D.A., Carnahan W.H., (1982), Survey of emissivity variability in thermography of urban areas, Remote Sensing of Environment, 12, 313-329.
3. Baker J.M., Baker D.G., (2002), Long-term ground heat flux and heat storage at a mid-latitude site, Climate Change, 54, 295-303.
4. Brazel A., Gober P., Lee S.J., Grossman-Clarke S., Zehnder J., Hedquist B., (2007), Determinants of changes in the regional urban heat island in metropolitan Phoenix (Arizona, USA) between 1990 and 2004, Climate Research, 33, 171-82.
5. Carlson T.N., Ripley D.A., (1997), On the relation between NDVI, fractional vegetation cover, and leaf area index, Remote Sensing of Environment, 62, 241-252.
6. Carlson T.N., (2012), Land use and impervious surface area by county in Pennsylvania (1985-2000) as interpreted quantitatively by means of satellite imagery, The Open Geography Journal, 5, 59-67.
7. Chander G., Markham B., (2003), Revised Landsat-5 TM radiometric calibration procedures and postcalibration dynamic ranges, IEEE Transactions on Geoscience and Remote Sensing, 41, 2674-2677.
8. 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, 893-903.
9. Choudhury B.J., Ahmed N.U., Idso S.B., Reginato R.J., Daughtry C.S.T., (1994), Relations between evaporation coefficients and vegetation indices studied by model simulations, Remote Sensing of Environment, 50, l-17.
10. Civco D.L., Hurd J.D., Wilson E.H., Arnold C.L., Prisloe, M.P, Jr, (2002), Quantifying and describing urbanizing landscapes in the northeast United States, Photogrammetric Engineering and Remote Sensing, 68, 1083-1090.
11. Deng C.B., Wu C.S., (2013), Examining the impacts of urban biophysical compositions on surface urban heat island: A spectral unmixing and thermal mixing approach, Remote Sensing of Environment, 131, 262-274.
12. Du Y., Xie Z.Q., Zeng Y., Shi Y.F., Wu J.G., (2007), Impact of urban expansion on regional temperature change in the Yangtze River Delta, Journal of Geographical Sciences, 17, 387-398.
13. Essa W., van der Kwast J., Verbeiren B., Batelaan O., (2013), Downscaling of thermal images over urban areas using the land surface temperature-impervious percentage relationship, International Journal of Applied Earth Observation and Geoinformation, 23, 95-108.
14. Fabrizi R., Bonafoni S., Biondi R., (2010), Satellite and Ground-Based Sensors for the Urban Heat Island Analysis in the City of Rome, Remote Sensing, 2, 1400-1415.
15. Frey C.M., Parlow E., (2012), Flux measurements in Cairo. Part 2: On the determination of the spatial radiation and energy balance using ASTER satellite data, Remote Sensing, 4, 2635-2660.
16. Gallo K.P., McNab A.L., Karl T.R., Brown J.F., Hood J.J., Tarpley J.D., (1993), The use of NOAA AVHRR data for assessment of the urban heat island effect, Journal of Applied Meteorology, 32, 899-908.
17. Gillies R.R., 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.
18. Gluch R., Quattrochi D.A., Luvall J.C., (2006), A multiscale approach to urban thermal analysis, Remote Sensing of Environment, 104, 123-132.
19. Gong A.D., Jiang Z.Y., Li J., Chen Y.H., Hu H.L., (2005), Urban land surface temperature retrieval based on landsat TM remote sensing images in Beijing, Remote Sensing Information, 3, 18-20.
20. Gutman G., Ignatov A., (1998), The derivation of the green vegetation fraction from NOAA/AVHRR data for use in numerical weather prediction models, International Journal of Remote Sensing, 19, 1533-1543.
21. 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, 2773-2784.
22. Huang L.M., Li J.L., Zhao D.H., Zhu J.Y., (2008), A fieldwork study on the diurnal changes of urban microclimate in four types of ground cover and urban heat island of Nanjing, China, Building and Environment, 43, 7-17.
23. Jennings D.B., Jarnagin S.T., Ebert D.W., (2004), A modeling approach for estimating watershed impervious surface area from national land cover data 92, Photogrammetric Engineering and Remote Sensing, 70, 1295-1307.
24. Jin M.S., Kessomkiat W., Pereira G., (2011), Satelliteobserved urbanization characters in Shanghai, China: aerosols, urban heat island effect, and land-atmosphere interactions, Remote Sensing, 3, 83-99.
25. Jones P.D., Groisman P.Y., Coughlan M., Plummer N., Wang W.C., Karl T.R., (1990), Assessment of urbanization effects in time-series of surface airtemperature over land, Nature, 347, 169-72.
26. Liu L., Zhang Y.Z., (2011), Urban heat island analysis using the landsat TM data and ASTER data: A case study in Hong Kong, Remote Sensing, 3, 1535-1552.
27. Lo C.P., Quattrochi D.A., Luvall J.C., (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.
28. Luber G., McGeehin M., (2008), Climate change and extreme heat events, American Journal of Preventive Medicine, 35, 429-435.
29. Lynn, B.H., Carlson T.N., Rosenzweig C., Goldberg R., Druyan L., Cox J., Gaffin S., Parshall L., Civerolo K., (2009), A modification of the NOAH LSM to simulate heat mitigation strategies in the New York City metropolitan area, Journal of Applied Meteorology and Climatology, 48, 199-216.
30. Ma Y., Kuang Y.Q., Huang N.S., (2010), Coupling urbanization analyses for studying urban thermal environment and its interplay with biophysical parameters based on TM/ETM+ imagery, International Journal of Applied Earth Observation and Geoinformation, 12, 110-118.
31. Manea D.L., Manea E.E., Robescu D.N., (2013), Study on greenhousegas emissions from wastewater treatment plants, Environmental Engineering and Management Journal, 12, 59-63.
32. Masuda K., Takashima T., Takayama Y., (1988), Emissivity of pure and sea waters for the model sea surface in the infrared window region, Remote Sensing of Environment, 24, 313-332.
33. Mohan M., Kandya A., (2015), Impact of urbanization and land-use/land-cover change on diurnal temperature range: A case study of tropical urban airshed of India using remote sensing data, Science of the Total Environment, 506-507, 453-465.
34. Nonomura A., Kitahara M., Masuda T., (2009), Impact of land use and land cover changes on the ambient temperature in a middle scale city, Takamatsu, in Southwest Japan, Journal of Environmental Management, 90, 3297-3304.
35. Oke T.R., (1982), The energetic basis of the urban heat island, Quarterly Journal of the Royal Meteorological Society, 108, 1-24.
36. Owen T.W., Carlson T.N., 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, 1663-1681.
37. Price J.C., (1990), Using spatial context in satellite data to infer regional scale evapotranspiration, IEEE Transactions on Geoscience and Remote Sensing, 28, 940-948.
38. Raynolds M.K., Comiso J.C., Walker D.A., Verbyla D., (2008), Relationship between satellite-derived land surface temperatures, arctic vegetation types, and NDVI, Remote Sensing of Environment, 112, 1884-1894.
39. Ridd M.K., (1995), Exploring a V-I-S (vegetationimpervious-surface-soil) model for urban ecosystem analysis through remote sensing: comparative anatomy for cities, International Journal of Remote Sensing, 16, 2165-2185.
40. Rinner, C.; Hussain, M., (2011), Toronto’s Urban Heat Island—Exploring the Relationship between Land Use and Surface Temperature, Remote Sensing, 3, 1251-1265.
41. Roth M., Oke T.R., Emery W.J., (1989), Satellite-derived urban heat islands from three coastal cities and utilization of such data in urban climatology, International Journal of Remote Sensing, 10, 1699-1720.
42. Tang Z., Shi C.B., Bi K.X., (2014), Impacts of land cover change and socioeconomic development on ecosystem service values, Environmental Engineering and Management Journal, 13, 2697-2705.
43. Taniguchi M., Uemura T., Sakura Y., (2005), Effects of urbanization and groundwater flow on subsurface temperature in three megacities in Japan, Journal of Geophysics and Engineering, 2, 320-5.
44. Van De Griend A.A., Owe M., (1993), On the relationship between thermal emissivity and the normalized difference vegetation index for nature surfaces, International Journal of Remote Sensing, 14, 1119-1131.
45. Voogt J.A., Oke T.R., (2003), Thermal remote sensing of urban areas, Remote Sensing of Environment, 86, 370−384.
46. 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.
47. Weng Q.H., Lu D.S., Schubring J., (2004), Estimation of land surface temperature-vegetation abundance relationship for urban heat island studies, Remote Sensing of Environment, 89, 467-483.
48. Xian G., Crane M., (2005), Assessments of urban growth in the Tampa Bay watershed using remote sensing data, Remote Sensing of Environment, 97, 203-215.
49. Xian G., Crane M., (2006), An analysis of urban thermal characteristics and associated land cover in Tampa Bay and Las Vegas using Landsat satellite data, Remote Sensing of Environment, 104, 147-156.
50. Xiao R.B., OuYang Z.Y., Zheng H., Li W.F., Schienke E.W., Wang X.K., (2007), Spatial pattern of impervious surfaces and their impacts on land surface temperature in Beijing, China, Journal of Environmental Sciences, 19, 250-256.
51. Xiong Y.Z., Huang S.P., Chen F., Ye H., Wang H., Zhu C.B., (2012), The impacts of rapid urbanization on the thermal environment: a remote sensing study of Guangzhou, South China, Remote Sensing, 4, 2033-2056.
52. Yang L., Huang C., Homer C.G., Wylie B.K., Coan M.J., (2003), An approach for mapping large-area impervious surfaces: Synergistic use of Landsat 7 ETM+ and high spatial resolution imagery, Canadian Journal of Remote Sensing, 29, 230-240.
53. Yang S. B., Zhao X. Y., Shen S. H., Hai Y. L., Fang Y.X., (2010), Characteristics of urban heat island seasonal pattern in beijing based on landsat TM / ETM+ Imagery (in Chinese), Transactions of Atmospheric Sciences, 33, 427-435.
54. Yuan F., 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, 375-386.
55. Zakšek K., Oštir K., (2012), Downscaling land surface temperature for urban heat island diurnal cycle analysis, Remote Sensing of Environment, 117, 114-124.
56. Zhang Y.S., Odeh Inakwu O.A., Han C.F., (2009), Bitemporal 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, 256-264.
57. Zheng B.J., Myint S.W., Fan C., (2014), Spatial configuration of anthropogenic land cover impacts on urban warming, Landscape and Urban Planning, 130, 104-111.