Beijing urban spatial distribution and resulting impacts on heat Islands

Landscape Ecological Applications in Man-Influenced Areas: Linking Man and Nature Systems

Volumn , Issue , 2007, Pages 459-478

  Ouyang, Z ^a   Xiao, R B ^a   Schienke, E W ^b   Li, W F ^a   Wang, X ^a   Miao, H ^a   Zheng, H ^a  

^a RESEARCH CENTER FOR ECO ENVIRONMENTAL SCIENCES   (China)

^b RENSSELAER POLYTECHNIC INSTITUTE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 77953130376     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1007/1-4020-5488-2_27     Document Type: Chapter

References (21)

1. Artis, D.A. and Carnahan, W.H. (1982). Survey of emissivity variability in thermography of urban areas. Remote Sensing of Environment, 12, 313-329.
2. Carlson, T.N. and Ripley, D.A. (1997). On the relation between NDVI, fractional vegetation cover, and leaf area index. Remote Sensing of Environment, 62, 241-252.
3. Chander, G. and Markham, B. (2003). Revised Landsat-5 TM radiometric calibration procedures and postcalibration dynamic ranges. Ieee Transactions on Geoscience and Remote Sensing, 41, 2674-2677.
4. Cheng, F. and Thiel, K.H. (1995). Delimiting the building heights in a city from the shadow in a panchromatic SPOT-Image -Part 1. Test of forty-two buildings. International Journal of Remote Sensing, 16, 409-415.
5. Congalton, R.G. (1991). A review of assessing the accuracy of classifications of remotely sensed data. Remote Sensing of Environment, 37, 35-46.
6. Dousset, B. and Gourmelon, F. (2003). Satellite multi-sensor data analysis of urban surface temperatures and landcover. ISPRS Journal of Photogrammetry and Remote Sensing, 58, 43-54.
7. Liu, R.X., Kuang, J., Gong, Q. and Hou, X.L. (2003). Principal component regression analysis with SPSS. Computer Methods and Programs in Biomedicine, 71, 141-147.
8. Markham, B.L. and Barker, J.K. (1985). Spectral characteristics of the Landsat Thematic Mapper sensors International Journal of Remote Sensing, 6, 697-716.
9. Montgomery, D.C. and Peck, E.A. (1992). Introduction to Linear Regression Analysis. John Wiley & Sons, New York.
10. Nichol, J. (2005). Remote sensing of urban heat islands by day and night. Photogrammetric Engineering and Remote Sensing, 71, 613-621.
11. Smith, A.J. (2000). Subpixel estimates of impervious surface cover using Landsat TM Imagery. In Geography Department, vol. M.A. Scholarly Paper: University of Maryland, College Park.
12. Sobrino, J.A., Jimenez-Munoz, J.C. and Paolini, L. (2004). Land surface temperature retrieval from LANDSAT TM 5. Remote Sensing of Environment, 90, 434-440.
13. Song, Y.L. and Zhang, S.Y. (2003). The study on heat island effect in Beijing during last 40 years. Chinese Journal of Eco-Agriculture, 11, 126-129.
14. Streutker, D.R. (2003). Satellite-measured growth of the urban heat island of Houston, Texas. Remote Sensing of Environment, 85, 282-289.
15. Unger, J., Sumeghy, Z., Gulyas, A., Bottyan, Z. and Mucsi, L. (2001). Land-use and meteorological aspects of the urban heat island. Meteorological Applications, 8, 189-194.
16. Voogt, J. A. and Oke, T. R. (1998). Effects of urban surface geometry on remotely-sensed surface temperature. International Journal of Remote Sensing, 19, 895-920.
17. 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.
18. Weng, Q., Lu, D. and Schubring, J. (2004). Estimation of land surface temperature-vegetation abundance relationship for urban heat island studies. Remote Sensing of Environment, 89, 467-483.
19. Xiao, R., Ouyang, Z., Li, W., Zhang, Z. and Gregory, T.-J. (2005). A review of the eco-environmental consequences of urban heat islands. Acta Ecologica Sinica, 25, 2055-2060.
20. Yang, L. M., Xian, G., Klaver, J. M. and Deal, B. (2003). Urban land-cover change detection through sub-pixel imperviousness mapping using remotely sensed data. Photogrammetric Engineering and Remote Sensing, 69, 1003-1010.
21. Yang, X. and Liu, Z. (2005). Use of satellite-derived landscape imperviousness index to characterize urban spatial growth. Computers, Environment and Urban Systems, 29, 524-540.