A Study on Urban Thermal Field of Shanghai Using Multi-source Remote Sensing Data

Journal of the Indian Society of Remote Sensing

Volumn 41, Issue 4, 2013, Pages 1009-1019

  Li, Cheng Fan ^a   Yin, Jing Yuan ^a  

^a SHANGHAI UNIVERSITY   (China)

Author keywords

Land Brightness Temperature (LBT); Remote sensing; Shanghai; Thermal infrared; Urban Heat Island (UHI)

Indexed keywords

BRIGHTNESS TEMPERATURE; HEAT ISLAND; LANDSAT THEMATIC MAPPER; LANDSCAPE ECOLOGY; MODIS; REMOTE SENSING; SATELLITE DATA; SPATIAL DISTRIBUTION; URBAN AREA;

CHINA; MINHANG; PUDONG; SHANGHAI; SONGJIANG;

EID: 84887990343     PISSN: 0255660X     EISSN: 09743006     Source Type: Journal    
DOI: 10.1007/s12524-013-0268-1     Document Type: Article

References (19)

1. Chen, Y. H., Shi, P. J., Li, X. B., & He, C. Y. (2002). Research on urban spatial thermal environment using remote sensing image-fractal measurement of thermal field structure and its change. Acta Geodaetica Et Cartographic Sinica, 31(4), 322-326.
2. Chen, X. L., Zhao, H. M., Li, P. X., & Yin, Z. Y. (2006). Remote sensing image-based analysis of the relationship between urban heat island and land use/cover changes. Remote Sensing of Environment, 104(2), 133-146.
3. Ding, L. D., Qin, Z. H., & Mao, K. B. (2005). A research of split window algorithm based on MODIS image data and parameter determination. Remote Sensing Technology and Application, 20(2), 284-289.
4. Jimenez-Munoz, J. C., & Sobrino, J. A. (2003). A generalized single channel method for retrieving land surface temperature from remote sensing data. Journal of Geophysical Research, 108(D22), 4688-4695.
5. Li, J. J., Wang, X. R., Wang, X. J., Ma, W. C., & Zhang, H. (2009). Remote sensing evaluation of urban heat island and its spatial pattern of the Shanghai metropolitan area, China. Ecological Complexity, 6(4), 413-420.
6. Mao, K. B., Qin, Z. H., Shi, J. C., & Gong, P. (2005). The research on split-window algorithm on the MODIS. Geomatics and Information Science of Wuhan University, 30(8), 703-707.
7. Price, J. C. (1990). Using spatial context in satellite data to infer regional scale evapotranspiration. IEEE Transactions on Geoscience and Remote Sensing, 28(5), 940-948.
8. Qin, Z. H., Dall'Olmo, G., & Karnieli, A. (2001). Derivation of split window algorithm and its sensitivity analysis for retrieving land surface temperature from NOAA-AVHRR data. Journal of Geophysical Research, 106(D19), 22655-22670.
9. Qin, Z. H., Kernieli, A., & Berliner, P. (2001). A mono-window algorithm for retrieving land surface temperature from Landsat TM data and its application to the Israel-Egypt border region. International Journal of Remote Sensing, 22(18), 3719-3746.
10. Sahin, M., Yildiz, B. Y., Senkal, O., & Pestemalci, V. (2012). Modeling and remote sensing of land surface temperature in Turkey. Journal of the Indian Society of Remote Sensing, 40(3), 399-409.
11. Sandholt, I., Rasmussen, K., & Andersen, J. (2002). A simple interpretation of the surface temperature/vegetation index space for assessment of surface moisture. Remote Sensing of Environment, 79(2-3), 213-224.
12. Srivastava, P. K., Majumdar, T. J., & Bhattacharya, A. K. (2010). Study of land surface temperature and spectral emissivity using multi-sensor satellite data. Journal of Earth System Science, 119(1), 67-74.
13. Wen, X. P., Yang, X. F., & Hu, G. D. (2011). Relationship between land cover ration and urban heat island from remote sensing and automatic weather stations data. Journal of the Indian Society of Remote Sensing, 39(2), 193-201.
14. Xiao, R. B., OUyang, Z. Y., Li, W. F., & Zhang, Z. M. (2005). A review of the eco-environmental consequences of urban heat islands. Acta Ecological Sinica, 25(8), 2055-2060.
15. Xu, H. Q., & Chen, B. Q. (2004). Remote sensing of the urban heat island and its changes in Xiamen City of SE China. Journal of Environmental Sciences, 16(2), 276-281.
16. Xu, Y. M., Qin, Z. H., & Wan, H. X. (2010). Spatial and temporal dynamics of urban heat island and their relationship with land cover changes in urbanization process: a case study in Suzhou, China. Journal of the Indian Society of Remote Sensing, 38(4), 654-663.
17. Yin, Z. E., & Xu, S. Y. (2007). Changes in land-use and land-cover and their effect on eco-environment in pudong new area of Shanghai. Resources and Environment in the Yangze Basin, 16(4), 430-434.
18. 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(3), 375-386.
19. Zha, Y., Gao, J., & Ni, S. (2003). Use of normalized difference built-up index in automatically mapping urban areas from TM imagery. International Journal of Remote Sensing, 24(3), 583-594.