Evaluation of Land Surface Temperature Retrieved from MODIS Data

Article Preview

Abstract:

Land surface temperature (LST) is important factor in global climate change studies, radiation budgets estimating, city heat and others. In this paper, land surface temperature of Guangzhou metropolis was retrieved from two MODIS imageries obtained at night and during the day respectively. Firstly, pixel values were calibrated to spectral radiances according to parameters from header files. Then, the brightness temperature was calculated using Planck function. Finally, The brightness temperature retrieval maps were projected and output. Comparing two brightness temperature retrieval maps, it is concluded that the brightness temperature retrieval are more accurate at night than during the day. Comparing the profile line of brightness temperature from north to south, the brightness temperature increases from north to south. Temperature different from north to south is larger at night than during the day. The average temperature nears 18°C at night and the average temperature nears 26°C during the day, which is consistent with the surface temperature observed by automatic weather stations.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 785-786)

Pages:

1333-1336

Citation:

Online since:

September 2013

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2013 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] B. Kon Joon, and P. Seok-Soon: Evaluation of the Surface Temperature Variation With Surface Settings on the Urban Heat Island in Seoul, Korea, Using Landsat-7 ETM+ and SPOT, Geoscience and Remote Sensing Letters, IEEE, Vol. 6 (2009), pp.708-712.

DOI: 10.1109/lgrs.2009.2023825

Google Scholar

[2] M. Stathopoulou, and C. Cartalis: Downscaling AVHRR land surface temperatures for improved surface urban heat island intensity estimation, Remote Sensing of Environment, Vol. 113 (2009), pp.2592-2605.

DOI: 10.1016/j.rse.2009.07.017

Google Scholar

[3] N. Bussières, D. Verseghy, and J.I. MacPherson: The evolution of AVHRR-derived water temperatures over boreal lakes, Remote Sensing of Environment, Vol. 80 (2002), pp.373-384.

DOI: 10.1016/s0034-4257(01)00317-0

Google Scholar

[4] A. Popescu, K. Schorstein, and T. Walther: A novel approach to a Brillouin–LIDAR for remote sensing of the ocean temperature, Applied Physics B: Lasers and Optics, Vol. 79 (2004), pp.955-961.

DOI: 10.1007/s00340-004-1666-4

Google Scholar

[5] A. Barducci, and I. Pippi: Temperature and emissivity retrieval from remotely sensed images using the Grey body emissivity, method, Geoscience and Remote Sensing, IEEE Transactions on, Vol. 34 (1996), pp.681-695.

DOI: 10.1109/36.499748

Google Scholar

[6] J.A. Sobrino, J.C. Jimenez-Munoz, and L. Paolini: Land surface temperature retrieval from LANDSAT TM 5, Remote Sensing of Environment, Vol. 90 (2004), pp.434-440.

DOI: 10.1016/j.rse.2004.02.003

Google Scholar

[7] M. Kishino, J. Ishizaka, S. Saitoh, Y. Senga, and M. Utashima: Verification plan of ocean color and temperature scanner atmospheric correction and phytoplankton pigment by moored optical buoy system, Journal of Geophysical Research-Atmospheres, Vol. 102 (1997).

DOI: 10.1029/96jd04008

Google Scholar

[8] Q.H. Weng, D.S. Lu, and J. Schubring: Estimation of land surface temperature-vegetation abundance relationship for urban heat island studies, Remote Sensing of Environment, Vol. 89 (2004), pp.467-483.

DOI: 10.1016/j.rse.2003.11.005

Google Scholar

[9] J.D.E. Sabol, A.R. Gillespie, E. Abbott, and G. Yamada: Field validation of the ASTER Temperature-Emissivity Separation algorithm, Remote Sensing of Environment, Vol. 113 (2009), pp.2328-2344.

DOI: 10.1016/j.rse.2009.06.008

Google Scholar

[10] G.I. Sentlinger, S.J. Hook, and B. Laval: Sub-pixel water temperature estimation from thermal-infrared imagery using vectorized lake features, Remote Sensing of Environment, Vol. 112 (2008), pp.1678-1688.

DOI: 10.1016/j.rse.2007.08.019

Google Scholar

[11] A. Reinart, and M. Reinhold: Mapping surface temperature in large lakes with MODIS data, Remote Sensing of Environment, Vol. 112 (2008), pp.603-611.

DOI: 10.1016/j.rse.2007.05.015

Google Scholar

[12] E.T. Crosman, and J.D. Horel: MODIS-derived surface temperature of the Great Salt Lake, Remote Sensing of Environment, Vol. 113 (2009), pp.73-81.

DOI: 10.1016/j.rse.2008.08.013

Google Scholar

[13] Z. Wan: MODIS Land-Surface Temperature Algorithm Theoretical Basis Document, (1999).

Google Scholar