The Land Surface Temperature Distributions of Jeju Island using Landsat 7/ETM+ Data

  • Lee Byung-Gul (Department of Civil and Environmental Engineering, Cheju National University)
  • Published : 2005.03.01

Abstract

In this study, the estimation of the temperature distribution of Jeju Island with coastal ocean derived from the thermal band of Landsat 7/ETM+ of January 6, 2003 was carried out. For the computation of the temperature of the island and the coastal ocean based on the thermal band, we used NASA method wiich is the 8 bit Digital Number(DN) converted into spectral radiance. The computed results showed that the land temperature variations were from 0 to 12 Celsius degrees, and a good agreement with the observation ones based on the method. However, the ocean surface temperature was not much changed ground 15 degree since the water was well mixed between the coastal and the offshore ocean. The interesting results were that the temperature distributions of the southern part(Seogwipo City) of Jeju Island were higher than those of the north one(Jeju City) by more than 2 Celsius degree at the same height although the distance between the Jeju and the Seogwipo is only about 35km in winter season. The reason was found that the solar irradiance intensity of the south part was stronger than the north one by Halla mountain in winter season only. From the results, we found that the seasonal variations of solar irradiation and the height of Mt. Halla were an important role of temperature distribution of Jeju Island.

Keywords

References

  1. Barsi, J.A., Schott, J.R. Ralluconi, F.D., Helder, D.L., Hook, B.L., Chander, G. and O'Donnell, E.M., 2003, Landsat TM and ETM+ thermal band calibration, Canadian Journal of Remote Sensing, 28, 141-163
  2. Jensen, J.R,. 1996, Introductory digital image processing, Prentice-Hall, Englewood Cliffs, New Jersey, 316 p
  3. Jo, M-H., Lee, K.-J. and Jun, B.-W., 2001, The spatial topographic analysis of urban surface temperature using remote sensed data and GIS, 22nd Asian Conference on Remote Sensing Proceedings, Asian Association on Remote Sensing (AARS), 127-131
  4. Jo, M.-H., Kim, J.-B. and Kwon, B.-K., 2002, Correlation analysis of surface temperature and physical feature in mountainous area using RS and GIS, 23rd Asian Conference on Remote Sensing Proceedings, Asian Association on Remote Sensing (AARS), 25-33
  5. KMA, 2003, Monthly Weather Forecast Data. http://www.kma.go.kr
  6. Lillesand, T.M. and Kiefer, R., 2000, Remote sensing and image interpretation (4th edition), John Wiley & Sons, 724 p
  7. Sugal, Y., Yoshimura, M., Takuchi, S. and Oguro, Y., 2000, Verification of surface temperature from Landsat7/ETM+ Data, AARS 2000 Proceedings
  8. USGS, 2000, Landsat 7 Science Data Users Handbook. 560 p