A Basic Study for the Retrieval of Surface Temperature from Single Channel Middle-infrared Images

단일 밴드 중적외선 영상으로부터 표면온도 추정을 위한 기초연구

  • 박욱 (연세대학교 이과대학 지구시스템과학과) ;
  • 이윤경 (연세대학교 이과대학 지구시스템과학과) ;
  • 원중선 (연세대학교 이과대학 지구시스템과학과) ;
  • 이승근 (국방과학연구소 영상정보체계 개발단) ;
  • 김종민 (국방과학연구소 영상정보체계 개발단)
  • Published : 2008.04.30


Middle-infrared (MIR) spectral region between 3.0 and $5.0\;{\mu}m$ in wavelength is useful for observing high temperature events such as volcanic activities and forest fire. However, atmospheric effects and sun irradiance in day time has not been well studied for this MIR spectral band. The objectives of this basic study is to evaluate atmospheric effects and eventually to estimate surface temperature from a single channel MIR image, although a typical approach utilize split-window method using more than two channels. Several parameters are involved for the correction including various atmospheric data and sun-irradiance at the area of interest. To evaluate the effect of sun irradiance, MODIS MIR images acquired in day and night times were used for comparison. Atmospheric parameters were modeled by MODTRAN, and applied to a radiative transfer model for estimating the sea surface temperature. MODIS Sea Surface Temperature algorithm based upon multi-channel observation was performed in comparison with results from the radiative transfer model from a single channel. Temperature difference of the two methods was $0.89{\pm}0.54^{\circ}C$ and $1.25{\pm}0.41^{\circ}C$ from the day-time and night-time images, respectively. It is also shown that the emissivity effect has by more largely influenced on the estimated temperature than atmospheric effects. Although the test results encourage using a single channel MR observation, it must be noted that the results were obtained from water body not from land surface. Because emissivity greatly varies on land, it is very difficult to retrieval land surface temperature from a single channel MIR data.


  1. Boyd, D. S. and F. Petitcolin, 2004. Remote sensing of the terrestrial environment using middle infrared radiation (3-5mm), International Journal of Remote sensing, 25(17): 3343-3368. https://doi.org/10.1080/01431160310001654356
  2. Griffin, M., H. Burke, and J. Kerekes, 2004. Radiative Transfer in the Midwave Infrared Applicable to Full Spectrum Atmospheric Characterization, IEEE International Geoscience and Remote Sensing Symposium '04 Proceedings, 6: 4191- 4194.
  3. Wan, Z., 1999. MODIS Land-Surface Temperature Algorithm Theoretical Basis Document (LST ATBD) Version 3.3, Institute for Computational Earth System Science University of California, Santa Barbara, CA 93106-3060.
  4. Siegert, F., B. Zhukov, D. Oertel, S. Limin, S. E. Page, and J. O. Rieley, 2004. Peat fires detected by the BIRD satellite, International Journal of Remote Sensing, 25(16): 3221-3230. https://doi.org/10.1080/01431160310001642377
  5. Berk, A., G. P. AndersonP. K. Acharya, M. L. Hoke, J. H. Chetwynd, L. S. Bernstein, E. P. Shettle, M. W. Matthew, and S. M. Adler-Golden, 2003. MODTRAN4 Version 3 Revision 1 User's Manual, Air Force Research Laboratory Space Vehicles Directorate, Air Force Materiel Command Hanscom AFB, MA 01731-3010.
  6. Wan, Z. and J. Dozier, 1996. A Generalized Split- Window Algorithm for Retrieving Land- Surface Temperature from Space, IEEE Transactions on Geoscience and Remote Sensing, 34(4): 892-905.
  7. Brown, O. B. and P. J. Minntt, 1999. MODIS Infrared Sea Surface Temperature Algorithm Algorithm Theoretical Basis Document Version 2.0., University of Miami, FL, 33149-1098.
  8. Petitcolin, F. and E. Vermote, 2002. Land surface reflectance, emissivity and temperature from MODIS middle and thermal infrared data, Remote Sensing of Environment, 83: 112-134. https://doi.org/10.1016/S0034-4257(02)00094-9
  9. Wan, Z., Y. Zhang, and Z. Li, 2002, Validation of the land-surface temperature products retrieved from Terra Moderate Resolution Imaging Spectroradiometer data, Remote Sensing of Environment, 83: 163-180. https://doi.org/10.1016/S0034-4257(02)00093-7
  10. Vermote, E. F., El N. Saleous, C. O. Justice, Y. J. Kaufman, J. L. Privette, L. Remer, J. C. Roger, and D. Tanre, 1997. Atmospheric correction of visible to middle-infrared EOSMODIS data over land surfaces: Background, operational algorithm and validation, Journal of Geophysical Research, 102(D14): 17131-17141. https://doi.org/10.1029/97JD00201