Advanced SearchSearch Tips
Comparison of Surface Temperatures between Thermal Infrared Image and Landsat 8 Satellite
facebook(new window)  Pirnt(new window) E-mail(new window) Excel Download
 Title & Authors
Comparison of Surface Temperatures between Thermal Infrared Image and Landsat 8 Satellite
Cho, Chaeyoon; Jee, Joon-Bum; Park, Moon-Soo; Park, Sung-Hwa; Choi, Young-Jean;
  PDF(new window)
In order to analyze the surface temperature in accordance with the surface material, surface temperatures between Thermal InfraRed Image (TIRI) and Landsat 8 satellite observed at the commercial area (Gwanghwamun) and residential area (Jungnang) are compared. The surface temperature from TIRI had applied atmospheric correction and compared with that from Landsat 8. The surface temperatures from Landsat 8 at Gwanghwamun and Jungnang are underestimated in comparison with that from TIRI. The difference of surface temperature between the two methods is greater in summer than in winter. When the analysis area was divided into detailed regions, depending on the material and the position of the surface, correlation of surface temperature between TIRI with Landsat 8 is as low as 0.29 (Gwanghwamun) and 0.18 (Jungnang), respectively. The results were caused from the resolution difference between the two methods. While the surface temperatures of each zone from Landsat 8 were observed almost constant, high-resolution TIRI observed relatively precise surface temperatures. When the each area was averaged as one space, correlation of surface temperature between TIRIs and Landsat 8 is more than 0.95. The spatially averaged surface temperature is higher at Jungnang, representing residential areas, than at Gwanghwamun, representing commercial areas. As a result, the observation of high resolution is required in order to observe the precise surface temperature. This is because it appears that the spatial distribution of the various surface temperature in the range of micro-scale according to the conditions of the ground surface.
Surface temperature;Thermal infrared image (TIRI);Landsat 8;Emissivity;Resolution;
 Cited by
Cleugh, H.A. and T.R. Oke (1986) Suburban-rural energy balance comparisons in summer for Vancouver, B. C. Boun.-Lay. Meteorol., 36(4), 351-369. crossref(new window)

Cristobal, J., J. Jimenez-Munoz, J. Sobrino, M. Ninyerola, and X. Pons (2009) Improvements in land surface temperature retrieval from the Landsat series thermal band using water vapor and air temperature, J. Gephy. Res., 114(D8), doi:10.1029/2008JD010616. crossref(new window)

Han, S.W., J.K. Jang, and J.S. Kim (2011) Research on the surface temperature of greenery plants for the quantization of the urban heat island effects, Proc. Archi. Inst. Kor. Con., 32(2), 247-248. (in Korean with English abstract)

Jee, J.B. and Y.J. Choi (2014) Conjugation of Landsat data for analysis of the land surface properties in capital area, J. Korean Earth Sci. Soc., 35(1), 54-68. (in Korean with English abstract) crossref(new window)

Jee, J.B., K.T. Lee, and Y.J. Choi (2014) Analysis of land surface temperature from MODIS and Landsat satellite using by AWS temperature in capital area, Korean J. Remote Sens., 30(2), 315-329. (in Korean with English abstract) crossref(new window)

Jin, M., R.E. Dickinson, and D.L. Zhang (2005) The footprint of urban areas on global climate as characterized by MODIS, J. Climate, 18(10), 1551-1565. crossref(new window)

Jin, M. and S. Liang (2006) An improved land surface emissivity parameter for land surface models using global remote sensing observations, J. Climate, 19(12), 2867-2881. crossref(new window)

Kwon, T.H., M.S. Park, C.Y. Yi, and Y.J. Choi (2014) Effects of different averaging operators on the urban turbulent fluxes, J. Korean Meteor. Soc., 24(2), 197-206. (in Korean with English abstract)

Lee, J.D., K.J. Bhang, and S.H. Han (2012) Analysis of correlationship between topography and ground surface temperature using Landsat 7 ETM+ satellite data, Proc. Kor. Con. Assoc., 2012(5), 131-132. (in Korean with English abstract)

Meier, M., D. Scherer, J. Richters, and A. Christen (2011) Atmospheric correction of thermal-infrared imagery of the 3-D urban environment acquired in oblique viewing geometry, Atmos. Meas. Tech., 4(5), 909-922. crossref(new window)

Na, S.I., J.H. Park, and H.S. Shin (2008) Change detection of NDVI, surface temperature and VTCI in Saemangeum area using satellite imagery, Korean Natl. Comm. Irrigation and Drain. Jour., 15(1), 28-38.

Park, M.H. (2001) A study on the urban heat island phenomenon using Landsat TM thermal infrared data-in the case of Seoul, J. Korean Soc. Civil Eng., 21(6-D), 861-874. (in Korean with English abstract)

Ruben, U., P. Venegas, J. Guerediaga, L. Vega, J. Molleda, and G.B. Francisco (2014) Infrared Thermography for Temperature Measurement and Non-Destructive Testing, Sensors, 14(7), 12305-12348, doi:10.3390/s140712305. crossref(new window)

USGS (2015) LANDSAT 8 (L8) Data Users Handbook. Department of the Interior US Geological Survey, LSDS-1574 Version 1.0, 105 pp.

Voogt, J.A. and T.R. Oke (1997) Complete urban surface temperature, J. Appl. Meteor., 36(9), 1117-1132. crossref(new window)

Wan, Z.M. (2008) New refinements and validation of the MODIS land-surface temperature/ emissivity products, Remote Sens. Environ., 112(1), 59-74. crossref(new window)

Wan, Z. and Z.L. Li (2008) Radiance-based validation of the V5 MODIS land surface temperature product, Int. J. Remote Sens., 29(17-18), 5373-5395. crossref(new window)