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http://dx.doi.org/10.7780/kjrs.2008.24.1.65

A Comparative Study of Algorithms for Estimating Land Surface Temperature from MODIS Data  

Suh, Myoung-Seok (Department of Atmospheric Science, Kongju National University)
Kim, So-Hee (Department of Atmospheric Science, Kongju National University)
Kang, Jeon-Ho (Department of Atmospheric Science, Kongju National University)
Publication Information
Korean Journal of Remote Sensing / v.24, no.1, 2008 , pp. 65-78 More about this Journal
Abstract
This study compares the relative accuracy and consistency of four split-window land surface temperature (LST) algorithms (Becker and Li, Kerr et ai., Price, Ulivieri et al.) using 24 sets of Terra (Aqua)/Moderate Resolution Imaging Spectroradiometer (MODIS) data, observed ground grass temperature and air temperature over South Korea. The effective spectral emissivities of two thermal infrared bands have been retrieved by vegetation coverage method using the normalized difference vegetation index. The intercomparison results among the four LST algorithms show that the three algorithms (Becker-Li, Price, and Ulivieri et al.) show very similar performances. The LST estimated by the Becker and Li's algorithm is the highest, whereas that by the Kerr et al.'s algorithm is the lowest without regard to the geographic locations and seasons. The performance of four LST algorithms is significantly better during cold season (night) than warm season (day). And the LST derived from Terra/MODIS is closer to the observed LST than that of Aqua/MODIS. In general, the performances of Becker-Li and Ulivieri et al algorithms are systematically better than the others without regard to the day/night, seasons, and satellites. And the root mean square error and bias of Ulivieri et al. algorithm are consistently less than that of Becker-Li for the four seasons.
Keywords
Land surface temperature; split-window algorithm; MODIS;
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1 Kerr, Y. H., J. P Lagouarde, and J. Imbernon, 1992. Accurate land surface temperature retrieval from AVHRR data with use of an improved split window, Remote Sensing of Environment, 41: 197-209.   DOI   ScienceOn
2 Price, J. C., 1984. Land surface temperature measurements from the split window channels of the NOAA-7 Advanced Very High Resolution Radiometer. Journal of Geophysical Research, 89: 7231-7237.   DOI
3 Sikorski, R. J. and P. S. Kealy, 2002. Land surface temperature - Visible/infrared imager/ radiometer suite algorithm theoretical basis document v5.0, Raytheon Systems Company, 35pp.
4 Wan, Z. and J. Dozier, 1996. A generalized splitwindow algorithm for retrieving of land surface temperature from space, IEEE Trans. Geosci. Remote Sensing, 34: 892-905.   DOI   ScienceOn
5 Wan, Z., Zhanga, Y., Zhanga, Q., and Li, Z.-L., 2005. Validation of the land-surface temperature products retrieved from Terra Moderate Resolution Imaging Spectroradiometer data, Remote Sensing of Environment, 83: 163-180.
6 Saunders, R. W. and K. T. Kriebel, 1988. An improved method for detecting clear sky and cloudy radiances from AVHRR data. Int. J. Remote Sens., 9: 123-150.   DOI   ScienceOn
7 Coll, C., Caselles, T. V., Galve, J. M., Valor, E., Niclo's, R., Sanchez, J. M., and Rivas, R., 2005. Ground measurements for the validation of land surface temperatures derived from AATSR and MODIS data Remote Sensing of Environment, 97: 288 - 300.   DOI   ScienceOn
8 Ulivieri, C., M. M. Castronouvo, R. Francioni, and A. Cardillo, 1994. A split-window algorithm for estimating land surface temperature from satellites. Advances in Space Research, 14(3): 59-65.   DOI   ScienceOn
9 Becker, F. and Z.-L. Li, 1990. Toward a local split window method over land surface. Int. J. Remote Sens., 3: 369-393.
10 Kang, J.-H., M.-S. Suh, C.-H. Kwak, and Y.-S. Lee, 2005. 10. 27-28, Classification of land cover over Korean Peninsula using MODIS data, Proceedings of Korean Meteorological Society, 400-401pp.
11 Sobrino, J. A. and M. Romaguera, 2004. Land surface temperature retrieval from MSG1-SEVIRI data. Remote Sensing of Environment, 92:247-254.   DOI   ScienceOn
12 Vázquez, D. Pozo. F. J. Olmo Reyes, and L. Alados Arboledas, 1997. A comparative study of algorithms for estimating land surface temperature from AVHRR data, Remote Sensing of Environment, 62: 216-222.
13 Watson, K., 1992. Two-temperature method for measuring emissivity, Remote sensing of Environment, 42: 117-12.   DOI   ScienceOn
14 Han, K. -S., A. A. Viau, and F. Anctil, 2004. An analysis of GOES and NOAA derived land surface temperatures estimated over a boreal forest. Int. J. Remote Sens., 25(21): 4761- 4780.   DOI   ScienceOn
15 Prata, A. J. and R. P. Cechet, 1999. An assessment of the accuracy of land surface temperature determination from the GMS-5 VISSR. Remote Sensing of Environment, 67: 1-14.   DOI   ScienceOn
16 Sobrino, J. A. and N. Raissouni, 2000. Toward remote sensing methods for land cover dynamic monitoring: application to Morocco. Int. J. Remote Sens., 21(2): 353-366.   DOI   ScienceOn
17 Shin, S.-H., K.-J Ha, J.-H. Kim, H.-M. Oh, and M.-H. Jo, 2004. Estimation of local surface temperature from EBM with the use of GRID/GIS and remote sensed data. Korean Journal of Remote Sensing, 20(2): 103-116   DOI
18 Valor, E. and V. Caselles, 1996. Mapping land surface emissivity from NDVI: Application to European, African, and South American areas, Remote Sensing of Environment, 57: 164-184.
19 Peres, L. F. and C. C. DaCamara, 2002. An emissivity look-up table for LST estimation from MSG data. SAF Training Workshop Proceedings. 48-55pp.
20 Salisbury, J. W. and M. D'Aria, 1992. Emissivity of terrestrial materials in the 8-14 ${\mu}m$ atmospheric window, Remote Sensing of Environment, 42: 83-106.   DOI   ScienceOn
21 Suh, M.-S. and D.-K. Lee, 1999. Development of cloud detection algorithm for extracting the cloud-free land surface from day time NOAA/AVHRR data, Korean Journal of Remote Sensing, 15(3): 239-251.   PUBMED
22 Gutman, G. and A. Ignatov, 1998. The derivation of the green vegetation fraction from NOAA/AVHRR data for use in numerical weather prediction models. Int. J. Remote Sens., 19(8): 1533-1543.   DOI   ScienceOn
23 Carlson, T. N., J. A. Augustine, and F. E. Boland, 1977. Potential application of satellite temperature measurements in the analysis of land use over urban areas. Bull. Amer. Meteor. Soc., 58: 1301-1304.
24 Choi, H. S. and H. G. Cho, 1986. Estimation of surface temperature derived from GMS radiance observations over South Korea, J. Korean Meteor. Soc., 22(1): 82-99.