Editorial Type:
Article
Article Type:
Research Article

Evaluation of Satellite Estimates of Land Surface Temperature from GOES over the United States

Rachel T. Pinker Department of Atmospheric and Oceanic Sciences, University of Maryland, College Park, College Park, Maryland

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Donglian Sun Department of Atmospheric and Oceanic Sciences, University of Maryland, College Park, College Park, Maryland

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Meng-Pai Hung Department of Atmospheric and Oceanic Sciences, University of Maryland, College Park, College Park, Maryland

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Chuan Li Department of Atmospheric and Oceanic Sciences, University of Maryland, College Park, College Park, Maryland

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Jeffrey B. Basara Oklahoma Climatological Survey, University of Oklahoma, Norman, Oklahoma

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Print Publication:
01 Jan 2009
DOI:
https://doi.org/10.1175/2008JAMC1781.1
Page(s):
167–180
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Abstract

A comprehensive evaluation of split-window and triple-window algorithms to estimate land surface temperature (LST) from Geostationary Operational Environmental Satellites (GOES) that were previously described by Sun and Pinker is presented. The evaluation of the split-window algorithm is done against ground observations and against independently developed algorithms. The triple-window algorithm is evaluated only for nighttime against ground observations and against the Sun and Pinker split-window (SP-SW) algorithm. The ground observations used are from the Atmospheric Radiation Measurement Program (ARM) Central Facility, Southern Great Plains site (April 1997–March 1998); from five Surface Radiation Budget Network (SURFRAD) stations (1996–2000); and from the Oklahoma Mesonet. The independent algorithms used for comparison include the National Oceanic and Atmospheric Administration/National Environmental Satellite, Data and Information Service operational method and the following split-window algorithms: that of , that of , two versions of that of , that of , two versions of that of , that of and others, the generalized split-window algorithm as described by Becker and Li and by Wan and Dozier, and the Becker and Li algorithm with water vapor correction. The evaluation against the ARM and SURFRAD observations indicates that the LST retrievals from the SP-SW algorithm are in closer agreement with the ground observations than are the other algorithms tested. When evaluated against observations from the Oklahoma Mesonet, the triple-window algorithm is found to perform better than the split-window algorithm during nighttime.

Corresponding author address: Rachel T. Pinker, Department of Atmospheric and Oceanic Sciences, University of Maryland, College Park, College Park, MD 20742-0000. Email: pinker@atmos.umd.edu

Abstract

A comprehensive evaluation of split-window and triple-window algorithms to estimate land surface temperature (LST) from Geostationary Operational Environmental Satellites (GOES) that were previously described by Sun and Pinker is presented. The evaluation of the split-window algorithm is done against ground observations and against independently developed algorithms. The triple-window algorithm is evaluated only for nighttime against ground observations and against the Sun and Pinker split-window (SP-SW) algorithm. The ground observations used are from the Atmospheric Radiation Measurement Program (ARM) Central Facility, Southern Great Plains site (April 1997–March 1998); from five Surface Radiation Budget Network (SURFRAD) stations (1996–2000); and from the Oklahoma Mesonet. The independent algorithms used for comparison include the National Oceanic and Atmospheric Administration/National Environmental Satellite, Data and Information Service operational method and the following split-window algorithms: that of , that of , two versions of that of , that of , two versions of that of , that of and others, the generalized split-window algorithm as described by Becker and Li and by Wan and Dozier, and the Becker and Li algorithm with water vapor correction. The evaluation against the ARM and SURFRAD observations indicates that the LST retrievals from the SP-SW algorithm are in closer agreement with the ground observations than are the other algorithms tested. When evaluated against observations from the Oklahoma Mesonet, the triple-window algorithm is found to perform better than the split-window algorithm during nighttime.

Corresponding author address: Rachel T. Pinker, Department of Atmospheric and Oceanic Sciences, University of Maryland, College Park, College Park, MD 20742-0000. Email: pinker@atmos.umd.edu

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Journal of Applied Meteorology and Climatology

  • Basara, J. B., and K. C. Crawford, 2002: Linear relationships between root-zone soil moisture and atmospheric processes in the planetary boundary layer. J. Geophys. Res., 107 , 4274. doi:10.1029/2001JD000633.

    • Search Google Scholar
    • Export Citation

  • Becker, F., 1987: The impact of spectral emissivity on the measurement of land surface temperature from a satellite. Int. J. Remote Sens., 8 , 1508–1522.

    • Search Google Scholar
    • Export Citation

  • Becker, F., and Z. L. Li, 1990: Toward a local split window method over land surface. Int. J. Remote Sens., 11 , 369–393.

  • Becker, F., and Z. L. Li, 1995: Surface temperature and emissivity at various scales: Definition, measurement and related problems. Remote Sens. Rev., 12 , 225–253.

    • Search Google Scholar
    • Export Citation

  • Bhattacharya, B. K., and V. K. Dadhwal, 2003: Retrieval and validation of land surface temperature (LST) from NOAA AVHRR thermal images of Gujarat, India. Int. J. Remote Sens., 24 , 1197–1206.

    • Search Google Scholar
    • Export Citation

  • Brock, F. V., K. C. Crawford, R. L. Elliott, G. W. Cuperus, S. J. Stadler, H. L. Johnson, and M. D. Eilts, 1995: The Oklahoma Mesonet: A technical overview. J. Atmos. Oceanic Technol., 12 , 5–19.

    • Search Google Scholar
    • Export Citation

  • Bugbee, B., M. Droter, O. Monje, and B. Tanner, 1998: Evaluation and modification of commercial infrared transducers for leaf temperature measurement. Adv. Space Res., 22 , 1425–1434.

    • Search Google Scholar
    • Export Citation

  • Chen, L. F., Z-L. Li, Q. H. Liu, S. Chen, Y. Tang, and B. Zhong, 2004: Definition of component effective emissivity for heterogeneous and non-isothermal surfaces and its approximate calculation. Int. J. Remote Sens., 25 , 231–244.

    • Search Google Scholar
    • Export Citation

  • Coll, C., and V. Caselles, 1997: A split-window algorithm for land surfaces temperature from advanced very high-resolution radiometer data: Validation and algorithm comparison. J. Geophys. Res., 102 , 16697–16713.

    • Search Google Scholar
    • Export Citation

  • Coll, C., V. Caselles, J. A. Sobrino, and E. Valor, 1994: On the atmospheric dependence of the split-window equation for land surface temperature. Int. J. Remote Sens., 15 , 105–122.

    • Search Google Scholar
    • Export Citation

  • DeFries, R. S., M. Hansen, and J. Townshend, 1995: Global discrimination of land cover types from metrics derived from AVHRR pathfinder data. Remote Sens. Environ., 54 , 209–222.

    • Search Google Scholar
    • Export Citation

  • Dickinson, R. E., 1996: Land surface processes and climate modeling. Bull. Amer. Meteor. Soc., 76 , 1445–1448.

  • Faysash, D. A., and E. A. Smith, 1999: Simultaneous land surface temperature–emissivity retrieved in the infrared split window. J. Atmos. Oceanic Technol., 16 , 1673–1689.

    • Search Google Scholar
    • Export Citation

  • Fiebrich, C. A., J. E. Martinez, J. A. Brotzge, and J. B. Basara, 2003: The Oklahoma Mesonet’s skin temperature network. J. Atmos. Oceanic Technol., 20 , 1496–1504.

    • Search Google Scholar
    • Export Citation

  • Francois, C., and C. Ottle, 1996: Atmospheric corrections in the thermal infrared: Global and water vapor dependent split-window algorithms—Applications to ATSR and AVHRR data. IEEE Trans. Geosci. Remote Sens., 34 , 457–470.

    • Search Google Scholar
    • Export Citation

  • Hansen, M. C., R. S. Defries, J. R. G. Townshend, and R. Sohlberg, 2000: Global land cover classification at 1 km spatial resolution using a classification tree approach. Int. J. Remote Sens., 21 , 1331–1364.

    • Search Google Scholar
    • Export Citation

  • Hicks, B. B., J. J. DeLuisi, and D. Matt, 1996: The NOAA Integrated Surface Irradiance Study (ISIS)—New surface radiation monitoring network. Bull. Amer. Meteor. Soc., 77 , 2857–2864.

    • Search Google Scholar
    • Export Citation

  • Li, X., R. T. Pinker, M. M. Wonsick, and Y. Ma, 2007: Toward improved satellite estimates of short-wave radiative fluxes—Focus on cloud detection over snow: 1. Methodology. J. Geophys. Res., 112 , D07208. doi:10.1029/2005JD006698.

    • Search Google Scholar
    • Export Citation

  • Loveland, T. R., and A. S. Belward The IGBP-DIS global 1 km land cover data set, DISCover: First results. Int. J. Remote Sens., 18 , 289–3295.

    • Search Google Scholar
    • Export Citation

  • McClain, E. P., W. G. Pichel, and C. C. Walton, 1985: Comparative performance of AVHRR-based multichannel sea surface temperatures. J. Geophys. Res., 90 , 11587–11601.

    • Search Google Scholar
    • Export Citation

  • McPherson, R. A., and Coauthors, 2007: Statewide monitoring of the mesoscale environment: A technical update on the Oklahoma Mesonet. J. Atmos. Oceanic Technol., 24 , 301–321.

    • Search Google Scholar
    • Export Citation

  • Oku, Y., and H. Ishikawa, 2004: Estimation of land surface temperature over the Tibetan Plateau using GMS data. J. Appl. Meteor., 43 , 548–561.

    • Search Google Scholar
    • Export Citation

  • Ouaidrari, H., S. N. Goward, K. P. Czajkowski, J. A. Sobrino, and E. Vermote, 2002: Land surface temperature estimation from AVHRR thermal infrared measurements: An assessment for the AVHRR Land Pathfinder II data set. Remote Sens. Environ., 81 , 114–128.

    • Search Google Scholar
    • Export Citation

  • Pinker, R. T., and Coauthors, 2003: Surface radiation budgets in support of the GEWEX Continental-Scale International Project (GCIP) and the GEWEX Americas Prediction Project (GAPP), including the North American Land Data Assimilation System (NLDAS) project. J. Geophys. Res., 108 , 8844. doi:10.1029/2002JD003301.

    • Search Google Scholar
    • Export Citation

  • Pinker, R. T., X. Li, E. Yegorova, and W. Meng, 2007: Toward improved satellite estimates of short-wave radiative fluxes—Focus on cloud detection over snow: 2. Results. J. Geophys. Res., 112 , D09204. doi:10.1029/2005JD006699.

    • Search Google Scholar
    • Export Citation

  • Prata, A. J., 1993: Land surface temperature derived from the advanced very high resolution radiometer and the along-track scanning radiometer: 1. Theory. J. Geophys. Res., 98 , 16689–16702.

    • Search Google Scholar
    • Export Citation

  • Prata, A. J., and C. M. R. Platt, 1991: Land surface temperature measurements from the AVHRR. Proc. Fifth AVHRR Data Users Conf., Tromso, Norway, EUM P09, 443–438.

    • Search Google Scholar
    • Export Citation

  • Prata, A. J., V. Caselles, C. Coll, J. A. Sobrino, and C. Ottle, 1995: Thermal remote sensing of land surface temperature from satellite: Current status and future prospects. Remote Sens. Rev., 12 , 175–224.

    • Search Google Scholar
    • Export Citation

  • Price, J. C., 1984: Land surface temperature measurements from the split window channels of the NOAA 7 Advanced Very High Resolution Radiometer. J. Geophys. Res., 89 , 7231–7237.

    • Search Google Scholar
    • Export Citation

  • Qin, Z. H., P. Berliner, and A. Karnieli, 2002a: Micrometeorological modeling to understand the thermal anomaly in the sand dunes across the Israel–Egypt border. J. Arid Environ., 51 , 281–318.

    • Search Google Scholar
    • Export Citation

  • Qin, Z. H., A. Karnieli, and P. Berliner, 2002b: Remote sensing analysis of the land surface temperature anomaly in the sand-dune region across the Israel–Egypt border. Int. J. Remote Sens., 23 , 3991–4018.

    • Search Google Scholar
    • Export Citation

  • Sellers, P. J., F. G. Hall, G. Asrar, D. E. Strebel, and R. E. Murphy, 1988: The First ISLSCP Field Experiment (FIFE). Bull. Amer. Meteor. Soc., 69 , 22–27.

    • Search Google Scholar
    • Export Citation

  • Snyder, W., Z. Wan, Y. Zhang, and Y. Feng, 1998: Classification-based emissivity for land surface temperature measurement from space. Int. J. Remote Sens., 19 , 2753–2774.

    • Search Google Scholar
    • Export Citation

  • Sobrino, J. A., Z. L. Li, M. Ph Stoll, and F. Becker, 1993: Determination of the surface temperature from ATSR data. Proc. 25th Int. Symp. on Remote Sensing of Environment, Graz, Austria, ERIM, II-19–II-109.

    • Search Google Scholar
    • Export Citation

  • Sobrino, J. A., Z. L. Li, M. Ph Stoll, and F. Becker, 1994: Improvements in the split-window technique for land surface temperature determination. IEEE Trans. Geosci. Remote Sens., 32 , 243–253.

    • Search Google Scholar
    • Export Citation

  • Sobrino, J. A., J. C. Jimenez-Munoz, and L. Paolini, 2003a: Land surface temperature retrieval from LANDSAT TM 5. Remote Sens. Environ., 90 , 434–440.

    • Search Google Scholar
    • Export Citation

  • Sobrino, J. A., J. E. Kharraz, and Z. L. Li, 2003b: Surface temperature and water vapour retrieval from MODIS data. Int. J. Remote Sens., 24 , 5161–5182.

    • Search Google Scholar
    • Export Citation

  • Sobrino, J. A., J. C. Jimenez-Munoz, J. El-Kharraz, M. Gomez, M. Romaguera, and G. Soria, 2004: Single-channel and two-channel methods for land surface temperature retrieval from DAIS data and its application to the Barrax site. Int. J. Remote Sens., 25 , 215–230.

    • Search Google Scholar
    • Export Citation

  • Sun, D., and R. T. Pinker, 2003: Estimation of land surface temperature from Geostationary Operational Environmental Satellite (GOES-8). J. Geophys. Res., 108 , 4326. doi:10.1029/2002JD002422.

    • Search Google Scholar
    • Export Citation

  • Sun, D., R. T. Pinker, and J. B. Basara, 2004: Land surface temperature estimation from the next generation of geostationary operational environmental satellites: GOES M-Q. J. Appl. Meteor., 43 , 363–372.

    • Search Google Scholar
    • Export Citation

  • Sun, D., M. Kafatos, R. Pinker, and D. Easterling, 2006a: Seasonal variations in diurnal temperature range from satellites and surface observations. IEEE Trans. Geosci. Remote Sens., 44 , 2779–2785.

    • Search Google Scholar
    • Export Citation

  • Sun, D., R. Pinker, and M. Kafatos, 2006b: Diurnal temperature range over the United States: A satellite view. Geophys. Res. Lett., 33 , L05705. doi:10.1029/2005GL024780.

    • Search Google Scholar
    • Export Citation

  • Sun, Y-Y., F-M. Gottsche, F-S. Olesen, and H. Fisher, 2002: Retrieval of land surface temperature from combined AVHRR data. Ann. Geophys., 20 , 1257–1259.

    • Search Google Scholar
    • Export Citation

  • Ulivieri, C., and G. Cannizzaro, 1985: Land surface temperature retrievals from satellite measurements. Acta Astronaut., 12 , 977–985.

  • Ulivieri, C., M. M. Castronouvo, R. Francioni, and A. Cardillo, 1992: A SW algorithm for estimating land surface temperature from satellites. Adv. Space Res, 14 , 59–65.

    • Search Google Scholar
    • Export Citation

  • Vidal, A., 1991: Atmospheric and emissivity correction of land surface temperature measured from satellite using ground measurements or satellite data. Int. J. Remote Sens, 12 , 2449–2460.

    • Search Google Scholar
    • Export Citation

  • Wan, Z., and J. Dozier, 1996: A generalized split-window algorithm for retrieving land-surface temperature from space. IEEE Trans. Geosci. Remote Sens., 34 , 892–905.

    • Search Google Scholar
    • Export Citation

  • Wan, Z., Y. Zhang, Q. Zhang, and Z. Li, 2002: Validation of the land-surface temperature products retrieved from Terra Moderate Resolution Imaging Spectroradiometer data. Remote Sens. Environ., 83 , 163–180.

    • Search Google Scholar
    • Export Citation

  • Wan, Z., Y. Zhang, Q. Zhang, and Z. Li, 2004: Quality assessment and validation of the MODIS global land surface temperature. Int. J. Remote Sens., 25 , 261–274.

    • Search Google Scholar
    • Export Citation

  • Weng, Q., D. Lu, and J. Schubring, 2004: Estimation of land surface temperature–vegetation abundance relationship for urban heat island studies. Remote Sens. Environ., 89 , 467–483.

    • Search Google Scholar
    • Export Citation

  • Wu, X., W. P. Menzel, and G. S. Wade, 1999: Estimation of sea surface temperatures using GOES-8/9 radiance measurements. Bull. Amer. Meteor. Soc., 80 , 1127–1138.

    • Search Google Scholar
    • Export Citation

  • Yu, Y., J. L. Privette, and A. Pinheiro, 2008: Evaluation of split-window land surface temperature algorithms for generating climate data records. IEEE Trans. Geosci. Remote Sens., 46 , 179–192.

    • Search Google Scholar
    • Export Citation
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