Abstract

Land surface temperature (LST) is key parameters in the interaction of land-atmosphere system. This paper proposed a method to inverse LST from multi-temporal thermal infrared remote sensing data based on the theory of split-window algorithm and diurnal temperature cycle model. The new method was validated by a diurnal brightness temperatures data sets corresponding to MSG2-SEVIRI, which was simulated by the atmospheric radiative transfer model MODTRAN 4 with several input parameters under clear sky, including near surface air temperature, atmospheric water, surface temperature and emissivity, and viewing angles, and result showed the root mean square error (RMSE) of LST reaches 1.2K for simulated data and most errors are within ± 2K with accurate parameters input. At the same time, comparison of LST estimated using the proposed method from MSG2-SEVIRI data with that from MOD11B1 V5 product displayed that the RMSE equals to 3.0K and most errors are distributed within ± 6K. But, the method is proposed under no cloudy condition and is tested only in mid-latitude and daytime; more validation should be made in different areas and atmospheric conditions.

© 2013 Optical Society of America

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  1. J. C. Price, “The potential of remotely sensed thermal infrared data to infer surface soil moisture and evaporation,” Water Resour.16, 787–795 (1990).
  2. B.-H. Tang and Z.-L. Li, “Estimation of instantaneous net surface longwave radiation from MODIS cloud-free data,” Remote Sens. Environ.112(9), 3482–3492 (2008).
    [CrossRef]
  3. Z.-L. Li, R. L. Tang, Z. M. Wan, Y.-Y. Bi, C. H. Zhou, B.-H. Tang, G. J. Yan, and X. Y. Zhang, “A review of current methodologies for regional evapotranspiration estimation from remotely sensed data,” Sensors (Basel)9(5), 3801–3853 (2009).
    [CrossRef] [PubMed]
  4. Z.-L. Li, H. Wu, N. Wang, S. Qiu, J. A. Sobrino, Z. Wan, B.-H. Tang, and G. J. Yan, “Land surface emissivity retrieval from satellite data,” Int. J. Remote Sens.34(9–10), 3084–3127 (2013).
    [CrossRef]
  5. Z.-L. Li, B.-H. Tang, H. Wu, H. Z. Ren, G. J. Yan, Z. M. Wan, I. F. Trigo, and J. A. Sobrino, “Satellite-derived land surface temperature: Current status and perspectives,” Remote Sens. Environ.131, 14–37 (2013).
    [CrossRef]
  6. J. Cristóbal, J. C. Jiménez-Muñoz, J. A. Sobrino, M. Ninyerola, and X. Pons, “Improvements in land surface temperature retrieval from the Landsat series thermal band using water vapor and air temperature,” J. Geophys. Res.114(D8), D08103 (2009).
    [CrossRef]
  7. L. M. McMillin, “Estimation of sea surface temperature from two infrared window measurements with different absorption,” J. Geophys. Res.80(36), 5113–5117 (1975).
    [CrossRef]
  8. Z. Wan and J. Dozier, “A Generalized split-window algorithm for retrieving land-surface temperature from space,” IEEE Trans. Geosci. Rem. Sens.34(4), 892–905 (1996).
    [CrossRef]
  9. B.-H. Tang, Y. Y. Bi, Z.-L. Li, and J. Xia, “Generalized Split-Window algorithm for estimate of land surface temperature from Chinese geostationary FengYun meteorological satellite (FY-2C) data,” Sensors8(2), 933–951 (2008).
    [CrossRef]
  10. J. A. Sobrino and M. Romaguera, “Land surface temperature retrieval from MSG1-SEVIRI data,” Remote Sens. Environ.92(2), 247–254 (2004).
    [CrossRef]
  11. T. Schmugge, A. French, J. C. Ritchie, A. Rango, and H. Pelgrum, “Temperature and emissivity separation from multispectral thermal infrared observations,” Remote Sens. Environ.79(2–3), 189–198 (2002).
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    [CrossRef]
  14. J. A. Sobrino, Z.-L. Li, M. P. Stoll, and F. Becker, “Multi-channel and multi-angle algorithms for estimating sea and land surface temperature with ATSR data,” Int. J. Remote Sens.17(11), 2089–2114 (1996).
    [CrossRef]
  15. C. Gao, X. Jiang, H. Wu, B.-H. Tang, Z. Li, and Z.-L. Li, “Comparison of land surface temperatures from MSG-2/SEVIRI and Terra/MODIS,” Int. J. Remote Sens.6(1), 063606 (2012).
  16. G. M. Jiang and Z.-L. Li, “Split-window algorithm for land surface temperature estimation from MSGI-SEVIRI data,” Int. J. Remote Sens.29(20), 6067–6074 (2008).
    [CrossRef]
  17. F. M. Göttsche and F. S. Olesen, “Modeling of diurnal cycles of brightness temperature extracted from METEOSAT data,” Remote Sens. Environ.76(3), 337–348 (2001).
    [CrossRef]
  18. F. Becker and Z.-L. Li, “Toward a local split window method over land surface,” Int. J. Remote Sens.11(3), 369–393 (1990).
    [CrossRef]
  19. Z.-L. Li, L. Jia, Z. B. Su, Z. M. Wan, and R. Zhang, “A new approach for retrieving precipitable water from ATSR2 split-window channel data over land area,” Int. J. Remote Sens.24(24), 5095–5117 (2003).
    [CrossRef]

2013

Z.-L. Li, H. Wu, N. Wang, S. Qiu, J. A. Sobrino, Z. Wan, B.-H. Tang, and G. J. Yan, “Land surface emissivity retrieval from satellite data,” Int. J. Remote Sens.34(9–10), 3084–3127 (2013).
[CrossRef]

Z.-L. Li, B.-H. Tang, H. Wu, H. Z. Ren, G. J. Yan, Z. M. Wan, I. F. Trigo, and J. A. Sobrino, “Satellite-derived land surface temperature: Current status and perspectives,” Remote Sens. Environ.131, 14–37 (2013).
[CrossRef]

2012

C. Gao, X. Jiang, H. Wu, B.-H. Tang, Z. Li, and Z.-L. Li, “Comparison of land surface temperatures from MSG-2/SEVIRI and Terra/MODIS,” Int. J. Remote Sens.6(1), 063606 (2012).

2009

J. Cristóbal, J. C. Jiménez-Muñoz, J. A. Sobrino, M. Ninyerola, and X. Pons, “Improvements in land surface temperature retrieval from the Landsat series thermal band using water vapor and air temperature,” J. Geophys. Res.114(D8), D08103 (2009).
[CrossRef]

Z.-L. Li, R. L. Tang, Z. M. Wan, Y.-Y. Bi, C. H. Zhou, B.-H. Tang, G. J. Yan, and X. Y. Zhang, “A review of current methodologies for regional evapotranspiration estimation from remotely sensed data,” Sensors (Basel)9(5), 3801–3853 (2009).
[CrossRef] [PubMed]

2008

B.-H. Tang and Z.-L. Li, “Estimation of instantaneous net surface longwave radiation from MODIS cloud-free data,” Remote Sens. Environ.112(9), 3482–3492 (2008).
[CrossRef]

G. M. Jiang and Z.-L. Li, “Split-window algorithm for land surface temperature estimation from MSGI-SEVIRI data,” Int. J. Remote Sens.29(20), 6067–6074 (2008).
[CrossRef]

B.-H. Tang, Y. Y. Bi, Z.-L. Li, and J. Xia, “Generalized Split-Window algorithm for estimate of land surface temperature from Chinese geostationary FengYun meteorological satellite (FY-2C) data,” Sensors8(2), 933–951 (2008).
[CrossRef]

2004

J. A. Sobrino and M. Romaguera, “Land surface temperature retrieval from MSG1-SEVIRI data,” Remote Sens. Environ.92(2), 247–254 (2004).
[CrossRef]

2003

Z.-L. Li, L. Jia, Z. B. Su, Z. M. Wan, and R. Zhang, “A new approach for retrieving precipitable water from ATSR2 split-window channel data over land area,” Int. J. Remote Sens.24(24), 5095–5117 (2003).
[CrossRef]

2002

T. Schmugge, A. French, J. C. Ritchie, A. Rango, and H. Pelgrum, “Temperature and emissivity separation from multispectral thermal infrared observations,” Remote Sens. Environ.79(2–3), 189–198 (2002).
[CrossRef]

2001

F. M. Göttsche and F. S. Olesen, “Modeling of diurnal cycles of brightness temperature extracted from METEOSAT data,” Remote Sens. Environ.76(3), 337–348 (2001).
[CrossRef]

1998

A. Gillespie, S. Rokugawa, T. Matsunaga, T. Matsunaga, and J. S. Cothern, “A temperature and emissivity separation algorithm for Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) images,” IEEE Trans. Geosci. Rem. Sens.36(4), 1113–1126 (1998).
[CrossRef]

1996

J. A. Sobrino, Z.-L. Li, M. P. Stoll, and F. Becker, “Multi-channel and multi-angle algorithms for estimating sea and land surface temperature with ATSR data,” Int. J. Remote Sens.17(11), 2089–2114 (1996).
[CrossRef]

Z. Wan and J. Dozier, “A Generalized split-window algorithm for retrieving land-surface temperature from space,” IEEE Trans. Geosci. Rem. Sens.34(4), 892–905 (1996).
[CrossRef]

1990

J. C. Price, “The potential of remotely sensed thermal infrared data to infer surface soil moisture and evaporation,” Water Resour.16, 787–795 (1990).

F. Becker and Z.-L. Li, “Toward a local split window method over land surface,” Int. J. Remote Sens.11(3), 369–393 (1990).
[CrossRef]

1975

L. M. McMillin, “Estimation of sea surface temperature from two infrared window measurements with different absorption,” J. Geophys. Res.80(36), 5113–5117 (1975).
[CrossRef]

Becker, F.

J. A. Sobrino, Z.-L. Li, M. P. Stoll, and F. Becker, “Multi-channel and multi-angle algorithms for estimating sea and land surface temperature with ATSR data,” Int. J. Remote Sens.17(11), 2089–2114 (1996).
[CrossRef]

F. Becker and Z.-L. Li, “Toward a local split window method over land surface,” Int. J. Remote Sens.11(3), 369–393 (1990).
[CrossRef]

Bi, Y. Y.

B.-H. Tang, Y. Y. Bi, Z.-L. Li, and J. Xia, “Generalized Split-Window algorithm for estimate of land surface temperature from Chinese geostationary FengYun meteorological satellite (FY-2C) data,” Sensors8(2), 933–951 (2008).
[CrossRef]

Bi, Y.-Y.

Z.-L. Li, R. L. Tang, Z. M. Wan, Y.-Y. Bi, C. H. Zhou, B.-H. Tang, G. J. Yan, and X. Y. Zhang, “A review of current methodologies for regional evapotranspiration estimation from remotely sensed data,” Sensors (Basel)9(5), 3801–3853 (2009).
[CrossRef] [PubMed]

Cothern, J. S.

A. Gillespie, S. Rokugawa, T. Matsunaga, T. Matsunaga, and J. S. Cothern, “A temperature and emissivity separation algorithm for Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) images,” IEEE Trans. Geosci. Rem. Sens.36(4), 1113–1126 (1998).
[CrossRef]

Cristóbal, J.

J. Cristóbal, J. C. Jiménez-Muñoz, J. A. Sobrino, M. Ninyerola, and X. Pons, “Improvements in land surface temperature retrieval from the Landsat series thermal band using water vapor and air temperature,” J. Geophys. Res.114(D8), D08103 (2009).
[CrossRef]

Dozier, J.

Z. Wan and J. Dozier, “A Generalized split-window algorithm for retrieving land-surface temperature from space,” IEEE Trans. Geosci. Rem. Sens.34(4), 892–905 (1996).
[CrossRef]

French, A.

T. Schmugge, A. French, J. C. Ritchie, A. Rango, and H. Pelgrum, “Temperature and emissivity separation from multispectral thermal infrared observations,” Remote Sens. Environ.79(2–3), 189–198 (2002).
[CrossRef]

Gao, C.

C. Gao, X. Jiang, H. Wu, B.-H. Tang, Z. Li, and Z.-L. Li, “Comparison of land surface temperatures from MSG-2/SEVIRI and Terra/MODIS,” Int. J. Remote Sens.6(1), 063606 (2012).

Gillespie, A.

A. Gillespie, S. Rokugawa, T. Matsunaga, T. Matsunaga, and J. S. Cothern, “A temperature and emissivity separation algorithm for Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) images,” IEEE Trans. Geosci. Rem. Sens.36(4), 1113–1126 (1998).
[CrossRef]

Göttsche, F. M.

F. M. Göttsche and F. S. Olesen, “Modeling of diurnal cycles of brightness temperature extracted from METEOSAT data,” Remote Sens. Environ.76(3), 337–348 (2001).
[CrossRef]

Jia, L.

Z.-L. Li, L. Jia, Z. B. Su, Z. M. Wan, and R. Zhang, “A new approach for retrieving precipitable water from ATSR2 split-window channel data over land area,” Int. J. Remote Sens.24(24), 5095–5117 (2003).
[CrossRef]

Jiang, G. M.

G. M. Jiang and Z.-L. Li, “Split-window algorithm for land surface temperature estimation from MSGI-SEVIRI data,” Int. J. Remote Sens.29(20), 6067–6074 (2008).
[CrossRef]

Jiang, X.

C. Gao, X. Jiang, H. Wu, B.-H. Tang, Z. Li, and Z.-L. Li, “Comparison of land surface temperatures from MSG-2/SEVIRI and Terra/MODIS,” Int. J. Remote Sens.6(1), 063606 (2012).

Jiménez-Muñoz, J. C.

J. Cristóbal, J. C. Jiménez-Muñoz, J. A. Sobrino, M. Ninyerola, and X. Pons, “Improvements in land surface temperature retrieval from the Landsat series thermal band using water vapor and air temperature,” J. Geophys. Res.114(D8), D08103 (2009).
[CrossRef]

Li, Z.

C. Gao, X. Jiang, H. Wu, B.-H. Tang, Z. Li, and Z.-L. Li, “Comparison of land surface temperatures from MSG-2/SEVIRI and Terra/MODIS,” Int. J. Remote Sens.6(1), 063606 (2012).

Li, Z.-L.

Z.-L. Li, B.-H. Tang, H. Wu, H. Z. Ren, G. J. Yan, Z. M. Wan, I. F. Trigo, and J. A. Sobrino, “Satellite-derived land surface temperature: Current status and perspectives,” Remote Sens. Environ.131, 14–37 (2013).
[CrossRef]

Z.-L. Li, H. Wu, N. Wang, S. Qiu, J. A. Sobrino, Z. Wan, B.-H. Tang, and G. J. Yan, “Land surface emissivity retrieval from satellite data,” Int. J. Remote Sens.34(9–10), 3084–3127 (2013).
[CrossRef]

C. Gao, X. Jiang, H. Wu, B.-H. Tang, Z. Li, and Z.-L. Li, “Comparison of land surface temperatures from MSG-2/SEVIRI and Terra/MODIS,” Int. J. Remote Sens.6(1), 063606 (2012).

Z.-L. Li, R. L. Tang, Z. M. Wan, Y.-Y. Bi, C. H. Zhou, B.-H. Tang, G. J. Yan, and X. Y. Zhang, “A review of current methodologies for regional evapotranspiration estimation from remotely sensed data,” Sensors (Basel)9(5), 3801–3853 (2009).
[CrossRef] [PubMed]

B.-H. Tang and Z.-L. Li, “Estimation of instantaneous net surface longwave radiation from MODIS cloud-free data,” Remote Sens. Environ.112(9), 3482–3492 (2008).
[CrossRef]

B.-H. Tang, Y. Y. Bi, Z.-L. Li, and J. Xia, “Generalized Split-Window algorithm for estimate of land surface temperature from Chinese geostationary FengYun meteorological satellite (FY-2C) data,” Sensors8(2), 933–951 (2008).
[CrossRef]

G. M. Jiang and Z.-L. Li, “Split-window algorithm for land surface temperature estimation from MSGI-SEVIRI data,” Int. J. Remote Sens.29(20), 6067–6074 (2008).
[CrossRef]

Z.-L. Li, L. Jia, Z. B. Su, Z. M. Wan, and R. Zhang, “A new approach for retrieving precipitable water from ATSR2 split-window channel data over land area,” Int. J. Remote Sens.24(24), 5095–5117 (2003).
[CrossRef]

J. A. Sobrino, Z.-L. Li, M. P. Stoll, and F. Becker, “Multi-channel and multi-angle algorithms for estimating sea and land surface temperature with ATSR data,” Int. J. Remote Sens.17(11), 2089–2114 (1996).
[CrossRef]

F. Becker and Z.-L. Li, “Toward a local split window method over land surface,” Int. J. Remote Sens.11(3), 369–393 (1990).
[CrossRef]

Matsunaga, T.

A. Gillespie, S. Rokugawa, T. Matsunaga, T. Matsunaga, and J. S. Cothern, “A temperature and emissivity separation algorithm for Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) images,” IEEE Trans. Geosci. Rem. Sens.36(4), 1113–1126 (1998).
[CrossRef]

A. Gillespie, S. Rokugawa, T. Matsunaga, T. Matsunaga, and J. S. Cothern, “A temperature and emissivity separation algorithm for Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) images,” IEEE Trans. Geosci. Rem. Sens.36(4), 1113–1126 (1998).
[CrossRef]

McMillin, L. M.

L. M. McMillin, “Estimation of sea surface temperature from two infrared window measurements with different absorption,” J. Geophys. Res.80(36), 5113–5117 (1975).
[CrossRef]

Ninyerola, M.

J. Cristóbal, J. C. Jiménez-Muñoz, J. A. Sobrino, M. Ninyerola, and X. Pons, “Improvements in land surface temperature retrieval from the Landsat series thermal band using water vapor and air temperature,” J. Geophys. Res.114(D8), D08103 (2009).
[CrossRef]

Olesen, F. S.

F. M. Göttsche and F. S. Olesen, “Modeling of diurnal cycles of brightness temperature extracted from METEOSAT data,” Remote Sens. Environ.76(3), 337–348 (2001).
[CrossRef]

Pelgrum, H.

T. Schmugge, A. French, J. C. Ritchie, A. Rango, and H. Pelgrum, “Temperature and emissivity separation from multispectral thermal infrared observations,” Remote Sens. Environ.79(2–3), 189–198 (2002).
[CrossRef]

Pons, X.

J. Cristóbal, J. C. Jiménez-Muñoz, J. A. Sobrino, M. Ninyerola, and X. Pons, “Improvements in land surface temperature retrieval from the Landsat series thermal band using water vapor and air temperature,” J. Geophys. Res.114(D8), D08103 (2009).
[CrossRef]

Price, J. C.

J. C. Price, “The potential of remotely sensed thermal infrared data to infer surface soil moisture and evaporation,” Water Resour.16, 787–795 (1990).

Qiu, S.

Z.-L. Li, H. Wu, N. Wang, S. Qiu, J. A. Sobrino, Z. Wan, B.-H. Tang, and G. J. Yan, “Land surface emissivity retrieval from satellite data,” Int. J. Remote Sens.34(9–10), 3084–3127 (2013).
[CrossRef]

Rango, A.

T. Schmugge, A. French, J. C. Ritchie, A. Rango, and H. Pelgrum, “Temperature and emissivity separation from multispectral thermal infrared observations,” Remote Sens. Environ.79(2–3), 189–198 (2002).
[CrossRef]

Ren, H. Z.

Z.-L. Li, B.-H. Tang, H. Wu, H. Z. Ren, G. J. Yan, Z. M. Wan, I. F. Trigo, and J. A. Sobrino, “Satellite-derived land surface temperature: Current status and perspectives,” Remote Sens. Environ.131, 14–37 (2013).
[CrossRef]

Ritchie, J. C.

T. Schmugge, A. French, J. C. Ritchie, A. Rango, and H. Pelgrum, “Temperature and emissivity separation from multispectral thermal infrared observations,” Remote Sens. Environ.79(2–3), 189–198 (2002).
[CrossRef]

Rokugawa, S.

A. Gillespie, S. Rokugawa, T. Matsunaga, T. Matsunaga, and J. S. Cothern, “A temperature and emissivity separation algorithm for Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) images,” IEEE Trans. Geosci. Rem. Sens.36(4), 1113–1126 (1998).
[CrossRef]

Romaguera, M.

J. A. Sobrino and M. Romaguera, “Land surface temperature retrieval from MSG1-SEVIRI data,” Remote Sens. Environ.92(2), 247–254 (2004).
[CrossRef]

Schmugge, T.

T. Schmugge, A. French, J. C. Ritchie, A. Rango, and H. Pelgrum, “Temperature and emissivity separation from multispectral thermal infrared observations,” Remote Sens. Environ.79(2–3), 189–198 (2002).
[CrossRef]

Sobrino, J. A.

Z.-L. Li, B.-H. Tang, H. Wu, H. Z. Ren, G. J. Yan, Z. M. Wan, I. F. Trigo, and J. A. Sobrino, “Satellite-derived land surface temperature: Current status and perspectives,” Remote Sens. Environ.131, 14–37 (2013).
[CrossRef]

Z.-L. Li, H. Wu, N. Wang, S. Qiu, J. A. Sobrino, Z. Wan, B.-H. Tang, and G. J. Yan, “Land surface emissivity retrieval from satellite data,” Int. J. Remote Sens.34(9–10), 3084–3127 (2013).
[CrossRef]

J. Cristóbal, J. C. Jiménez-Muñoz, J. A. Sobrino, M. Ninyerola, and X. Pons, “Improvements in land surface temperature retrieval from the Landsat series thermal band using water vapor and air temperature,” J. Geophys. Res.114(D8), D08103 (2009).
[CrossRef]

J. A. Sobrino and M. Romaguera, “Land surface temperature retrieval from MSG1-SEVIRI data,” Remote Sens. Environ.92(2), 247–254 (2004).
[CrossRef]

J. A. Sobrino, Z.-L. Li, M. P. Stoll, and F. Becker, “Multi-channel and multi-angle algorithms for estimating sea and land surface temperature with ATSR data,” Int. J. Remote Sens.17(11), 2089–2114 (1996).
[CrossRef]

Stoll, M. P.

J. A. Sobrino, Z.-L. Li, M. P. Stoll, and F. Becker, “Multi-channel and multi-angle algorithms for estimating sea and land surface temperature with ATSR data,” Int. J. Remote Sens.17(11), 2089–2114 (1996).
[CrossRef]

Su, Z. B.

Z.-L. Li, L. Jia, Z. B. Su, Z. M. Wan, and R. Zhang, “A new approach for retrieving precipitable water from ATSR2 split-window channel data over land area,” Int. J. Remote Sens.24(24), 5095–5117 (2003).
[CrossRef]

Tang, B.-H.

Z.-L. Li, B.-H. Tang, H. Wu, H. Z. Ren, G. J. Yan, Z. M. Wan, I. F. Trigo, and J. A. Sobrino, “Satellite-derived land surface temperature: Current status and perspectives,” Remote Sens. Environ.131, 14–37 (2013).
[CrossRef]

Z.-L. Li, H. Wu, N. Wang, S. Qiu, J. A. Sobrino, Z. Wan, B.-H. Tang, and G. J. Yan, “Land surface emissivity retrieval from satellite data,” Int. J. Remote Sens.34(9–10), 3084–3127 (2013).
[CrossRef]

C. Gao, X. Jiang, H. Wu, B.-H. Tang, Z. Li, and Z.-L. Li, “Comparison of land surface temperatures from MSG-2/SEVIRI and Terra/MODIS,” Int. J. Remote Sens.6(1), 063606 (2012).

Z.-L. Li, R. L. Tang, Z. M. Wan, Y.-Y. Bi, C. H. Zhou, B.-H. Tang, G. J. Yan, and X. Y. Zhang, “A review of current methodologies for regional evapotranspiration estimation from remotely sensed data,” Sensors (Basel)9(5), 3801–3853 (2009).
[CrossRef] [PubMed]

B.-H. Tang and Z.-L. Li, “Estimation of instantaneous net surface longwave radiation from MODIS cloud-free data,” Remote Sens. Environ.112(9), 3482–3492 (2008).
[CrossRef]

B.-H. Tang, Y. Y. Bi, Z.-L. Li, and J. Xia, “Generalized Split-Window algorithm for estimate of land surface temperature from Chinese geostationary FengYun meteorological satellite (FY-2C) data,” Sensors8(2), 933–951 (2008).
[CrossRef]

Tang, R. L.

Z.-L. Li, R. L. Tang, Z. M. Wan, Y.-Y. Bi, C. H. Zhou, B.-H. Tang, G. J. Yan, and X. Y. Zhang, “A review of current methodologies for regional evapotranspiration estimation from remotely sensed data,” Sensors (Basel)9(5), 3801–3853 (2009).
[CrossRef] [PubMed]

Trigo, I. F.

Z.-L. Li, B.-H. Tang, H. Wu, H. Z. Ren, G. J. Yan, Z. M. Wan, I. F. Trigo, and J. A. Sobrino, “Satellite-derived land surface temperature: Current status and perspectives,” Remote Sens. Environ.131, 14–37 (2013).
[CrossRef]

Wan, Z.

Z.-L. Li, H. Wu, N. Wang, S. Qiu, J. A. Sobrino, Z. Wan, B.-H. Tang, and G. J. Yan, “Land surface emissivity retrieval from satellite data,” Int. J. Remote Sens.34(9–10), 3084–3127 (2013).
[CrossRef]

Z. Wan and J. Dozier, “A Generalized split-window algorithm for retrieving land-surface temperature from space,” IEEE Trans. Geosci. Rem. Sens.34(4), 892–905 (1996).
[CrossRef]

Wan, Z. M.

Z.-L. Li, B.-H. Tang, H. Wu, H. Z. Ren, G. J. Yan, Z. M. Wan, I. F. Trigo, and J. A. Sobrino, “Satellite-derived land surface temperature: Current status and perspectives,” Remote Sens. Environ.131, 14–37 (2013).
[CrossRef]

Z.-L. Li, R. L. Tang, Z. M. Wan, Y.-Y. Bi, C. H. Zhou, B.-H. Tang, G. J. Yan, and X. Y. Zhang, “A review of current methodologies for regional evapotranspiration estimation from remotely sensed data,” Sensors (Basel)9(5), 3801–3853 (2009).
[CrossRef] [PubMed]

Z.-L. Li, L. Jia, Z. B. Su, Z. M. Wan, and R. Zhang, “A new approach for retrieving precipitable water from ATSR2 split-window channel data over land area,” Int. J. Remote Sens.24(24), 5095–5117 (2003).
[CrossRef]

Wang, N.

Z.-L. Li, H. Wu, N. Wang, S. Qiu, J. A. Sobrino, Z. Wan, B.-H. Tang, and G. J. Yan, “Land surface emissivity retrieval from satellite data,” Int. J. Remote Sens.34(9–10), 3084–3127 (2013).
[CrossRef]

Wu, H.

Z.-L. Li, H. Wu, N. Wang, S. Qiu, J. A. Sobrino, Z. Wan, B.-H. Tang, and G. J. Yan, “Land surface emissivity retrieval from satellite data,” Int. J. Remote Sens.34(9–10), 3084–3127 (2013).
[CrossRef]

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Figures (10)

Fig. 1
Fig. 1

Comparison of the measured daily temperature evolution with that predicted by DTC model (Eq. (1)) for eight days.

Fig. 2
Fig. 2

Histogram of the difference of actual and estimated average BT of channel 9 and 10 with DTC model.

Fig. 3
Fig. 3

Histogram of the difference of actual and estimated LST with GSW algorithm.

Fig. 4
Fig. 4

Histogram of the difference of actual and estimated δ L S T P * δ S B T - δ s p l i t w with DTC model.

Fig. 5
Fig. 5

Histogram of errors between real and estimated ( - P * a b t + c ) from Eq. (14).

Fig. 6
Fig. 6

Histogram of errors between real and estimated (b-P*b + d) from Eq. (15).

Fig. 7
Fig. 7

Histogram of the difference of actual and estimated LST with proposed method.

Fig. 8
Fig. 8

Histogram of the difference between the actual and estimated LST after adding 0-20% errors to atmospheric WVC.

Fig. 9
Fig. 9

Histogram of the difference between the actual and estimated LST after considering NEΔT.

Fig. 10
Fig. 10

Comparison of LST from MSG2-SEVIRI data with proposed method and that from MOD11B1 V5 product.

Tables (1)

Tables Icon

Table 1 Values for the central wavenumber and the coefficients A and B for the MSG1-SEVIRI 9 and 10 channels

Equations (22)

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LS T day (t)= a lst +b*cos(β*(ttd))+ δ LST (t) t<ts LS T night (t)= b 1 + b 2 *exp(α*(tts))+ δ LST (t) tts
b 2 =[b*β*sin(β*(tstd))]/α b 1 = a lst +b*cos(β*(tstd)) b 2
SB T day (t)= a bt +b*cos(β*(ttd))+ δ SBT (t) t<ts SB T night (t)= b 1 + b 2 *exp(α*(tts))+ δ SBT (t) tts
b 2 =[b*β*sin(β*(tstd))]/α b 1 = a bt +b*cos(β*(tstd)) b 2
LST(t)=A+P*SBT(t)+M*DBT(t)+ δ split
A= a 0 + a 1 *wvc P= a 2 +( a 3 + a 4 *wvc*cos(θ))(1ε)( a 5 + a 6 *wvc)*Δε M= a 7 + a 8 *wvc+( a 9 + a 10 *wvc)(1ε)+( a 11 + a 12 *wvc)*Δε
DBT(t)= a lst +b*cos(β*(ttd))+ δ LST AP*[ a bt +b*cos(β*(ttd))+ δ SBT ] δ split M = a lst -A-P* a bt +b*(1P)*cos(β*(ttd))+ δ LST -P* δ SBT δ split M t<ts
δ LST P* δ SBT - δ splitw =c+d*cos(β*(ttd))
DBT(t)= a lst AP* a bt +c M + bP*b+d M cos(β*(ttd)) t<ts
P* a bt +c=fun1( a bt ,θ,wvc)
bP*b+d=fun2(b,θ,wvc)
And A = fun3( wvc )
DBT(t)= a lst fun3(wvc)+fun1( a bt ,θ,wvc) M + fun2(b,θ,wvc) M cos(β*(ttd)) t<ts
offset= a lst fun3(wvc)+fun1( a bt ,θ,wvc) M
Scale= fun2(b,θ,wvc) M
T i = [ C 2 ' v c / log ( C 1 ' v c 3 L i + 1 ) B ] / A
-P* a bt +c=fun1( a bt ,θ,wvc)=(0.93201+0.28386*wvc*cos(θ)+0.295*wvc)* a bt 21.7549983.55206*wvc*cos(θ)87.93345*wvc
bP*b+d=fun2(b,θ,wvc)=(0.003850.00899*wvc*cos(θ)+0.03012*wvc)*b 0.047830.00608*wvc*cos(θ)0.12548*wvc
fun3(wvc)=0.8380.038*wvc
wvc= c 1 + c 2 * R ji
R ji = k=1 N ( T i,k T ¯ i )( T j,k T ¯ j ) k=1 N ( T i,k T ¯ i ) 2
c 1 = 4.15+10.495*cos(θ) c 2 = 3.78+10.468*cos(θ)

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