Abstract

This work addressed the validation of the MODIS-derived bidirectional reflectivity retrieval algorithm in mid-infrared (MIR) channel, proposed by Tang and Li [Int. J. Remote Sens. 29, 4907 (2008)], with ground-measured data, which were collected from a field campaign that took place in June 2004 at the ONERA (Office National d’Etudes et de Recherches Aérospatiales) center of Fauga-Mauzac, on the PIRRENE (Programme Interdisciplinaire de Recherche sur la Radiométrie en Environnement Extérieur) experiment site [Opt. Express 15, 12464 (2007)]. The leaving-surface spectral radiances measured by a BOMEM (MR250 Series) Fourier transform interferometer were used to calculate the ground brightness temperatures with the combination of the inversion of the Planck function and the spectral response functions of MODIS channels 22 and 23, and then to estimate the ground brightness temperature without the contribution of the solar direct beam and the bidirectional reflectivity by using Tang and Li’s proposed algorithm. On the other hand, the simultaneously measured atmospheric profiles were used to obtain the atmospheric parameters and then to calculate the ground brightness temperature without the contribution of the solar direct beam, based on the atmospheric radiative transfer equation in the MIR region. Comparison of those two kinds of brightness temperature obtained by two different methods indicated that the Root Mean Square Error (RMSE) between the brightness temperatures estimated respectively using Tang and Li’s algorithm and the atmospheric radiative transfer equation is 1.94 K. In addition, comparison of the hemispherical-directional reflectances derived by Tang and Li’s algorithm with those obtained from the field measurements showed that the RMSE is 0.011, which indicates that Tang and Li’s algorithm is feasible to retrieve the bidirectional reflectivity in MIR channel from MODIS data.

©2012 Optical Society of America

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References

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  1. Y. J. Kaufman and L. A. Remer, “Detection of forests using MID-IR reflectance: an application for aerosol studies,” IEEE Trans. Geosci. Rem. Sens. 32(3), 672–683 (1994).
    [Crossref]
  2. W. C. Snyder, Z. Wan, Y. Zhang, and Y. Feng, “Thermal infrared (3-14 μm) bi-directional reflectance measurement of sands and soils,” Remote Sens. Environ. 60(1), 101–109 (1997).
    [Crossref]
  3. D. S. Boyd, G. M. Foody, and P. J. Curran, “The relationship between the biomass of Cameroonian tropical forests and radiation reflected in middle infrared wavelengths (3.0-5.0 μm),” Int. J. Remote Sens. 20(5), 1017–1023 (1999).
    [Crossref]
  4. D. S. Boyd and F. Petitcolin, “Remote sensing of the terrestrial environment using middle infrared radiation (3.0-5.0 μm),” Int. J. Remote Sens. 25(17), 3343–3368 (2004).
    [Crossref]
  5. R. Libonati, C. C. DaCamara, J. M. C. Pereira, and L. F. Peres, “Retrieving middle-infrared reflectance for burned area mapping in tropical environments using MODIS,” Remote Sens. Environ. 114(4), 831–843 (2010).
    [Crossref]
  6. Z.-L. Li and F. Becker, “Feasibility of land surface temperature and emissivity determination from NOAA/AVHRR data,” Remote Sens. Environ. 43(1), 67–86 (1993).
    [Crossref]
  7. F. Nerry, F. Petitcolin, and M. P. Stoll, “Bidirectional reflectivity in AVHRR channel 3: application to a region in northern Africa,” Remote Sens. Environ. 66(3), 298–316 (1998).
    [Crossref]
  8. Z.-L. Li, F. Petitcolin, and R. H. Zhang, “A physically based algorithm for land surface emissivity retrieval from combined mid-infrared and thermal infrared data,” Sci. China Ser. E: Technol. Sci. 43(S1Supp), 23–33 (2000).
    [Crossref]
  9. B.-H. Tang and Z.-L. Li, “Retrieval of land surface bidirectional reflectivity in the mid-infrared from MODIS channel 22 and 23,” Int. J. Remote Sens. 29(17-18), 4907–4925 (2008).
    [Crossref]
  10. K. Kanani, L. Poutier, F. Nerry, and M. P. Stoll, “Directional effects consideration to improve out-doors emissivity retrieval in the 3-13 mum domain,” Opt. Express 15(19), 12464–12482 (2007).
    [Crossref] [PubMed]
  11. Z.-L. Li, B. Tang, and Y. Bi, “Estimation of land surface directional emissivity in mid-infrared channel around 4.0 µm from MODIS data,” Opt. Express 17(5), 3173–3182 (2009).
    [Crossref] [PubMed]

2010 (1)

R. Libonati, C. C. DaCamara, J. M. C. Pereira, and L. F. Peres, “Retrieving middle-infrared reflectance for burned area mapping in tropical environments using MODIS,” Remote Sens. Environ. 114(4), 831–843 (2010).
[Crossref]

2009 (1)

2008 (1)

B.-H. Tang and Z.-L. Li, “Retrieval of land surface bidirectional reflectivity in the mid-infrared from MODIS channel 22 and 23,” Int. J. Remote Sens. 29(17-18), 4907–4925 (2008).
[Crossref]

2007 (1)

2004 (1)

D. S. Boyd and F. Petitcolin, “Remote sensing of the terrestrial environment using middle infrared radiation (3.0-5.0 μm),” Int. J. Remote Sens. 25(17), 3343–3368 (2004).
[Crossref]

2000 (1)

Z.-L. Li, F. Petitcolin, and R. H. Zhang, “A physically based algorithm for land surface emissivity retrieval from combined mid-infrared and thermal infrared data,” Sci. China Ser. E: Technol. Sci. 43(S1Supp), 23–33 (2000).
[Crossref]

1999 (1)

D. S. Boyd, G. M. Foody, and P. J. Curran, “The relationship between the biomass of Cameroonian tropical forests and radiation reflected in middle infrared wavelengths (3.0-5.0 μm),” Int. J. Remote Sens. 20(5), 1017–1023 (1999).
[Crossref]

1998 (1)

F. Nerry, F. Petitcolin, and M. P. Stoll, “Bidirectional reflectivity in AVHRR channel 3: application to a region in northern Africa,” Remote Sens. Environ. 66(3), 298–316 (1998).
[Crossref]

1997 (1)

W. C. Snyder, Z. Wan, Y. Zhang, and Y. Feng, “Thermal infrared (3-14 μm) bi-directional reflectance measurement of sands and soils,” Remote Sens. Environ. 60(1), 101–109 (1997).
[Crossref]

1994 (1)

Y. J. Kaufman and L. A. Remer, “Detection of forests using MID-IR reflectance: an application for aerosol studies,” IEEE Trans. Geosci. Rem. Sens. 32(3), 672–683 (1994).
[Crossref]

1993 (1)

Z.-L. Li and F. Becker, “Feasibility of land surface temperature and emissivity determination from NOAA/AVHRR data,” Remote Sens. Environ. 43(1), 67–86 (1993).
[Crossref]

Becker, F.

Z.-L. Li and F. Becker, “Feasibility of land surface temperature and emissivity determination from NOAA/AVHRR data,” Remote Sens. Environ. 43(1), 67–86 (1993).
[Crossref]

Bi, Y.

Boyd, D. S.

D. S. Boyd and F. Petitcolin, “Remote sensing of the terrestrial environment using middle infrared radiation (3.0-5.0 μm),” Int. J. Remote Sens. 25(17), 3343–3368 (2004).
[Crossref]

D. S. Boyd, G. M. Foody, and P. J. Curran, “The relationship between the biomass of Cameroonian tropical forests and radiation reflected in middle infrared wavelengths (3.0-5.0 μm),” Int. J. Remote Sens. 20(5), 1017–1023 (1999).
[Crossref]

Curran, P. J.

D. S. Boyd, G. M. Foody, and P. J. Curran, “The relationship between the biomass of Cameroonian tropical forests and radiation reflected in middle infrared wavelengths (3.0-5.0 μm),” Int. J. Remote Sens. 20(5), 1017–1023 (1999).
[Crossref]

DaCamara, C. C.

R. Libonati, C. C. DaCamara, J. M. C. Pereira, and L. F. Peres, “Retrieving middle-infrared reflectance for burned area mapping in tropical environments using MODIS,” Remote Sens. Environ. 114(4), 831–843 (2010).
[Crossref]

Feng, Y.

W. C. Snyder, Z. Wan, Y. Zhang, and Y. Feng, “Thermal infrared (3-14 μm) bi-directional reflectance measurement of sands and soils,” Remote Sens. Environ. 60(1), 101–109 (1997).
[Crossref]

Foody, G. M.

D. S. Boyd, G. M. Foody, and P. J. Curran, “The relationship between the biomass of Cameroonian tropical forests and radiation reflected in middle infrared wavelengths (3.0-5.0 μm),” Int. J. Remote Sens. 20(5), 1017–1023 (1999).
[Crossref]

Kanani, K.

Kaufman, Y. J.

Y. J. Kaufman and L. A. Remer, “Detection of forests using MID-IR reflectance: an application for aerosol studies,” IEEE Trans. Geosci. Rem. Sens. 32(3), 672–683 (1994).
[Crossref]

Li, Z.-L.

Z.-L. Li, B. Tang, and Y. Bi, “Estimation of land surface directional emissivity in mid-infrared channel around 4.0 µm from MODIS data,” Opt. Express 17(5), 3173–3182 (2009).
[Crossref] [PubMed]

B.-H. Tang and Z.-L. Li, “Retrieval of land surface bidirectional reflectivity in the mid-infrared from MODIS channel 22 and 23,” Int. J. Remote Sens. 29(17-18), 4907–4925 (2008).
[Crossref]

Z.-L. Li, F. Petitcolin, and R. H. Zhang, “A physically based algorithm for land surface emissivity retrieval from combined mid-infrared and thermal infrared data,” Sci. China Ser. E: Technol. Sci. 43(S1Supp), 23–33 (2000).
[Crossref]

Z.-L. Li and F. Becker, “Feasibility of land surface temperature and emissivity determination from NOAA/AVHRR data,” Remote Sens. Environ. 43(1), 67–86 (1993).
[Crossref]

Libonati, R.

R. Libonati, C. C. DaCamara, J. M. C. Pereira, and L. F. Peres, “Retrieving middle-infrared reflectance for burned area mapping in tropical environments using MODIS,” Remote Sens. Environ. 114(4), 831–843 (2010).
[Crossref]

Nerry, F.

K. Kanani, L. Poutier, F. Nerry, and M. P. Stoll, “Directional effects consideration to improve out-doors emissivity retrieval in the 3-13 mum domain,” Opt. Express 15(19), 12464–12482 (2007).
[Crossref] [PubMed]

F. Nerry, F. Petitcolin, and M. P. Stoll, “Bidirectional reflectivity in AVHRR channel 3: application to a region in northern Africa,” Remote Sens. Environ. 66(3), 298–316 (1998).
[Crossref]

Pereira, J. M. C.

R. Libonati, C. C. DaCamara, J. M. C. Pereira, and L. F. Peres, “Retrieving middle-infrared reflectance for burned area mapping in tropical environments using MODIS,” Remote Sens. Environ. 114(4), 831–843 (2010).
[Crossref]

Peres, L. F.

R. Libonati, C. C. DaCamara, J. M. C. Pereira, and L. F. Peres, “Retrieving middle-infrared reflectance for burned area mapping in tropical environments using MODIS,” Remote Sens. Environ. 114(4), 831–843 (2010).
[Crossref]

Petitcolin, F.

D. S. Boyd and F. Petitcolin, “Remote sensing of the terrestrial environment using middle infrared radiation (3.0-5.0 μm),” Int. J. Remote Sens. 25(17), 3343–3368 (2004).
[Crossref]

Z.-L. Li, F. Petitcolin, and R. H. Zhang, “A physically based algorithm for land surface emissivity retrieval from combined mid-infrared and thermal infrared data,” Sci. China Ser. E: Technol. Sci. 43(S1Supp), 23–33 (2000).
[Crossref]

F. Nerry, F. Petitcolin, and M. P. Stoll, “Bidirectional reflectivity in AVHRR channel 3: application to a region in northern Africa,” Remote Sens. Environ. 66(3), 298–316 (1998).
[Crossref]

Poutier, L.

Remer, L. A.

Y. J. Kaufman and L. A. Remer, “Detection of forests using MID-IR reflectance: an application for aerosol studies,” IEEE Trans. Geosci. Rem. Sens. 32(3), 672–683 (1994).
[Crossref]

Snyder, W. C.

W. C. Snyder, Z. Wan, Y. Zhang, and Y. Feng, “Thermal infrared (3-14 μm) bi-directional reflectance measurement of sands and soils,” Remote Sens. Environ. 60(1), 101–109 (1997).
[Crossref]

Stoll, M. P.

K. Kanani, L. Poutier, F. Nerry, and M. P. Stoll, “Directional effects consideration to improve out-doors emissivity retrieval in the 3-13 mum domain,” Opt. Express 15(19), 12464–12482 (2007).
[Crossref] [PubMed]

F. Nerry, F. Petitcolin, and M. P. Stoll, “Bidirectional reflectivity in AVHRR channel 3: application to a region in northern Africa,” Remote Sens. Environ. 66(3), 298–316 (1998).
[Crossref]

Tang, B.

Tang, B.-H.

B.-H. Tang and Z.-L. Li, “Retrieval of land surface bidirectional reflectivity in the mid-infrared from MODIS channel 22 and 23,” Int. J. Remote Sens. 29(17-18), 4907–4925 (2008).
[Crossref]

Wan, Z.

W. C. Snyder, Z. Wan, Y. Zhang, and Y. Feng, “Thermal infrared (3-14 μm) bi-directional reflectance measurement of sands and soils,” Remote Sens. Environ. 60(1), 101–109 (1997).
[Crossref]

Zhang, R. H.

Z.-L. Li, F. Petitcolin, and R. H. Zhang, “A physically based algorithm for land surface emissivity retrieval from combined mid-infrared and thermal infrared data,” Sci. China Ser. E: Technol. Sci. 43(S1Supp), 23–33 (2000).
[Crossref]

Zhang, Y.

W. C. Snyder, Z. Wan, Y. Zhang, and Y. Feng, “Thermal infrared (3-14 μm) bi-directional reflectance measurement of sands and soils,” Remote Sens. Environ. 60(1), 101–109 (1997).
[Crossref]

IEEE Trans. Geosci. Rem. Sens. (1)

Y. J. Kaufman and L. A. Remer, “Detection of forests using MID-IR reflectance: an application for aerosol studies,” IEEE Trans. Geosci. Rem. Sens. 32(3), 672–683 (1994).
[Crossref]

Int. J. Remote Sens. (3)

B.-H. Tang and Z.-L. Li, “Retrieval of land surface bidirectional reflectivity in the mid-infrared from MODIS channel 22 and 23,” Int. J. Remote Sens. 29(17-18), 4907–4925 (2008).
[Crossref]

D. S. Boyd, G. M. Foody, and P. J. Curran, “The relationship between the biomass of Cameroonian tropical forests and radiation reflected in middle infrared wavelengths (3.0-5.0 μm),” Int. J. Remote Sens. 20(5), 1017–1023 (1999).
[Crossref]

D. S. Boyd and F. Petitcolin, “Remote sensing of the terrestrial environment using middle infrared radiation (3.0-5.0 μm),” Int. J. Remote Sens. 25(17), 3343–3368 (2004).
[Crossref]

Opt. Express (2)

Remote Sens. Environ. (4)

W. C. Snyder, Z. Wan, Y. Zhang, and Y. Feng, “Thermal infrared (3-14 μm) bi-directional reflectance measurement of sands and soils,” Remote Sens. Environ. 60(1), 101–109 (1997).
[Crossref]

R. Libonati, C. C. DaCamara, J. M. C. Pereira, and L. F. Peres, “Retrieving middle-infrared reflectance for burned area mapping in tropical environments using MODIS,” Remote Sens. Environ. 114(4), 831–843 (2010).
[Crossref]

Z.-L. Li and F. Becker, “Feasibility of land surface temperature and emissivity determination from NOAA/AVHRR data,” Remote Sens. Environ. 43(1), 67–86 (1993).
[Crossref]

F. Nerry, F. Petitcolin, and M. P. Stoll, “Bidirectional reflectivity in AVHRR channel 3: application to a region in northern Africa,” Remote Sens. Environ. 66(3), 298–316 (1998).
[Crossref]

Sci. China Ser. E: Technol. Sci. (1)

Z.-L. Li, F. Petitcolin, and R. H. Zhang, “A physically based algorithm for land surface emissivity retrieval from combined mid-infrared and thermal infrared data,” Sci. China Ser. E: Technol. Sci. 43(S1Supp), 23–33 (2000).
[Crossref]

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Figures (3)

Fig. 1
Fig. 1

Comparison of brightness temperature T g 0 estimated using Tang and Li’s algorithm and the atmospheric radiative transfer equation, respectively.

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Fig. 2
Fig. 2

Angular variation of the MIR bidirectional reflectivity with the solar zenith angle.

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Fig. 3
Fig. 3

Comparison of the calculated and measured hemispherical-directional reflectance for the nine samples.

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Tables (2)

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Table 1 Nine surface materials used as the validation data

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Table 2 Statistical error of T g 0 between the modeled and calculated brightness temperature and the variation range of calculated T g 0

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Equations (4)

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ρ b = B( T g_22 )−B( T g 0 ) R 22 s ,
T g 0 = T g_22 + a 1 + a 2 ( T g_22 − T g_23 )+ a 3 ( T g_22 − T g_23 ) 2
a i = b 1i + b 2i cos(SZA)+ b 3i cos 2 (SZA),
B i ( T g_i 0 )= ε i B i ( T s )+(1− ε i )( R atm_i ↓+ R atm_i s ↓)

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