This work analyzed and addressed the estimate of the broadband emissivities for the spectral domains 3-14μm ( ${\epsilon }_{3-14}$ ) and 3-∞μm ( ${\epsilon }_{3-\infty }$ ). Two linear narrow-to-broadband conversion models were proposed to estimate broadband emissivities ${\epsilon }_{3-14}$ and ${\epsilon }_{3-\infty }$ using the Moderate Resolution Imaging Spectroradiometer (MODIS) derived emissivities in three thermal infrared channels 29 (8.4-8.7μm), 31 (10.78-11.28μm) and 32 (11.77-12.27μm). Two independent spectral libraries, the Advanced Spaceborne Thermal Emission Reflection Radiometer (ASTER) spectral library and the MODIS UCSB (University of California, Santa Barbara) emissivity library, were used to calibrate and validate the proposed models. Comparisons of the estimated broadband emissivities using the proposed models and the calculated values from the spectral libraries, showed that the proposed method of estimation of broadband emissivity has potential accuracy and the Root Mean Square Error (RMSE) between estimated and calculated broadband emissivities is less than 0.01 for both ${\epsilon }_{3-14}$ and ${\epsilon }_{3-\infty }$ .

© 2010 OSA

1. C. Blondin, “Parameterization of land-surface processes in numerical weather prediction,” in Land surface Evaporation, edited by T. J. Schmugge and J. Andre, pp. 31–54, Spring-Verlag, New York (1991).
2. A. C. Wilber, D. P. Kratz, and S. K. Gupta, “Surface emissivity maps for use in satellite retrieval of longwave radiation,” Nasa. Tp. 30, 209362 (1999).
3. K. Ogawa, T. Schmugge, F. Jacob, and A. French, “Estimation of land surface window (8-12μm) emissivity from multi-spectral thermal infrared remote sensing: A case study in a part of Sahara Desert,” Geophys. Res. Lett. 30(2), 1067 (2003), doi:. [CrossRef]
4. K. Wang, Z. Wan, P. Wang, M. Sparrow, J. Liu, X. Zhou, and S. Haginoya, “Estimation of surface long wave radiation and broadband emissivity using Moderate Resolution Imaging Spectroradiometer (MODIS) land surface temperature/emissivity products,” J. Geophys. Res. 110(D11), D11109 (2005), doi:. [CrossRef]
5. M. Jin and S. L. Liang, “An improved land surface emissivity parameter for land surface model using global remote sensing observations,” J. Clim. 19(12), 2867–2881 (2006). [CrossRef]
6. Z. Wang 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]
7. A. M. Baldridge, S. J. Hook, C. I. Grove, and G. Rivera, “The ASTER spectral library version 2.0,” Remote Sens. Environ. 113(4), 711–715 (2009). [CrossRef]
8. W. C. Snyder, Z. Wang, Y. Zhang, and Y. Feng, “Thermal infrared (3-14μm) bi-directional reflectance measurement of sands and soils,” Remote Sens. Environ. 60(1), 101–109 (1997). [CrossRef]

Geophys. Res. Lett.

• K. Ogawa, T. Schmugge, F. Jacob, and A. French, “Estimation of land surface window (8-12μm) emissivity from multi-spectral thermal infrared remote sensing: A case study in a part of Sahara Desert,” Geophys. Res. Lett. 30(2), 1067 (2003), doi:. [CrossRef]

IEEE Trans. Geosci. Rem. Sens.

• Z. Wang 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]

J. Clim.

• M. Jin and S. L. Liang, “An improved land surface emissivity parameter for land surface model using global remote sensing observations,” J. Clim. 19(12), 2867–2881 (2006). [CrossRef]

J. Geophys. Res.

• K. Wang, Z. Wan, P. Wang, M. Sparrow, J. Liu, X. Zhou, and S. Haginoya, “Estimation of surface long wave radiation and broadband emissivity using Moderate Resolution Imaging Spectroradiometer (MODIS) land surface temperature/emissivity products,” J. Geophys. Res. 110(D11), D11109 (2005), doi:. [CrossRef]

Nasa. Tp.

• A. C. Wilber, D. P. Kratz, and S. K. Gupta, “Surface emissivity maps for use in satellite retrieval of longwave radiation,” Nasa. Tp. 30, 209362 (1999).

Remote Sens. Environ.

• A. M. Baldridge, S. J. Hook, C. I. Grove, and G. Rivera, “The ASTER spectral library version 2.0,” Remote Sens. Environ. 113(4), 711–715 (2009). [CrossRef]
• W. C. Snyder, Z. Wang, Y. Zhang, and Y. Feng, “Thermal infrared (3-14μm) bi-directional reflectance measurement of sands and soils,” Remote Sens. Environ. 60(1), 101–109 (1997). [CrossRef]

Other

• C. Blondin, “Parameterization of land-surface processes in numerical weather prediction,” in Land surface Evaporation, edited by T. J. Schmugge and J. Andre, pp. 31–54, Spring-Verlag, New York (1991).

Click here to see a list of articles that cite this paper

Related Journal Articles

• Remote detection of biological aerosols at a distance of 3 km with a passive Fourier transform infrared (FTIR) sensor (OE)
• Intercomparison of Two BRDF Models in the Estimation of the Directional Emissivity in MIR Channel From MSG1-SEVIRI Data (OE)
• Estimation of land surface directional emissivity in mid-infrared channel around 4.0 µm from MODIS data (OE)
• Validation of MODIS-derived bidirectional reflectivity retrieval algorithm in mid-infrared channel with field measurements (OE)
• Practical retrieval of land surface emissivity spectra in 8-14μm from hyperspectral thermal infrared data (OE)

Related Conference Papers

• Frequency-Resolved Range/Doppler Coherent LIDAR with a Femtosecond Fiber Laser
• Powering Next Generation Networks by Laser Light over Fiber
• Dual Function Sensing and Multiservice Communications Radio over Fiber Network Using Second Harmonic Suppression
• HIS and the New CLARREO Mission
• Thermal Infrared Spectroscopy of Saturn and Titan from Cassini