Abstract

Sensitivity analysis of temperature-emissivity separation method commonly applied to hyperspectral data to various sources of errors is performed in this paper. In terms of resulting errors in the process of retrieving surface temperature, results show that: (1) Satisfactory results can be obtained for heterogeneous land surfaces and retrieval error of surface temperature is small enough to be neglected for all atmospheric conditions. (2) Separation of atmospheric downwelling radiance from at-ground radiance is not very sensitive to the uncertainty of column water vapor (WV) in the atmosphere. The errors in land surface temperature retrievals from at-ground radiance with the DRRI method due to the uncertainty in atmospheric downwelling radiance vary from −0.2 to 0.6K if the uncertainty of WV is within 50% of the actual WV; (3) Impact of the errors generated by the poor atmospheric corrections is significant, implying that a well-done atmospheric correction is indeed required to obtain accurate at-ground radiance from at-satellite radiance for successful separation of land-surface temperature and emissivity.

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References

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  1. C. C. Borel, “Surface emissivity and temperature retrieval for a hyperspectral sensor,” in Proceedings of IEEE International Geoscience and Remote Sensing Symposium (Seattle, 1998), 1, pp. 546–549.
  2. X. Wang, X.Y. OuYang, B.H.Tang, R.H. Zhang and Z.-L. Li, “A new method for temperature/emissivity separation from hyperspectral thermal infrared data,” in Proceedings of IEEE International Geoscience and Remote Sensing Symposium (Boston, Massachusetts, 2008), III, pp. 286–289, 2008.
  3. The Newton-Raphson Method, http://www.math.ubc.ca/~clarkson/newtonmethod.pdf .
  4. http://ara.lmd.polytechnique.fr/
  5. http://speclib.jpl.nasa.gov/
  6. http://ara.lmd.polytechnique.fr/htdocs-public/products/TIGR/TIGR.html
  7. F. Becker and Z.-L. Li, “Surface temperature and emissivity at various scales: definition, measurement and related problems,” Remote Sens. Rev. 12, 225–253 (1995).
  8. A. R. Gillespie, Department of Earth and Space Sciences, UW-ESS, Mailstop 351310, University of Washington, Seattle, W.A., 98195–1310 (personal communication, 1995)

1995 (1)

F. Becker and Z.-L. Li, “Surface temperature and emissivity at various scales: definition, measurement and related problems,” Remote Sens. Rev. 12, 225–253 (1995).

Becker, F.

F. Becker and Z.-L. Li, “Surface temperature and emissivity at various scales: definition, measurement and related problems,” Remote Sens. Rev. 12, 225–253 (1995).

Li, Z.-L.

F. Becker and Z.-L. Li, “Surface temperature and emissivity at various scales: definition, measurement and related problems,” Remote Sens. Rev. 12, 225–253 (1995).

Remote Sens. Rev. (1)

F. Becker and Z.-L. Li, “Surface temperature and emissivity at various scales: definition, measurement and related problems,” Remote Sens. Rev. 12, 225–253 (1995).

Other (7)

A. R. Gillespie, Department of Earth and Space Sciences, UW-ESS, Mailstop 351310, University of Washington, Seattle, W.A., 98195–1310 (personal communication, 1995)

C. C. Borel, “Surface emissivity and temperature retrieval for a hyperspectral sensor,” in Proceedings of IEEE International Geoscience and Remote Sensing Symposium (Seattle, 1998), 1, pp. 546–549.

X. Wang, X.Y. OuYang, B.H.Tang, R.H. Zhang and Z.-L. Li, “A new method for temperature/emissivity separation from hyperspectral thermal infrared data,” in Proceedings of IEEE International Geoscience and Remote Sensing Symposium (Boston, Massachusetts, 2008), III, pp. 286–289, 2008.

The Newton-Raphson Method, http://www.math.ubc.ca/~clarkson/newtonmethod.pdf .

http://ara.lmd.polytechnique.fr/

http://speclib.jpl.nasa.gov/

http://ara.lmd.polytechnique.fr/htdocs-public/products/TIGR/TIGR.html

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Figures (6)

Fig. 1
Fig. 1

Flow chart of data simulation

Fig. 2
Fig. 2

Organization of mixed pixels as proposed by Gillespie [8]

Fig. 3
Fig. 3

Emissivities of nine land surface types.

Fig. 4
Fig. 4

Histogram of LST error induced by heterogeneous surface effects for moderately moist atmosphere (A3)

Fig. 5
Fig. 5

(a) Effect of atmospheric downwelling radiance error on LST retrieval for A4 atmosphere. The abscissa represents the water vapor content used to estimate the atmospheric downwelling radiance while the ordinate represents the LST error. Nine types of materials from rock to grass have been tested. (b) Effect of atmospheric downwelling radiance error on LST retrieval for different atmospheric conditions (A1-A6) with a gray body of emissivity = 0.9. The abscissa represents the WV scaling factors.

Fig. 6
Fig. 6

Effect of incorrect atmospheric correction errors on LST retrieval for A4 atmosphere with a gray body of emissivity = 0.9.

Tables (1)

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Table 1 Characteristics of TIGR profiles used in this work

Equations (3)

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D R R I j = ( ε 1 ε 2 ) + ν 2 ν 1 ν 3 ν 1 ( ε 3 ε 1 )
L s e n s o r = [ ε B ( T s ) + ( 1 ε ) L a t m , d ] τ + L a t m , u
R λ = f 1 ε 1 B ( T 1 ) + f 2 ε 2 B ( T 2 )

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