Title: 1. Algorithms
11. Algorithms Nine LST algorithms (Yu et al.,
2008) were analyzed for the land surface
temperature retrieval from GOES-R ABI sensor
data. Each of the algorithms consists of two
parts the basic split window algorithm and path
length correction (the last term in each
algorithm). The basic split window algorithms are
adapted or adopted from those published
literatures, while the path correction term is
added for additional atmospheric absorption
correction due to path length various.
Number of satellite and SURFRAD match-up
measurements.
- 6. Summary
- Split window LST algorithms were analyzed for
GOES-R Mission LST EDR production. - SUFRAD ground measurements were used for GOES-R
LST algorithm evaluation - Algorithms 2 and 6 are recommended for their less
sensitivity to emissivity uncertainty. - Algorithm coefficients are stratified for daytime
and nighttime, dry and moist atmospheric
conditions. - Recommended algorithms will meet the GOES-R
mission requirement (lt 2.4 K).
- References
- Berk, A., G. P. Anderson, P. K. Acharya, J. H.
Chetwynd, M. L. Hoke, L. S. Bernstein, E.P.
Shettle, M.W. Matthew and S.M. Alder-Golden ,
MODTRAN4 Version 2 Vehicles Directorate, Hanscom
AFB, MA 01731-3010, April 2000. - Wan, Z. and J. Dozier, A generalized
split-window algorithm for retrieving land
surface temperature from space, IEEE Trans.
Geosc. Remote Sens., 34, 892- 905, 1996. - Becker, F. and Z.-L. Li, Toward a local split
window method over landsurface, Int. J. Remote
Sensing, vol. 11, no. 3, pp. 369393, 1990. - Prata, A. J. and C.M.R. Platt, Land surface
temperature measurements from the AVHRR, proc.
of the 5th AVHRR Data users conference,
June25-28, Tromso, Norway, EUM P09,443-438,
1991. - Caselles, V., C. Coll and E. Valor, Land
surface temperature determination in the whole
Hapex Sahell area from AVHRR data, Int. J.
remote Sens. 18, 5, 1009-1027, 1997. - Coll, C., E. Valor, T. Schmugge, V. Caselles, A
procedure for estimating the land surface
emissivity difference in the AVHRR channels 4 and
5, Remote Sensing Application to the Valencian
Area, Spain, 1997. - Vidal, A., Atmospheric and emissivity correction
of land surface temperature measured from
satellite using ground measurements or satellite
data, Int. J. Remote Snes., 12, 2449-2460, 1991. - Price, J. C., Land surface temperature
measurements from the split window channels on
the NOAA 7 Advanced Very High Resolution
Radiometer, J. Geophys. Res., 89, 7231-7237,
1984. - Ulivieri, C. and G. Cannizzaro, Land surface
temperature retrievals from satellite
measurements, Acta Astronautica, 12, 997985,
1985. - Sobrino, J. A., Z.L. Li, M.Ph. Stoll, F. Becker,
Improvements in the split-window technique for
land surface temperature determination, IEEE
Trans. Geosc. Remote Sens., 32, 2, 243-253,
1994. - Ulivieri, C., M.M. Castronouvo, R. Francioni, A.
Cardillo, A SW algorithm for estimating land
surface temperature from satellites, Adv. Spce
res., 14, 3, 59-65, 1992. - Sobrino, J. A., Z.L. Li, M.Ph. Stoll, F. Becker,
Determination of the surface temperature from
ATSR data, Proceedings of 25th International
Symposium on Remote Sensing of Environment held
in Graz, Austria, on 4th-8th April, 1993 (Ann
Arbor, ERIM), pp II-19-II-109, 1993. - Snyder, W. C., Z. Wan, and Y. Z. Feng,
Classification-based emissivity for land surface
temperature measurement from space, Int. J.
Remote Sensing, vol. 19, no. 14, pp. 2753-2774,
1998. - Yu, Y, J. Privette, A. Pinheiro, Evaluation of
split window land surface temperature algorithms
for generating climate data records, IEEE Trans.
Geosc. Remote Sens., Jan. 2008, in press.