Full text: XVIIIth Congress (Part B4)

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Figure 5. Estimated daily evapotranspiration from LAN DSAT TM with ancillary meteorological data. 
gical data. The surface parameters such as albedo, 
vegetation index, surface temperature, was calculated 
deom LANDSAT TM data. Unfortunately, the 
comparision of estimated results with measurements 
could not accompolished. To evaluate the accuracy of 
proposed method and employed empirical formulations, 
collection of a number of in-situ data in test area and 
further research will be required. 
References 
Kondoh, A., 1991. Changes in areal potential evapo- 
transpiration by land cover changes. - À case study 
in Tama hills -, Journal of the Remote Sensing 
Society of Japan, 11(2), pp. pp. 19 - 30. 
Brest, C. L., and Goward, S. N., 1987. Deriving surface 
albedo measurements from narrow band satellite data. 
International Journal of Remote Sensing, 8, pp. 351 - 
35 
367. 
Brutsaert, W., 1982. Evaporation into the atmosphere: 
Theroy, History, and Applications. Kluwer Academic 
Publishers, 299p. 
Jackson, R. D. and Hatfield, J. L., 1983. Estimation of 
daily evapotranspiration from  one-time-of-day 
measurement. Agricultural Water Management, 7, 
pp. 351 - 362. 
Jackson, R. D., 1985. Evaluating evapotranspiration at 
local and regional scales, Proc. IEEE, 73, pp. 
1086 - 1095. ; 
Kotoda, K., 1986. Estimation of river basin 
evapotranspiration. Environmental Research Center 
Papers, Univ. Tsukuba, 8, 66p. 
Kustas, W. P. and Daughtry, C. S. T., 1990. Estimation 
of the soil heat flux/net radiation ratio from spectral 
data. Agriculture, Forest and Meteorology, 49, pp. 
205 - 223. 
International Archives of Photogrammetry and Remote Sensing. Vol. XXXI, Part B4. Vienna 1996 
 
	        
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