8 Evaporation
183
Carlson, T.N., E.M.Perry and T.1.Schmugge, 1990. Remote estimation of soil moisture availability
and fractional vegetation cover for agricultural fields. Agric. For. Meteorol. vol. 52: 45-69
Carlson, T.N., W.1. Capehart, R.R. Gillies, 1995. A new look at the simplified method for remote
sensing of daily evapotranspiration. Rem. Sens. Environ. vol. 54: 161-167
Caselles, V., J .A. Sobrino, and C.ColI, 1992. On the use of satellite thermal data for determining
evapotranspiration in partially vegetated areas. Int. J. Rem. Sens. Vol.13 (14): 2669-2682
Choudhury, B.1., 1986. Analysis of a resistance-energy balance method for estimating daily
evaporation from wheat plots using one time of day infrared temperature observations. Rem.
Sens. Environ. vol. 19 (3): 253-268
Choudhury, B.1., R.I. Reginato and S.B. Idso, 1986. An analysis of infrared temperature observations over wheat and calculation oflatent heat flux .. Agric. For. Met. Vol. 37 (I): 75-88
Choudhury, B.1., N.U. Ahmed, S.B. Idso, R.1. Reginato and C.S.T. Daughtry, 1994. Relations
between evaporation coefficients and vegetation indices studied by model simulations. Rem.
Sens. Environ. vol.50 (I): 1-17
Choudhury, B.1., 1997. Global pattern of potential evaporation calculated from the PenmanMonteith equation using satellite and assimilated data. Rem. Sens. Environ. vol.61 : 64-81
Choudhury, B.1. and N.E. DiGirolamo, 1998. A biophysical process-based estimate of global land
surface evaporation using satellite and ancillary data: I. Model description and comparison with
observations. J. Hydrol. Vol. 205: 164-185
Darnell, W.L., W.F. Staylor, S.K. Gupta, N.A. Ritchey and A.C. Wilber, 1992. Seasonal variation
of surface radiation budget derived from International Satellite Cloud Climatology Project CI
data. J. Geophys. Res. Vol. 97 (15): 741-760
Diak, G.R. and M.A. Whipple, 1993. Improvements to models and methods for evaluating the landsurface energy balance and effective roughness using radiosonde reports and satellite measured
skin temperatures. Agric. For. Met. Vol. 63: 189-218
Diak, G.R., C.1. Scheuer, M.S.Whipple and W.L. Smith, 1994. Remote sensing of land-surface
energy balance using data from the High-resolution Interferometer Sounder (HIS): A simulation study. Rem. Sens. Environ. Vol. 48 (I): 106-118
D'Urso, G. and M.Menenti, 1995. Mapping crop coefficients in irrigated areas from Landsat TM
images. SPIE Int. Soc. Optical Engineering, Bellingham, USA. Vol 2585: 41-47
D'Urso, G. and M.Menenti, 1996. Performance indicators for the statistical evaluation of digital
image classifications. ISPRS J. Photogr.& Rem. Sens. Vol. 51 (2): 78-90
D'Urso G., M.Menenti M. and A. Santini, 1999. Regional application of one-dimensional water
flow models for irrigation management. Agric. Water Manag., 40: 291-302
Eagleson, P .S. (ed.), 1982. Land surface processes in atmospheric general circulation models. Cambridge Univ. Press: 560 pp.
Eichinger, W., D. Cooper, G. Katul, M.Pariange, D. Holtkamp, C. Quick, R. Karl, R. Shaw, K.
Paw-U, T. Hsia, L. Hipps and W. Dugas, 1991. Derivation of evaporative fluxes with a Raman
scanning Lidar. Eos, Trans. Amer. Gephys. Union vol. 72(44): 149
Feddes, R.A., M. Menenti, P. Kabat and W.G.M. Bastiaanssen, 1993. Is large-scale inverse
modelling of unsaturated flow with areal average evaporation and surface soil moisture as
estimated from remote sensing feasible? J. Hydrol. Vol. 143 (1-2): 125-152
Friedl, M.A. and F.W. Davis, 1994. Sources of variation in radiometric surface temperature over
a tallgrass prairie. Rem. ·Sens. Environ. vol.48 (I): 1-17
Fritschen, L.1., 1982. The vertical fluxes of heat and moisture at a vegetated land surface. In: P.S.
Eagleson, (ed.), 1982. Land surface processes in atmospheric general circulation models. Cambridge Univ. Press: 169-226
Goward, S.N., G.D. Cruikshanks and A. Hope, 1985. Observed relations between thermal emission
and reflected spectral radiance of a complex vegetated landscape. Rem. Sens. Environ. vol.l8:
137-146
183
Carlson, T.N., E.M.Perry and T.1.Schmugge, 1990. Remote estimation of soil moisture availability
and fractional vegetation cover for agricultural fields. Agric. For. Meteorol. vol. 52: 45-69
Carlson, T.N., W.1. Capehart, R.R. Gillies, 1995. A new look at the simplified method for remote
sensing of daily evapotranspiration. Rem. Sens. Environ. vol. 54: 161-167
Caselles, V., J .A. Sobrino, and C.ColI, 1992. On the use of satellite thermal data for determining
evapotranspiration in partially vegetated areas. Int. J. Rem. Sens. Vol.13 (14): 2669-2682
Choudhury, B.1., 1986. Analysis of a resistance-energy balance method for estimating daily
evaporation from wheat plots using one time of day infrared temperature observations. Rem.
Sens. Environ. vol. 19 (3): 253-268
Choudhury, B.1., R.I. Reginato and S.B. Idso, 1986. An analysis of infrared temperature observations over wheat and calculation oflatent heat flux .. Agric. For. Met. Vol. 37 (I): 75-88
Choudhury, B.1., N.U. Ahmed, S.B. Idso, R.1. Reginato and C.S.T. Daughtry, 1994. Relations
between evaporation coefficients and vegetation indices studied by model simulations. Rem.
Sens. Environ. vol.50 (I): 1-17
Choudhury, B.1., 1997. Global pattern of potential evaporation calculated from the PenmanMonteith equation using satellite and assimilated data. Rem. Sens. Environ. vol.61 : 64-81
Choudhury, B.1. and N.E. DiGirolamo, 1998. A biophysical process-based estimate of global land
surface evaporation using satellite and ancillary data: I. Model description and comparison with
observations. J. Hydrol. Vol. 205: 164-185
Darnell, W.L., W.F. Staylor, S.K. Gupta, N.A. Ritchey and A.C. Wilber, 1992. Seasonal variation
of surface radiation budget derived from International Satellite Cloud Climatology Project CI
data. J. Geophys. Res. Vol. 97 (15): 741-760
Diak, G.R. and M.A. Whipple, 1993. Improvements to models and methods for evaluating the landsurface energy balance and effective roughness using radiosonde reports and satellite measured
skin temperatures. Agric. For. Met. Vol. 63: 189-218
Diak, G.R., C.1. Scheuer, M.S.Whipple and W.L. Smith, 1994. Remote sensing of land-surface
energy balance using data from the High-resolution Interferometer Sounder (HIS): A simulation study. Rem. Sens. Environ. Vol. 48 (I): 106-118
D'Urso, G. and M.Menenti, 1995. Mapping crop coefficients in irrigated areas from Landsat TM
images. SPIE Int. Soc. Optical Engineering, Bellingham, USA. Vol 2585: 41-47
D'Urso, G. and M.Menenti, 1996. Performance indicators for the statistical evaluation of digital
image classifications. ISPRS J. Photogr.& Rem. Sens. Vol. 51 (2): 78-90
D'Urso G., M.Menenti M. and A. Santini, 1999. Regional application of one-dimensional water
flow models for irrigation management. Agric. Water Manag., 40: 291-302
Eagleson, P .S. (ed.), 1982. Land surface processes in atmospheric general circulation models. Cambridge Univ. Press: 560 pp.
Eichinger, W., D. Cooper, G. Katul, M.Pariange, D. Holtkamp, C. Quick, R. Karl, R. Shaw, K.
Paw-U, T. Hsia, L. Hipps and W. Dugas, 1991. Derivation of evaporative fluxes with a Raman
scanning Lidar. Eos, Trans. Amer. Gephys. Union vol. 72(44): 149
Feddes, R.A., M. Menenti, P. Kabat and W.G.M. Bastiaanssen, 1993. Is large-scale inverse
modelling of unsaturated flow with areal average evaporation and surface soil moisture as
estimated from remote sensing feasible? J. Hydrol. Vol. 143 (1-2): 125-152
Friedl, M.A. and F.W. Davis, 1994. Sources of variation in radiometric surface temperature over
a tallgrass prairie. Rem. ·Sens. Environ. vol.48 (I): 1-17
Fritschen, L.1., 1982. The vertical fluxes of heat and moisture at a vegetated land surface. In: P.S.
Eagleson, (ed.), 1982. Land surface processes in atmospheric general circulation models. Cambridge Univ. Press: 169-226
Goward, S.N., G.D. Cruikshanks and A. Hope, 1985. Observed relations between thermal emission
and reflected spectral radiance of a complex vegetated landscape. Rem. Sens. Environ. vol.l8:
137-146