17 Irrigation and Drainage
397
nated effort for monitoring the earth's environment: pilot project campaign on Landsat
Thematic Mapper applications 1985-87. ESA IRS Rome, Italy: 41-48
Babaev A.M. and Babaev A.A., 1994. Problems of Desert Development. 1994, No. I, 17-23
Barbosa, P.M., M.A. Casterad and J. Herrero, 1996. Performance of several Landsat 5 Thematic
Mapper (TM) image classification methods for crop extent estimates in an irrigation district.
Int. J. Rem. Sens. Vol. 17 (18): 3665-3674
Bastiaanssen, W.G.M., 1995. RegionaIization of surface flux densities and moisture indicators in
composite terrain. Ph.D. Thesis Agricultural University of Wageningen and Report 109,
DLO- Winand Staring Centre, Wageningen, The Netherlands.: 195 p
Bastiaanssen W.G.M., Wal T. van der and Visser T.N.M., 1996. Diagnosis of regional
evaporation by remote sensing to support irrigation performance assessment. Irr. Drain. Syst.
vol. 1O( I): 1-23
Bausch W.C., 1995. Remote sensing of crop coefficients for improving the irrigation scheduling
of com. Agric.Water Manag. vol. 27(1): 55-68
Ben Asher J., C.J. Phene and A. Kinarti, 1992 Canopy temperature to assess daily evapotranspiration and management of high frequency drip irrigation systems. Agric. Water Manag. vol.
22 (4): 379-390
Brasa-Ramos A., Santa-Olalla F.M. de and Caselles V, 1996. Maximum and actual
evapotranspiration for barley (Hordeum vulgare L.) through NOAA satellite images in
Castilla-La Mancha, Spain. J. Agric. Eng. Res. vol. 63 (4): 283-293
Carton P., 1991. Inventory and mapping of irrigation systems in Algeria using SPOT
data. Options Mediterraneennes. Serie A, Seminaires Mediterraneens No.4: 139-143.
Choudhury, B.J., N.V. Ahmed, S.B. Idso, R.J.Reginato and C.S.T. Daughtry, 1994. Relations
between evaporation coefficients and vegetation indices studied by model simulations.
Remote Sens. Environ. vol. 50: 1-17
Choudhury, B.J., 1997. Global pattern of potential evaporation calculated from the PenmanMonteith equation using satellite and assimilated data. Remote Sens. Environ. vol. 61: 64-81
Cuevas, J.M. and F.Gonzalez,1992.Variacion temporal de las superficies cultivadas en regadio
en el area del Parque Nacional de Donana mediante analisis de imagenes Landsat MSS.
Investigacion Agraria, Produccion y Proteccion Vegetales. vol. 7(2): 245-252
Curran, P.J., 1989. Remote sensing offoliar chemistry. Remote Sens. Environ. vol. 30:271-278
D'Urso, G., E.P. Querner and J.A. Morabito, I 992.Integration of hydrological simulation models
with remotely sensed data: An application to irrigation management. Proc. Intern. Conf.
Advances in Planning, Design and Management of Irrigation Systems as related to sustainable land use. Catholic University; Leuven; Belgium: 463-472
D'Urso, G. and M.Menenti, 1996 a. Mapping crop coefficients in irrigated areas from Landsat
TM images. Proc. European Symposium on Satellite Remote Remote Sensing II. SPIE, Inter.
Soc. Optical Engineering, Bellingham USA, vol. 2585: 41-47
D'Urso and M.Menenti, 1996 b. Performance indicators for the statistical evaluation of digital
image classifications. ISPRS J. Photogramm. Rem. Sens. vol. 51(2): 78-90
Dwivedi, R.S., 1994. Study of salinity and waterlogging in Uttar Pradesh (India) using remote
sensing data. Land Degradation and Rehabilitation vol. 5 (3): 191-199
EI Kady, M. and C.B. Mack, 1992. Use of photographic and non-photographic remote sensing
techniques for agricultural inventory in Egypt. Proc. 16th ICID European Reg. Conf. Vol. 3.
Methods for decision-making and applications: 39-48
Emelyanov, V.A., V.V. Gorbachev and V.A. Karitonov, 1980. Aerospace methods of evaluating
the salinity of irrigated land. Vestnik Sel'skokhozyaistvennoi Nauki. No.7: 120-128
Fernandez, S., D.Vidal, E.Simon and L. Sole-Sugranes, 1994. Radiometric characteristics of
Triticum aestivum cv. Astral under water and nitrogen stress. Int. J. Rem. Sens. vol. 15 (9):
1867-1884
397
nated effort for monitoring the earth's environment: pilot project campaign on Landsat
Thematic Mapper applications 1985-87. ESA IRS Rome, Italy: 41-48
Babaev A.M. and Babaev A.A., 1994. Problems of Desert Development. 1994, No. I, 17-23
Barbosa, P.M., M.A. Casterad and J. Herrero, 1996. Performance of several Landsat 5 Thematic
Mapper (TM) image classification methods for crop extent estimates in an irrigation district.
Int. J. Rem. Sens. Vol. 17 (18): 3665-3674
Bastiaanssen, W.G.M., 1995. RegionaIization of surface flux densities and moisture indicators in
composite terrain. Ph.D. Thesis Agricultural University of Wageningen and Report 109,
DLO- Winand Staring Centre, Wageningen, The Netherlands.: 195 p
Bastiaanssen W.G.M., Wal T. van der and Visser T.N.M., 1996. Diagnosis of regional
evaporation by remote sensing to support irrigation performance assessment. Irr. Drain. Syst.
vol. 1O( I): 1-23
Bausch W.C., 1995. Remote sensing of crop coefficients for improving the irrigation scheduling
of com. Agric.Water Manag. vol. 27(1): 55-68
Ben Asher J., C.J. Phene and A. Kinarti, 1992 Canopy temperature to assess daily evapotranspiration and management of high frequency drip irrigation systems. Agric. Water Manag. vol.
22 (4): 379-390
Brasa-Ramos A., Santa-Olalla F.M. de and Caselles V, 1996. Maximum and actual
evapotranspiration for barley (Hordeum vulgare L.) through NOAA satellite images in
Castilla-La Mancha, Spain. J. Agric. Eng. Res. vol. 63 (4): 283-293
Carton P., 1991. Inventory and mapping of irrigation systems in Algeria using SPOT
data. Options Mediterraneennes. Serie A, Seminaires Mediterraneens No.4: 139-143.
Choudhury, B.J., N.V. Ahmed, S.B. Idso, R.J.Reginato and C.S.T. Daughtry, 1994. Relations
between evaporation coefficients and vegetation indices studied by model simulations.
Remote Sens. Environ. vol. 50: 1-17
Choudhury, B.J., 1997. Global pattern of potential evaporation calculated from the PenmanMonteith equation using satellite and assimilated data. Remote Sens. Environ. vol. 61: 64-81
Cuevas, J.M. and F.Gonzalez,1992.Variacion temporal de las superficies cultivadas en regadio
en el area del Parque Nacional de Donana mediante analisis de imagenes Landsat MSS.
Investigacion Agraria, Produccion y Proteccion Vegetales. vol. 7(2): 245-252
Curran, P.J., 1989. Remote sensing offoliar chemistry. Remote Sens. Environ. vol. 30:271-278
D'Urso, G., E.P. Querner and J.A. Morabito, I 992.Integration of hydrological simulation models
with remotely sensed data: An application to irrigation management. Proc. Intern. Conf.
Advances in Planning, Design and Management of Irrigation Systems as related to sustainable land use. Catholic University; Leuven; Belgium: 463-472
D'Urso, G. and M.Menenti, 1996 a. Mapping crop coefficients in irrigated areas from Landsat
TM images. Proc. European Symposium on Satellite Remote Remote Sensing II. SPIE, Inter.
Soc. Optical Engineering, Bellingham USA, vol. 2585: 41-47
D'Urso and M.Menenti, 1996 b. Performance indicators for the statistical evaluation of digital
image classifications. ISPRS J. Photogramm. Rem. Sens. vol. 51(2): 78-90
Dwivedi, R.S., 1994. Study of salinity and waterlogging in Uttar Pradesh (India) using remote
sensing data. Land Degradation and Rehabilitation vol. 5 (3): 191-199
EI Kady, M. and C.B. Mack, 1992. Use of photographic and non-photographic remote sensing
techniques for agricultural inventory in Egypt. Proc. 16th ICID European Reg. Conf. Vol. 3.
Methods for decision-making and applications: 39-48
Emelyanov, V.A., V.V. Gorbachev and V.A. Karitonov, 1980. Aerospace methods of evaluating
the salinity of irrigated land. Vestnik Sel'skokhozyaistvennoi Nauki. No.7: 120-128
Fernandez, S., D.Vidal, E.Simon and L. Sole-Sugranes, 1994. Radiometric characteristics of
Triticum aestivum cv. Astral under water and nitrogen stress. Int. J. Rem. Sens. vol. 15 (9):
1867-1884