Abstract
The earlier generation of irrigation performanceindicators was based on canal flow data. Commonly,they quantify performance in a command area downstreamof a discharge measurement device. Remote sensingdeterminants, such as actual evapo-transpiration, soilwater content and crop growth reflect the overallwater utilization at a range of scales, up to fieldlevel. Crop evapo-transpiration includes wateroriginating from irrigation supply, water fromprecipitation, groundwater and water withdrawn fromthe unsaturated zone. Hence, this is a refinement inspatial scale as compared to the classicallycollected flow measurements, and describes moreoverdepletion from all water resources. If thesepossibilities are well implemented, we expect that anew generation of irrigation performance indicatorscan be quantified in a cost-effective manner.Especially, because satellite measurements pave a wayto standardize data collection between differentirrigation schemes and among different countries atcosts which are currently decreasing. These challengescan only turn into a success if irrigation managersare involved in pilot projects and demonstrationstudies exploring satellite data.
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Agarwal, M.C. & Roest, C.W.J. 1996. Towards improved water management in Haryana State, Final Report Indo-Dutch Operational Research Project on Hydrogical Studies, Haryana Agricultural University Hisar, India/DLO-Winand Staring Centre, Wageningen, The Netherlands/ILRI, Wageningen, The Netherlands: 80 pp.
Alexandridis, T., Asi S. & Ali, S. 1999. Water performance indicators using satellite imagery for the Fordwah Eastern Sadiqia (South) irrigation and drainage project. Report no. R-87, International Water Management Institute, Lahore, Pakistan: 16 pp.
Ambast, S.K., Singh, O.P., Tyagi, N.K., Menenti, M., Roerink, G.J. & Bastiaanssen, W.G.M. 1999. Appraisal of irrigation system performance in saline irrigated command using SRS and GIS, in Nieuwenhuis et al. (eds.) Operational Remote Sensing for Sustainable Development, Balkema, Rotterdam, 457–461.
ASCE, 1978. Describing irrigation efficiency and uniformity, J. Irrig. Drainage Div., ASCE 104(1): 35–41.
Azzali, S. & Menenti, M., 1987. Irrigation water management in two Italian irrigation districts, proc. Workshop on Earthnet Pilot Project on Landsat-TM applications, December 987, Frascati, Italy: 41–48.
Azzali, S., Menenti, M., Meeuwissen, I.J.M. & Visser, T.N.M. 1991. Application of remote sensing techniques to map crop coefficients in an Argentinian irrigation scheme, in Tsakiris (ed.), Advances in Water Research, Balkema, Rotterdam: 637–643.
Bastiaanssen, W.G.M., Wal, T. van der & Visser, T.N.M. 1996. Diagnosis of regional evaporation by remote sensing to support irrigation performance assessment, Irrigation and Drainage Systems 10: 1–23.
Bastiaanssen, W.G.M., 1998. Remote Sensing in Water Resources Management: The State of the Art, International Water Management Institute, Colombo, Sri Lanka: 118 pp.
Bastiaanssen, W.G.M., Pelgrum, H., Wang, J., Ma, Y., Moreno, J.F., Roerink, G.J. & van der Wal, T. 1998. A remote sensing surface energy balance algorithm for land (SEBAL), part 2: validation, J. Hydrol. 212-213: 213–229.
Bastiaanssen, W.G.M., SEBAL based sensible and latent heat fluxes in the irrigated Gediz Basin, Turkey, J. Hydr. (in press).
Bastiaanssen, W.G.M., Molden, D.J., Thiruvengadachari, S., Smit, A.A.M.F.R., Mutuwatte, L. & Jayasinghe, G. 1999a. Remote sensing and hydrological models for performance assessment in Sirsa Irrigation Circle, India, Research Report 27, Colombo, Sri Lanka, International Water Management Institute: 29 pp.
Bastiaanssen, W.G.M., Thiruvengadachari, S., Sakthivadivel, R. & Molden, D.J. 1999b. Satellite remote sensing for estimating producitivities of land and water, Int. Journal Water Resources Development 15/2: 181–186.
Bastiaanssen, W.G.M., Chemin, Y., Ahmad, M.D. & Ali, S. 1999c. Patterns of crop evaporation in the Indus Basin recognized from the NOAA-AVHRR satellite, in Musy, A., Fischer, M. & Pereira, L.S. (eds.) Proc. ICID 2nd Regional Conference on Environment and Water, 1-4 September 1999, ETH, Lausanne, Swiss: 15 pp.
Ben Asher, J., Phene, C.J. & Kinarti, A. 1986. Canopy temperature to assess daily evapotranspiration and management of high frequency drip irrigation systems, Agr. Water Management 22(4): 379–390.
Bos, M.G. and Nugteren, J. 1974. On Irrigation Efficiencies, Publication no. 19, International Institute for Land Reclamation and Improvement (ILRI), Wageningen, The Netherlands: 138 pp.
Bos, M.G., 1976. Discharge Measurement Structures. 1st Edition 1976; 2nd Edition 1978; 3rd Revised Edition 1989. Publication 20. International Institute for Land Reclamation and Improvement/ILRI, Wageningen: 399 pp.
Bos, M.G., Wolters, W., Drovandi, A. & Morabito, J.A. 1991. The Viejo Retamo Secondary Canal - performance evaluation case study: Mendoza, Argentina, Irrigation and Drainage Systems 5: 77–88.
Bos, M.G., Murray-Rust, D.H., Merrey, D.J. Johnson, H.G. & Snellen, W.B. 1994. Methodologies for assessing performance of irrigation and drainage management, Irrigation and Drainage Systems 7: 231–261.
Bos, M.G. 1997. Performance indicators for irrigation and drainage, Irrigation and Drainage Systems 11: 119–137.
Burt, C.M., Clemmens, A.J., Strelkoff, T.S., Solomon, K.H., Bliesner, R.D., Hardy, L.A., Howell, T.A. & Eisenhauer, D.E. 1997. Irrigation performance measures: efficiency and uniformity, J. of Irrigation and Drainage Engineering 123(6): 423–442.
Christiansen, J.E., 1942. Irrigation by Sprinkling, California Agric. Expt. Station, Bulletin 670, Univ. of Cal., Berkeley, California.
Clemmens, A.J. & Bos, M.G. 1990. Statistical methods for irrigation system delivery performance evaluation, Irrigation and Drainage Systems 4: 345–365.
Clemmens, A.J. & Solomon, K.H. 1997. Estimation of global irrigation distribution uniformity, Journal of Irrigation and Drainage Engineering Nov: 454–461.
Crago, R.D. 1996. Conservation and variability of the evaporative fraction during the daytime, J. of Hydrol. 180: 173–194.
Droogers, P., Kite, G.W. & Bastiaanssen, W.G.M. 1999. Integrated basin modeling to evaluate water productivity, Proc. 17th Congress ICID, Question 48, R 1.01, vol. 1A, 11-19 September, 1999, Granada, Spain: 1–13.
D'Urso, G., Querner, E.P. & Morabito, J.A. 1992. Integration of hydrological simulation models with remotely sensed data: an application to irrigation management, In Feyen et al. (eds.), Advances in Planning, Design and Management of Irrigation Systems as Related to Sustainable Land Use, Proc. Int Conf. Leuven, 14-17 September 1992: 473–483.
Engman, E.T. & Chauhan, N. 1995. Status of microwave soil moisture measurements with remote sensing, Rem. Sens. of Env. 51: 189–198.
Garatuza-Payan, J., Shuttleworth, W.J., Encinas, D., Mcneil, D.D., Stewart, J.B., Bruin, H.A.R. de & Watts, C. Measurement and modelling evaporation for irrigated crops in northwest Mexico, Hydr. Processes 12: 1397-1418.
Hanks, R.J., 1974. Model for predicting plant yield as influenced by water use, Agron. J. 65: 660–665.
Jackson, R.D., Idso, S.B., Reginato, R.J. & Pinter, P.J. 1981. Canopy temperature as a crop water stress indicator, Water Resources Research 17: 1133–1138.
Jackson, R.D., 1984. Remote sensing of vegetation characteristics for farm management, SPIE Rem. Sens. 475: 81–96.
Jensen, M.E., 1977. Water Conservation and Irrigation Systems. Climate Techn. Sem. Proc., Columbia, Missouri.
Levine, G., 1982. Relative water supply: an explanatory variable for irrigation systems, Technical Report no. 6, Cornell University, Ithaca, New York.
Makin, I.W., 1986. Applications of remotely sensed multispectral data in monitoring saline soils, Technical Note 19, Hydraulic Research, Wallingford/Irrigation and Power Research Institute, Amritsar, India.
Menenti, M. 1990. Remote Sensing in Evaluation and Management of Irrigation, Instituto Nacional de Ciencia y Tecnicas Hidricas (INCYTH), Mendoza, Argentina: 337 pp.
Menenti, M., Visser, T.N.M., Morabito, J.A. & Drovandi, A. 1989. Appraisal of irrigation performance with satellite data and georeferenced information, in Rydzewski, J.R. and Ward, C.F. (eds.) Irrigation, Theory and Practice, Proc. of the Int. Conf., Institute of Irrigation Studies, Southampton, 12-15 September 1989: 785–801. Pentech Press, London.
Menenti, M., Azzali, S. & D'Urso, G. 1996. Remote sensing, GIS and hydrological modelling for irrigation management, in Pereira, L.S. et al. (eds.), Sustainability of Irrigated Agriculture, Kluwer Academic Publishers, Dordrecht: 453–472.
Molden, D.J., 1997. Accouting for water use and productivity, SWIM Paper 1, International Water Management Institute, Colombo, Sri Lanka: 16 pp.
Molden, D.J. & Sakthivadivel, R. 1999. Water accounting to assess use and productivity of water, Int. J. of Water Resources Development 15(1/2): 55–71.
Morabito, J., Bos, M.G., Vos, S. & Brouwer, R. 1998. The quality of service provided by the irrigation department to the users associations, Tunuyan System, Mendoza, Argentina, Irrigation and Drainage Systems 12: 49–65.
Moran, M.S., 1994. Irrigation management in Arizona using satellites and airplanes, Irrig. Science 15: 35–44.
Moran, M.S., Clarke, T.R., Inoue, Y. & Vidal, A. 1994. Estimating crop water deficit using the relation between surface-air temperature and spectral vegetation index, Rem. Sens. of Env. 49(2): 246–263.
Murray-Rust, D.H. & Snellen, W.B. 1993. Irrigation system performance assessment and diagnosis, IIMI, ILRI, IHE, International Irrigation Management Institute, Colombo, Sri Lanka: 148 pp.
Murray-Rust, D.H. & Merrey, D.J. 1994. Irrigated agriculture beyond 2000: institutional adaptation and transformation, IIMI Review 8(13): 21–28.
Perry, C.J., 1999. The IWMI water resources paradigm - definitions and implications, Agr. Water Management 40: 45–50.
Rao, P.S., 1993. Review of Selected Literature on Indicators of Irrigation Performance, International Irrigation Management Institute, Colombo, Sri Lanka: 75 pp.
Rao, N.P.P. & Mohankumar, A. 1994. Cropland inventory in the command area of Krishnarajasagar project using satellite data, Int. J. of Rem. Sens. 15(6): 1295–1305.
Roerink, G.J., 1994. The impact of satellite sensor resolution on the regional evaporation statistics in large-scale irrigation schemes, a case study in the Mendoza Province, Argentina, M.Sc. Thesis, Internal Note 312, DLO-Winand Staring Centre, Wageningen, The Netherlands: 58 pp + annexes.
Roerink, G.J., Bastiaanssen, W.G.M., Chambouleyron, J. & Menenti, M. 1997. Relating crop water consumption to irrigation water supply by remote sensing, Water Resources Management 11(6): 445–465.
Sakthivadivel, R., Thiruvengadachari, S., Amerasinghe, U., Bastiaanssen, W.G.M. & Molden, D.J. 1999a. Performance evaluation of the Bhakra irrigation system, India, using remote sensing and GIS techniques, Research Report 28, International Water Management Institute, Colombo, Sri Lanka: 22 pp.
Small, L.E. & Svendsen, M. 1990. A framework for assessing irrigation performance, Irrigation and Drainage Systems 4: 283–312.
Somma, G., Zeeuw, C.J. de, Su, Z. & Menenti, M. 1999. Application of space techniques to derive energy fluxes for water management in (semi-) arid zones, in Nieuwenhuis et al. (eds.), Operational Remote Sensing for Sustainable Development, Balkema, Rotterdam.
Stewart, J.I. & Hagan, R.H. 1973. Functions to predict effects of crop water deficits, J. Irr. and Drainage Division ASCE 99(IR4): 421–439.
Tennakoon, Murthy and Eiumnoh, 1992. Estimation of cropped area and grain yield of rice using remote sensing data, Int. J. of Rem. Sens. 13: 427–439.
Thiruvengadachari, S., 1996. Use of satellite remote sensing in irrigation system management, proc. symp. on management information systems in irrigation and drainage; 16th Congress on Irrigation and Drainag, ICID, New Delhi.
Thiruvengadachari, S. & Sakthivadivel, R. 1997. Satellite remote sensing techniques to aid irrigation system performance assessment: a case study in India, Research Report 9, International Water Management Institute, Colombo, Sri Lanka: 23 pp.
Till, M.R. & Bos, M.G. 1985. The Influence of Uniformity and Leaching on the Field Application Efficiency, ICID Bulletin, New Delhi 34 (1): 32–36.
Vidal, A. & Perrier, A. 1990. Irrigation monitoring by following the water balance from NOAA-AVHRR thermal infrared data, IEEE Transactions on Geoscience and Remote Sensing 28: 949–954.
Vidal, A. & Sagardoy, J.A. 1995. Use of Remote Sensing Techniques in Irrigation and Drainage, Water Reports 4, FAO, Rome, Italy: 202 pp.
Vidal, A. & Bagri, A. 1995. Management of large irrigation projects in Morocco, in Vidal, A. and Sagardoy J.A. (eds.), Use of Remote Sensing Techniques in Irrigation and Drainage, Water Reports 4, FAO, Rome, Italy: 99–105.
Vincent, B., Vidal, A., Tabbet, D., Baqri, A. & Kuper, M. 1996. Use of satellite remote sensing for the assessment of waterlogging or salinity as an indication of the performance of drained systems, proc. 16th International Congress ICID, Cairo, Workshop on the Evaluation of the Performance of Subsurface Drainage Systems: 203–216.
Wolters, W., Zevenbergen, A.W. & Bos, M.G. 1991. Satellite remote sensing in irrigation, Irrigation and Drainage Systems 5: 307–323.
Wolters, W. 1992, Influences on the efficiency of irrigation water use. PhD Thesis, Delft University of Technology, 150 pp.
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Bastiaanssen, W., Bos, M. Irrigation Performance Indicators Based on Remotely Sensed Data: a Review of Literature. Irrigation and Drainage Systems 13, 291–311 (1999). https://doi.org/10.1023/A:1006355315251
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DOI: https://doi.org/10.1023/A:1006355315251