Skip to main content
Log in

Irrigation Performance Indicators Based on Remotely Sensed Data: a Review of Literature

  • Published:
Irrigation and Drainage Systems

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evapo-transpiration includes wateroriginating from irrigation supply, water fromprecipitation, groundwater and water withdrawn fromthe unsaturated zone.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.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  • 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.

    Google Scholar 

  • 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.

    Google Scholar 

  • 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.

    Google Scholar 

  • ASCE, 1978. Describing irrigation efficiency and uniformity, J. Irrig. Drainage Div., ASCE 104(1): 35–41.

    Google Scholar 

  • 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.

    Google Scholar 

  • 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.

    Google Scholar 

  • 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.

    Google Scholar 

  • 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.

    Google Scholar 

  • 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.

    Google Scholar 

  • 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.

    Google Scholar 

  • 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.

    Google Scholar 

  • 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.

    Google Scholar 

  • 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.

    Google Scholar 

  • 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.

    Google Scholar 

  • 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.

    Google Scholar 

  • Bos, M.G. 1997. Performance indicators for irrigation and drainage, Irrigation and Drainage Systems 11: 119–137.

    Google Scholar 

  • 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.

    Google Scholar 

  • Christiansen, J.E., 1942. Irrigation by Sprinkling, California Agric. Expt. Station, Bulletin 670, Univ. of Cal., Berkeley, California.

    Google Scholar 

  • Clemmens, A.J. & Bos, M.G. 1990. Statistical methods for irrigation system delivery performance evaluation, Irrigation and Drainage Systems 4: 345–365.

    Google Scholar 

  • 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.

    Google Scholar 

  • 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.

    Google Scholar 

  • 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.

    Google Scholar 

  • 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.

    Google Scholar 

  • 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.

    Google Scholar 

  • Jackson, R.D., 1984. Remote sensing of vegetation characteristics for farm management, SPIE Rem. Sens. 475: 81–96.

    Google Scholar 

  • 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.

    Google Scholar 

  • Menenti, M. 1990. Remote Sensing in Evaluation and Management of Irrigation, Instituto Nacional de Ciencia y Tecnicas Hidricas (INCYTH), Mendoza, Argentina: 337 pp.

    Google Scholar 

  • 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.

    Google Scholar 

  • 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.

    Google Scholar 

  • Molden, D.J., 1997. Accouting for water use and productivity, SWIM Paper 1, International Water Management Institute, Colombo, Sri Lanka: 16 pp.

    Google Scholar 

  • 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.

    Google Scholar 

  • 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.

    Google Scholar 

  • Moran, M.S., 1994. Irrigation management in Arizona using satellites and airplanes, Irrig. Science 15: 35–44.

    Google Scholar 

  • 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.

    Google Scholar 

  • 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.

    Google Scholar 

  • Murray-Rust, D.H. & Merrey, D.J. 1994. Irrigated agriculture beyond 2000: institutional adaptation and transformation, IIMI Review 8(13): 21–28.

    Google Scholar 

  • Perry, C.J., 1999. The IWMI water resources paradigm - definitions and implications, Agr. Water Management 40: 45–50.

    Google Scholar 

  • Rao, P.S., 1993. Review of Selected Literature on Indicators of Irrigation Performance, International Irrigation Management Institute, Colombo, Sri Lanka: 75 pp.

    Google Scholar 

  • 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.

    Google Scholar 

  • 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.

    Google Scholar 

  • 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.

    Google Scholar 

  • Small, L.E. & Svendsen, M. 1990. A framework for assessing irrigation performance, Irrigation and Drainage Systems 4: 283–312.

    Google Scholar 

  • 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.

    Google Scholar 

  • 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.

    Google Scholar 

  • 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.

    Google Scholar 

  • 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.

    Google Scholar 

  • 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.

    Google Scholar 

  • 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.

    Google Scholar 

  • 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.

    Google Scholar 

  • Vidal, A. & Sagardoy, J.A. 1995. Use of Remote Sensing Techniques in Irrigation and Drainage, Water Reports 4, FAO, Rome, Italy: 202 pp.

    Google Scholar 

  • 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.

    Google Scholar 

  • 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.

    Google Scholar 

  • Wolters, W. 1992, Influences on the efficiency of irrigation water use. PhD Thesis, Delft University of Technology, 150 pp.

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

About this article

Cite this article

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

Download citation

  • Issue Date:

  • DOI: https://doi.org/10.1023/A:1006355315251

Navigation