Performance assessment of an irrigation scheme using indicators determined with remote sensing techniques

Irrigation Science

Volumn 28, Issue 6, 2010, Pages 461-477

  Santos, C ^a   Lorite, Ignacio J ^a   Tasumi, M ^b   Allen, R G ^c   Fereres, E ^d  

^a IFAPA CENTRO ALAMEDA DEL OBISPO   (Spain)

^b UNIVERSITY OF MIYAZAKI   (Japan)

^c UNIVERSITY OF IDAHO   (United States)

^d UNIVERSITY OF CÓRDOBA   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

ACTUAL EVAPOTRANSPIRATION; FIELD LEVEL; FIELD SCALE; INPUT DATAS; IRRIGATION PERFORMANCE; IRRIGATION SCHEMES; IRRIGATION WATERS; LIMITED INFORMATION; PERFORMANCE ASSESSMENT; PERFORMANCE INDICATORS; REMOTE SENSING TECHNIQUES; SOUTHERN SPAIN; WATER BALANCE MODELS;

BENCHMARKING; CLIMATE MODELS; REMOTE SENSING; WATER MANAGEMENT; WATER SUPPLY;

IRRIGATION;

EVAPOTRANSPIRATION; IRRIGATION SYSTEM; MODEL TEST; PERFORMANCE ASSESSMENT; REMOTE SENSING; WATER BUDGET;

SPAIN;

EID: 77955714045     PISSN: 03427188     EISSN: 14321319     Source Type: Journal    
DOI: 10.1007/s00271-010-0207-7     Document Type: Article

References (88)

1. Allen RG (2000) Using the FAO-56 dual crop coefficient method over an irrigated region as part of an evapotranspiration intercomparison study. J Hydrol 229: 27-41.
2. Allen RG, Pereira LS, Raes D, Smith M (1998) Crop evapotranspiration: guidelines for computing crop water requirements. FAO Irrigation and Drainage Paper 56. FAO, Rome.
3. Allen RG, Tasumi M, Morse A, Trezza R (2005a) A Landsat-based energy balance and evapotranspiration model in western US water rights regulation and planning. Irrig Drain Syst 19: 251-268.
4. Allen RG, Pereira LS, Smith M, Raes D, Wright JL (2005b) FAO-56 dual crop coefficient method for estimating evaporation from soil and application extensions. J Irrig Drain Eng ASCE 131(1): 2-13.
5. Allen RG, Tasumi M, Trezza R (2007a) Satellite-based energy balance for mapping evapotranspiration with internalized calibration (METRIC)-model. J Irrig Drain Eng ASCE 133(4): 380-394.
6. Allen RG, Tasumi M, Morse A, Trezza R, Wright JL, Bastiaanssen W, Kramber W, Lorite IJ, Robison CW (2007b) Satellite-based energy balance for mapping evapotranspiration with internalized calibration (METRIC)-applications. J Irrig Drain Eng ASCE 133(4): 395-406.
7. ASCE-EWRI (2005) The ASCE standardized reference evapotranspiration equation. Environmental and Water Resources Institute of the ASCE Standardization of Reference Evapotranspiration Task Committee. American Society of Civil Engineers, Reston, p 216.
8. Bandara KMPS (2003) Monitoring irrigation performance in Sri Lanka with high-frequency satellite measurements during the dry season. Agric Water Manag 58: 159-170.
9. Bandara KMPS (2006) Assessing irrigation performance by using remote sensing. Doctoral thesis, Wageningen University, Wageningen.
10. Barrett JWH, Skogerboe GV (1978) Effect of irrigation regime on maize yields. J Irrig Drain Eng ASCE 104: 179-194.
11. Bastiaanssen WGM, Ali S (2003) A new crop yield forecasting model based on satellite measurements applied across the Indus Basin, Pakistan. Agric Ecosyst Environ 94: 321-340.
12. Bastiaanssen WGM, Bos MG (1999) Irrigation performance indicators based on remotely sensed data: a review of literature. Irrig Drain Syst 13: 291-311.
13. Bastiaanssen WGM, Menenti M, Feddes RA, Holtslag AAM (1998) A remote sensing surface energy balance algorithm for land (SEBAL): 1. Formulation. J Hydrol 212-213: 198-212.
14. Bastiaanssen WGM, Molden DJ, Makin IW (2000) Remote sensing for irrigated agriculture: examples from research and possible applications. Agric Water Manag 46: 137-155.
15. Bastiaanssen WGM, Brito RAL, Bos MG, Souza RA, Cavalcanti EB, Bakker MM (2001) Low cost satellite data for monthly irrigation performance monitoring: benchmarks from Nilo Coelho, Brazil. Irrig Drain Syst 15: 53-79.
16. Bastiaanssen WGM, Noordman EJM, Pelgrum H, Davids G, Thoreson BP, Allen RG (2005) SEBAL model with remotely sensed data to improve water-resources management under actual field conditions. J Irrig Drain Eng ASCE 131(1): 85-93.
17. Bastiaanssen WGM, Allen RG, Droogers P, D'Urso G, Steduto P (2007) Twenty-five years modeling irrigated and drained soils: state of the art. Agric Water Manag 92: 111-125.
18. Bos MG, Burton MA, Molden DJ (2005) Irrigation and drainage performance assessment. Practical guidelines. CABI, UK.
19. Burt CM, Styles SW (1999) Modern water control and management practices in irrigation. Impact on performance. Water Reports 19. FAO, Rome.
20. Burt CM, Clemmens AJ, Strelkoff TS, Solomon KH, Bliesner RD, Hardy LA, Howell TA, Eisenhauer DE (1997) Irrigation performance measures: efficiency and uniformity. J Irrig Drain Eng ASCE 123(6): 423-442.
21. Chavez JL, Neale CMU, Prueger JH, Kustas WP (2008) Daily evapotranspiration estimates from extrapolating instantaneous airborne remote sensing ET values. Irrig Sci 27: 67-82.
22. Choi M, Kustas WP, Anderson MC, Allen RG, Li F, Kjaersgaard JH (2009) An intercomparison of three remote sensing-based surface energy balance algorithms over a corn and soybean production region (Iowa, U. S.) during SMACEX. Agric For Meteorol 149(12): 2082-2097.
23. Coelho MB, Villalobos FJ, Mateos L (2003) Modeling root growth and the soil-plant-atmosphere continuum of cotton crops. Agric Water Manag 60: 99-118.
24. Consoli S, D'Urso G, Toscano A (2006) Remote sensing to estimate ET-fluxes and the performance of an irrigation district in southern Italy. Agric Water Manag 81: 295-314.
25. Denmead OT, Shaw RH (1960) The effects of soil moisture stress at different stages of growth on the development and yield of corn. Agron J 52: 272-274.
26. Doorenbos J, Kassam AH (1979) Yield response to water. FAO Irrigation and Drainage Paper 33. FAO, Rome.
27. Doorenbos J, Pruit WO (1977) Guidelines for predicting crop water requirements. FAO Irrigation and Drainage Paper 24. FAO, Rome.
28. Droogers P, Bastiaanssen WGM (2002) Irrigation performance using hydrological and remote sensing modelling. J Irrig Drain Eng ASCE 128(1): 11-18.
29. Droogers P, Kite G (1999) Water productivity from integrated basin modeling. Irrig Drain Syst 13: 275-290.
30. Droogers P, Kite G, Murray-Rust H (2000) Use of simulation models to evaluate irrigation performance including water productivity, risk and system analyses. Irrig Sci 19: 139-145.
31. English MJ, Solomon KH, Hoffman GJ (2002) A paradigm shift in irrigation management. J Irrig Drain Eng ASCE 128(5): 267-277.
32. Er-Raki S, Chehbouni A, Guemouria N, Duchemin B, Ezzahar J, Hadria R (2007) Combining FAO-56 model and ground-based remote sensing to estimate water consumptions of wheat crops in a semi-arid region. Agric Water Manag 87: 41-54.
33. Fereres E, Soriano MA (2007) Deficit irrigation for reducing agricultural water use. J Exp Bot 58: 147-159.
34. Fernández MD, González AM, Carreño J, Pérez C, Bonachela S (2007) Analysis of on-farm irrigation performance in Mediterranean greenhouses. Agric Water Manag 89: 251-260.
35. Field CB, Randerson JT, Malmstrom CM (1995) Global net primary production: combining ecology and remote sensing. Remote Sens Environ 51: 74-88.
36. García-Vila M, Lorite IJ, Soriano MA, Fereres E (2008) Management trends and responses to water scarcity in an irrigation scheme of Southern Spain. Agric Water Manag 95: 458-468.
37. Gavilán P, Lorite IJ, Tornero S, Berengena J (2006) Regional calibration of Hargreaves equation for estimating reference ET in a semiarid environment. Agric Water Manag 81: 257-281.
38. Gower ST, Kucharik CJ, Norman JM (1999) Direct and indirect estimation of leaf area index, fAPAR, and net primary production of terrestrial ecosystems. Remote Sens Environ 70: 29-51.
39. Hartkamp AD, White JW, Hoogenboom G (1999) Interfacing geographic information systems with agronomic modeling: a review. Agron J 91: 761-772.
40. Hellegers PJGJ, Soppe R, Perry CJ, Bastiaanssen WGM (2009) Combining remote sensing and economic analysis to support decisions that affect water productivity. Irrig Sci 27: 243-251.
41. Howell TA (2001) Enhancing water use efficiency in irrigated agriculture. Agron J 93: 281-289.
42. Hsiao TC, Steduto P, Fereres E (2007) A systematic and quantitative approach to improve water use efficiency in agriculture. Irrig Sci 25: 209-231.
43. Immerzeel WW, Gaur A, Zwart SJ (2008) Integrating remote sensing and a process-based hydrological model to evaluate water use and productivity in a south Indian catchment. Agric Water Manag 95: 11-24.
44. Kalu IL, Paudyal GN, Gupta AD (1995) Equity and efficiency issues in irrigation water distribution. Agric Water Manag 28: 335-348.
45. Karatas BS, Akkuzu E, Unal HB, Asik S, Avci M (2009) Using satellite remote sensing to assess irrigation performance in water user associations in the Lower Gediz Basin, Turkey. Agric Water Manag 96: 981-990.
46. Kite G (2000) Using a basin-scale hydrological model to estimate crop transpiration and soil evaporation. J Hydrol 229: 59-69.
47. Kite G, Droogers P (2000) Comparing ET estimates from satellites, hydrological models and field data. J Hydrol 229: 3-18.
48. Kloezen WH, Garcés-Restrepo C (1998) Assessing irrigation performance with comparative indicators: the case of the Alto Rio Lerma Irrigation District, Mexico. Research Report 22. Irrigation Water Management Institute, Colombo.
49. Lobell D, Asner GP, Ortiz-Monasterio JI, Benning TL (2003) Remote sensing of regional crop production in the Yaqui Valley, Mexico: estimates and uncertainties. Agric Ecosyst Environ 94: 205-220.
50. Lorite IJ, Mateos L, Fereres E (2004a) Evaluating irrigation performance in a Mediterranean environment. I. Model and general assessment of an irrigation scheme. Irrig Sci 23: 77-84.
51. Lorite IJ, Mateos L, Fereres E (2004b) Evaluating irrigation performance in a Mediterranean environment. II. Variability among crops and farmers. Irrig Sci 23: 85-92.
52. Lorite IJ, Mateos L, Fereres E (2005) Impact of spatial and temporal aggregation of input parameters on the assessment of irrigation scheme performance. J Hydrol 300: 286-299.
53. Lorite IJ, Mateos L, Orgaz F, Fereres E (2007) Assessing deficit irrigation strategies at the level of an irrigation district. Agric Water Manag 91: 51-60.
54. Maas SJ (1988) Use of remotely sensed information in agricultural crop growth models. Ecol Model 41: 247-268.
55. Malano H, Burton M (2001) Guidelines for benchmarking performance in the irrigation and drainage sector. International Programme for Technology and Research in Irrigation and Drainage. FAO, Rome.
56. Mantovani EC, Villalobos FJ, Orgaz F, Fereres E (1995) Modelling the effects of sprinkler irrigation uniformity on crop yield. Agric Water Manag 27: 243-257.
57. MAPA (2002) Plan Nacional de Regadíos. Real Decreto 329/2002.
58. MIMAM (1998) El libro blanco del agua en España. Ministerio de Medio Ambiente, Madrid.
59. Mo X, Liu S, Lin Z, Xu Y, Xiang Y, McVicar TR (2005) Prediction of crop yield, water consumption and water use efficiency with a SVAT-crop growth model using remotely sensed data on the North China Plain. Ecol Model 183: 301-322.
60. Molden DJ, Gates TK (1990) Performance measures for evaluation of irrigation water delivery systems. J Irrig Drain Eng ASCE 116: 804-823.
61. Molden DJ, Sakthivadivel R, Perry CJ, de Fraiture C, Kloezen WH (1998) Indicators for comparing performance of irrigated agricultural systems. Research Report 20. International Water Management Institute, Colombo.
62. Monteith JL (1972) Solar radiation and productivity in tropical ecosystems. J Appl Ecol 9: 747-766.
63. Moriondo M, Maselli F, Hindi M (2007) A simple model of regional wheat yield based on NDVI data. Eur J Agron 26: 266-274.
64. Olioso A, Chauki H, Courault D, Wigneron J (1999) Estimation of evapotranspiration and photosynthesis by assimilation of remote sensing data into SVAT models. Remote Sens Environ 68: 341-356.
65. Panigrahy S, Manjunath KR, Ray SS (2005) Deriving cropping system performance indices using remote sensing data and GIS. Int J Remote Sens 26(12): 2595-2606.
66. Patel NR, Bhattacharjee B, Mohammed AJ, Tanupriya B, Saha SK (2006) Remote sensing of regional yield assessment of wheat in Haryana, India. Int J Remote Sens 27(19): 4071-4090.
67. Plummer SE (2000) Perspectives on combining ecological process models and remotely sensed data. Ecol Model 129: 169-186.
68. Ray SS, Dadhwal VK, Navalgund RR (2002) Performance evaluation of an irrigation command area using remote sensing: a case study of Mahi command, Gujarat, India. Agric Water Manag 56: 81-91.
69. Robins JS, Domingo CE (1953) Some effects of severe soil moisture deficits at specific growth stages in corn. Agron J 45: 618-621.
70. Rodríguez-Díaz JA, Camacho-Poyato E, López-Luque R, Pérez-Urrestarazu L (2008) Benchmarking and multivariate data analysis techniques for improving the efficiency of irrigation districts. An application in Spain. Agric Syst 96: 250-259.
71. Roebeling RA, van Putten E, Genovese G, Rosema A (2004) Application of Meteosat derived meteorological information for crop yield predictions in Europe. Int J Remote Sens 25(23): 5389-5401.
72. Roerink GJ, Bastiaanssen WGM, Chambouleyron J, Menenti M (1997) Relating crop water consumption to irrigation water supply by remote sensing. Water Resour Manag 11: 445-465.
73. Sanaee-Jahromi S, Feyen J (2001) Spatial and temporal variability performance of the water delivery in irrigation schemes. Irrig Drain Syst 15: 215-233.
74. Santos C, Lorite IJ, Tasumi M, Allen RG, Fereres E (2008) Integrating satellite-based evapotranspiration with simulation models for irrigation management at the scheme level. Irrig Sci 26: 277-288.
75. Sarma PBS, Rao VV (1997) Evaluation of an irrigation water management scheme-a case study. Agric Water Manag 32: 181-195.
76. Sepulcre-Cantó G, Zarco-Tejada PJ, Jiménez-Muñoz JC, Sobrino JA, de Miguel E, Villalobos FJ (2006) Detection of water stress in an olive orchard with thermal remote sensing imagery. Agric For Meteorol 136: 31-44.
77. Soil Conservation Service (1972) National engineering handbook. USDA-Soil Conservation Service, Washington, DC.
78. Stewart JI, Hagan RM (1973) Functions to predict effects of crop water deficits. J Irrig Drain Div ASCE 99: 421-439.
79. Stockle CO, Donatelli M, Nelson R (2003) CropSyst, a cropping system simulation model. Eur J Agron 18: 239-307.
80. Tasumi M, Allen RG (2007) Satellite-based ET mapping to assess variation in ET with timing of crop development. Agric Water Manag 88: 54-62.
81. Tasumi M, Trezza R, Allen RG, Wright J (2005) Operational aspects of satellite-based energy balance models for irrigated crops in the semi-arid US. Irrig Drain Syst 19: 355-376.
82. Teixeira AHC, Bastiaanssen WGM, Moura MSB, Soares JM, Ahmad MD, Bos MG (2008) Energy and water balance measurements for water productivity analysis in irrigated mango trees, Northeast Brazil. Agric For Meteorol 148: 1524-1537.
83. Teixeira AHC, Bastiaanssen WGM, Ahmadd MD, Bos MG (2009a) Reviewing SEBAL input parameters for assessing evapotranspiration and water productivity for the Low-Middle Sao Francisco River basin, Brazil. Part A: calibration and validation. Agric For Meteorol 149: 462-476.
84. Teixeira AHC, Bastiaanssen WGM, Ahmadd MD, Bos MG (2009b) Reviewing SEBAL input parameters for assessing evapotranspiration and water productivity for the Low-Middle Sao Francisco River basin, Brazil. Part B: application to the regional scale. Agric For Meteorol 149: 477-490.
85. Vicente-Serrano SM, Cuadrat-Prats JM, Romo A (2006) Early prediction of crop production using drought indices at different time-scales and remote sensing data: application in the Ebro Valley (north-east Spain). Int J Remote Sens 27(3): 511-518.
86. Williams JR (1991) Runoff and water erosion. In: Hanks J, Ritchie JT (eds) Modeling plant and soil systems. ASA/CSSA/SSSA, Madison, pp 439-455.
87. Zwart SJ, Bastiaanssen WGM (2004) Review of measured crop water productivity values for irrigated wheat, rice, cotton and maize. Agric Water Manag 69: 115-133.
88. Zwart SJ, Bastiaanssen WGM (2007) SEBAL for detecting spatial variation of water productivity and scope for improvement in eight irrigated wheat systems. Agric Water Manag 89: 287-296.