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Volumn 343, Issue , 2011, Pages 157-162

Irrigation demand forecasting using remote sensing and meteorological data in semi-arid regions

Author keywords

Evapotranspiration; Irrigated agriculture; Remote sensing; Water management

Indexed keywords

COLEAMBALLY IRRIGATION AREAS; CROPPING SEASONS; DEMAND AND SUPPLY; DEMAND FORECASTING; HOLISTIC APPROACH; HYDROLOGICAL DATA; IRRIGATED AGRICULTURE; IRRIGATED CROPS; IRRIGATION SYSTEMS; IRRIGATION WATERS; LANDSAT-5; LARGE PARTS; METEOROLOGICAL DATA; METEOROLOGICAL PARAMETERS; MURRAY-DARLING BASIN; REAL TIME; SATELLITE IMAGES; SEMI-ARID REGION; SPATIAL VARIABILITY; SPATIOTEMPORAL VARIABILITY; SUSTAINABLE USE; WATER DEMAND; WATER SAVING; WATER USE EFFICIENCY;

EID: 84860570704     PISSN: 01447815     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (4)

References (12)
  • 1
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  • 5
    • 84860587628 scopus 로고    scopus 로고
    • IWMI, International Water Management Institute (IWMI) Strategic Plan 2009-2013
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    • (2009) Water for A Food Secure World
  • 6
    • 80052928816 scopus 로고    scopus 로고
    • Spatial mapping of water productivity in irrigation system using geo-information techniques
    • 10-13 December 2007, University of Canterbury, Christchurch, New Zealand
    • Khan, S. & Hafeez, M. M. (2007) Spatial mapping of water productivity in irrigation system using geo-information techniques. In: Int. Congress on Modelling and Simulation (10-13 December 2007, University of Canterbury, Christchurch, New Zealand).
    • (2007) Int. Congress on Modelling and Simulation
    • Khan, S.1    Hafeez, M.M.2
  • 7
    • 3843108829 scopus 로고    scopus 로고
    • Estimating reference evaporation and crop evapotranspiration from weather data and crop coefficients: An addendum to research project 84/162 quantifying components of water balance under irrigated crop
    • Meyer, W. S., Smith, D. i & Shell, G (1999) Estimating reference evaporation and crop evapotranspiration from weather data and crop coefficients: An addendum to research project 84/162 quantifying components of water balance under irrigated crop. CSIRO Land and Water, Technical Report 34/98.
    • (1999) CSIRO Land and Water, Technical Report 34/98
    • Meyer, W.S.1    Smith, D.J.2    Shell, G.3
  • 8
    • 34250206968 scopus 로고    scopus 로고
    • Linear regressions and neural approaches to water demand forecasting in irrigation districts with telemetry systems
    • Pulido Calvo, I. P., Montesinosb, P., Roldanb, J. & Navarrob, F. R. (2007) Linear regressions and neural approaches to water demand forecasting in irrigation districts with telemetry systems. Biosystem Engng 97,283-293.
    • (2007) Biosystem Engng , vol.97 , pp. 283-293
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  • 9
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    • Improved irrigation water demand forecasting using soft computing hybrid model
    • Pulido-Calvo, I. & Gutierrez-Estrada, J. C. (2009) Improved irrigation water demand forecasting using soft computing hybrid model. Biosystems Engng 102(2), 202-218.
    • (2009) Biosystems Engng , vol.102 , Issue.2 , pp. 202-218
    • Pulido-Calvo, I.1    Gutierrez-Estrada, J.C.2
  • 10
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    • Application of the SEBAL methodology for estimating consumptive use of water and stream flow depletion in the Bear River Basin of Idaho through Remote Sensing
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    • Tasumi, M., Bastiaanssen, W. G. M. & Allen, R. G. (2000) Application of the SEBAL methodology for estimating consumptive use of water and stream flow depletion in the Bear River Basin of Idaho through Remote Sensing. Appendix C: A step-by-step guide to running SEBAL. EOSDIS Project Final Report, The Raytheon Systems Company and the University of Idaho, USA.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.