Irrigation Performance using Hydrological and Remote Sensing Modeling

Development of water saving measures requires a thorough understanding of the water balance. Irrigation performance and water accounting are useful tools to assess water use and related productivity. Remote sensing and a hydrological model were applied to an irrigation project in western Turkey to estimate the water balance to support water use and productivity analyses. Remote sensing techniques can produce high spatial coverage of important terms in the water balance for large areas, but at the cost of a rather sparse temporal resolution. Hydrological models can produce all the terms of the water balance at a high temporal, but low spatial resolution. Actual evapotranspiration for an irrigated area in western Turkey was calculated using the surface energy balance algorithm for land (SEBAL) remote sensing land algorithm for two Landsat images. The hydrological model soil-water-atmosphere-plant (SWAP) was setup to simulate the water balance for the same area, assuming a certain distribution in soil proper...

[1]  W. Bastiaanssen,et al.  A remote sensing surface energy balance algorithm for land (SEBAL). , 1998 .

[2]  Daoyi Chen,et al.  Diurnal Variation of Surface Fluxes During Thorough Drying (or Severe Drought) of Natural Prairie , 1996 .

[3]  N. U. Ahmed,et al.  Relations between evaporation coefficients and vegetation indices studied by model simulations , 1994 .

[4]  J. Wolf,et al.  WOFOST: a simulation model of crop production. , 1989 .

[5]  M. Gibaldi,et al.  Estimation of Areas , 1982 .

[6]  Peter Droogers,et al.  Use of simulation models to evaluate irrigation performance including water productivity, risk and system analyses , 2000, Irrigation Science.

[7]  M. Tapkenhinrichs,et al.  Evaluation of Pedo-Transfer Functions , 1993 .

[8]  F. Baret,et al.  Potentials and limits of vegetation indices for LAI and APAR assessment , 1991 .

[9]  A. Holtslag,et al.  A remote sensing surface energy balance algorithm for land (SEBAL)-1. Formulation , 1998 .

[10]  David Molden,et al.  Accounting for water use and productivity , 1997 .

[11]  Ramaswamy Sakthivadivel,et al.  Cumulative relative water supply: A methodology for assessing irrigation system performance , 1993 .

[12]  Wim G.M. Bastiaanssen,et al.  Relating Crop Water Consumption to Irrigation Water Supply by Remote Sensing , 1997 .

[13]  Wim G.M. Bastiaanssen,et al.  Diagnosis of regional evaporation by remote sensing to support irrigation performance assessment , 1996 .

[14]  E. E. Miller,et al.  Physical Theory for Capillary Flow Phenomena , 1956 .

[15]  Comparing estimates of actual evapotranspiration from satellites, hydrological models, and field data : a case study from Western Turkey , 2000 .

[16]  Karin S. Fassnacht,et al.  Relationships between leaf area index and Landsat TM spectral vegetation indices across three temperate zone sites , 1999 .

[17]  W. Meijninger,et al.  The sensible heat fluxes over irrigated areas in western Turkey determined with a large aperture scintillometer. , 2000 .

[18]  M. Imtiyaz,et al.  Yield and economic return of vegetable crops under variable irrigation , 2000, Irrigation Science.

[19]  P. Droogers.  Estimating actual evapotranspiration using a detailed agro-hydrological model , 2000 .

[20]  Peter Droogers,et al.  Comparing evapotranspiration estimates from satellites, hydrological models and field data , 2000 .

[21]  W. Bastiaanssen.  SEBAL-based sensible and latent heat fluxes in the irrigated Gediz Basin, Turkey , 2000 .

[22]  Albert J. Clemmens,et al.  Irrigation Performance Measures: Efficiency and Uniformity , 1997 .

[23]  Jean L. Steiner,et al.  Bowen ratio, eddy correlation, and portable chamber measurements of sensible and latent heat flux over irrigated spring wheat* , 1991 .

[24]  G. Kite,et al.  Water Productivity from Integrated Basin Modeling , 1999 .

[25]  Ramaswamy Sakthivadivel,et al.  Water Accounting to Assess Use and Productivity of Water , 1999 .