Jump to ContentJump to Main Navigation

Environmental and Climate Technologies

The Journal of Riga Technical University

2 Issues per year

Access brought to you by:

Google Googlebot - Web Crawler SEO

Open Access
VolumeIssuePage

Open Access

Remote Sensing Applications for Planning Irrigation Management. The Use of SEBAL Methodology for Estimating Crop Evapotranspiration in Cyprus

1Agricultural Research Institute of Cyprus

2Cyprus University of Technology

3Private Researcher

This content is open access.

Citation Information: Scientific Journal of Riga Technical University. Environmental and Climate Technologies. Volume 9, Issue , Pages 17–21, ISSN (Online) 2255-8845, ISSN (Print) 1691-5208, DOI: 10.2478/v10145-012-0012-z, December 2012

Publication History

Published Online:
2012-12-14

Abstract

Water allocation to crops has always been of great importance in the agricultural process. In this context, and under the current conditions, where Cyprus is facing a severe drought the last five years, the purpose of this study is basically to estimate the needed crop water requirements for supporting irrigation management and monitoring irrigation on a systematic basis for Cyprus using remote sensing techniques. The use of satellite images supported by ground measurements has provided quite accurate results. Intended purpose of this paper is to estimate the Evapotranspiration (ET) of specific crops which is the basis for irrigation scheduling and establish a procedure for monitoring and managing irrigation water over Cyprus, using remotely sensed data from Landsat TM/ ETM+ and a sound methodology used worldwide, the Surface Energy Balance Algorithm for Land (SEBAL).

Keywords: evapotranspiration; SEBAL; algorithms; irrigation management

  • 1. Rogers, J.S., Allen, L.H., Jr., Calvert, D.V. “Evapotranspiration from a humid-region developing citrus grove with a grass cover.” Trans. ASAE, 1983.1778-1783.

  • 2. Souch, C., Wolfe, C.P., Grimmond, C.S.B. “Wetland evaporation and energy partitioning: Indiana Dunes National Lakeshore.” J. Hydrol., 184, 1996, p.189-208.

  • 3. Pereira, L.S., Perrier, A., Allen, R.G., Alves, I. Evapotranspiration: Concepts and future trends. J. Irrig. Drain. Eng.,1999, p. 45-51.

  • 4. Doorenbos, J., Pruitt, W.O. Crop water requirements. Irrigation and Drainage Paper no. 24 (revised), FAO, Italy, 1977, 144pp.

  • 5. Allen, R.G., Pereira, L. S., Raes, D., Smith, M. Crop evapotranspiration, guidelines for computing crop water requirements, FAO Irrig. and Drain. Pap. 56, Food and Agric. Organ. of the U. N. (FAO), Rome, Italy.1998, 300pp

  • 6. Bastiaanssen, W.G.M., Noordman, E.J.M., Pelgrum, H., David, G., Thoreson, B.P., Allen, R.G. SEBAL model with remotely sensed data to improve water resources management under actual field conditions. ASCE J. Irrig. Drain. Eng. 131(1), 2005, p.85-93.

  • 7. D’Urso, G., Menenti, M. Mapping crop coefficients in irrigated areas from Landsat TM images; Proceed. European Symposium on Satellite Remote Sensing II, Europto, Paris, sett.’95; SPIE, Intern. Soc. Optical Engineering; 2585, 1995, p. 41-47

  • 8. Bastiaanssen, W.G.M., Menenti, M., Feddes, R.A., Holtslag, A.A.M. A remote sensing surface energy balance algorithm for land (SEBAL), part 1: formulation, Journal of Hydrology. 212-213, 1998, p.198-212.

  • 9. Bastiaanssen, W.G.M. SEBAL-based sensible and latent heat fluxes in the irrigated Gediz Basin, Turkey. Journal of Hydrology 229, 2000, p.87-100

  • 10. Spiliotopoulos, M., Loukas, A., Vasiliades, L. Actual Evapotranspiration Estimation from Satellite-Based Surface Energy Balance Model in Thessaly, Greece. EGU General Assembly, Vienna, Austria Geophysical Research Abstracts, Vol. 10, 2008

  • 11. Bandara, K.M.P.S. Assessing irrigation performance by using remote sensing, Doctoral thesis, Wageningen University, Wageningen, The Netherlands, 2006

  • 12. Alexandridis T. Scale effect on determination of hydrological and vegetation parameters using remote sensing techniques and GIS. PhD Thesis. Aristotle University of Thessalonikh, Greece, 2006

  • 13. Tasumi, M., Bastiaanssen, W.G.M., Allen, R.G. 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. EOSDIS Project Report, Raytheon Systems Company and the University of Idaho, USA. 2000

  • 14. Metochis, C. Assessment of irrigation water needs of main crops of Cyprus., Cyprus Agricultural Research Institute Series. Ministry of Agriculture, Natural Resources and Environment, Cyprus, Nicosia, 1997

  • 15. Markou, M., Papadavid, G. Norm input output data for the main crop and livestock enterprises of Cyprus. Agricultural Economics Report 46, ISSN 0379-0827, 2007, p.196-199

  • 16. Miller, D.R., Sammis, T.W., Simmons, L.J., Gutschick, V.P., Wang, J. Water use efficiency and net carbon assimilation in a mature irrigated pecan orchard. Applied Engineering in Agriculture, 2005

  • 17. Kustas, W.P., Norman, J.M. A Two-Source Energy Balance Approach Using Directional Radiometric Temperature Observations for Sparse Canopy Covered Surfaces. Agron J, 92, 2000, p.847-854.

  • 18. Brutsaert, W, Sugita, M. Application of self-preservation in the diurnal evolution of the surface energy budget to determine daily evaporation. J. Geophys. Res. 97, 1992, p.18377-18382

  • 19. Crago R. D. Conservation and variability of the evaporative fraction during the daytime. J. Hydrol. 180(1-4), 2000, p.173-194

  • 20. Kite, G.W., Droogers, P. Comparing evapotranspiration estimates from satellites hydrological models and field data. J. Hydrol. 229, 2000, p.3-18.

  • 21. Chemin, Y., Alexandridis, T. Using remote sensing for deriving water productivity indicators in low data environments. A case study for different irrigation unit sizes in Zhanghe Irrigation District, China2001

  • 22. Papadavid, G., Hadjimitsis, D.G. Spectral signature measurements during the whole life cycle of annual crops and sustainable irrigation management over Cyprus using remote sensing and spectro-radiometric data: the cases of spring potatoes and peas. Proc. of SPIE, Remote Sensing for Agriculture, Ecosystems, and Hydrology XI, Vol. 7472, 747215, doi: 10.1117/12.830552 , 2009. [CrossRef]

  • 23. Clevers J.G.P.W. The application of a weighted infrared-red vegetation index for estimating leaf area index by correcting for soil moisture. Remote Sensing of Environment, 29, 1989, p.25-37

  • 24. Huete, A. R. A soil-adjusted vegetation index (SAVI). Remote Sensing of Environment, 25, 1988, p. 295-309.

Comments (0)

Please log in or register to comment.