Crop Water Requirements in Egypt Using Remote Sensing Techniques

Abstract

The common Soil in Egypt is clay soil so common irrigation system is tradition surface irrigation with 60% irrigation efficiency. Agricultural sector consumes more than 80% of water resources under surface irrigation (tradition methods). In arid and semi-arid regions consumptive use is the best index for irrigation requirements. A large part of the irrigation water applied to farm land is consumed by Evapotranspiration (ET). Irrigation water consumption under each of the physical and climatic conditions for large scale will be easier with remote sensing techniques. In Egypt, Agricultural cycle is often tow agricultural seasons yearly; summer and winter. Common summer crops are Maize, Rice and Cotton while common winter crops are Clover and Wheat. Landsat8 bands 4 and 5 provide Red (R) and Near Infra-Red (NIR) measurements and it used to calculate Normalized Deference Vegetation Index (NDVI) and monitoring cultivated areas. The cultivated land area was 3,277,311 ha in August 2013. In this paper Kc = 2 * NDVI ? 0.2 represents the relation between crop coefficient (Kc) and NDVI. Kc and Reference evapotranspiration (ETo) used to estimate ETc in Egypt. The main objective of this paper is studying the potential crop Evapotranspiration in Egypt using remote sensing techniques.

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El-Shirbeny, M. , Ali, A. and Saleh, N. (2014) Crop Water Requirements in Egypt Using Remote Sensing Techniques. Journal of Agricultural Chemistry and Environment, 3, 57-65. doi: 10.4236/jacen.2014.32B010.

Conflicts of Interest

The authors declare no conflicts of interest.

References

[1] Sobrino, J.A., Gomez, M., Jimenez-Munoz, J.C. and Olioso, A. (2007) Application of a Simple Algorithm to Estimate Daily Evapotranspiration from NOAA–AVHRR Images for the Iberian Peninsula. Remote Sensing of Environment, 110, 139-148. http://dx.doi.org/10.1016/j.rse.2007.02.017
[2] Magliulo, V., d’Andria, R. and Rana, G. (2003) Use of the Modified Atmometer to Estimate Reference Evapotranspiration in Mediterranean Environments. Agricultural Water Management, 63, 1-14. http://dx.doi.org/10.1016/S0378-3774(03)00098-2
[3] Yin, Y., Wu, S., Zheng, D. and Yang, O. (2008) Radiation Ca-libration of FAO56-Penman-Monteith Model to Estimate Reference Crop Evapotranspiration in China. Agricultural Water Management, 95, 77-84.
[4] El-Shirbeny, M.A., Aboelghar, M.A., Arafat, S.M. and El-Gindy, A.-G.M. (2014) Assessment of the Mutual Impact between Climate and Vegetation Cover Using NOAA-AVHRR and Landsat Data in Egypt. Arabian Journal of Geosciences, 7, 1287-1296.
[5] Zhao, S.H., Yang, Y.H., Zhang, F., Sui, X.X., Yao, Y.J., Zhao, N. and Li, C.Q. (2014) Rapid Evaluation of Reference Evapotranspiration in Northern China. Arabian Journal of Geosciences, 1-11.
[6] Allen, R.G., Perrier, L.S., Raes, D. and Smith, M. (1998) Crop Evapotranspiration: Guidelines for Computing Crop Requirements. Irrigation and Drainage Paper No. 56, FAO, Rome, Italy.
[7] Droogers, P. and Allen, R.G. (2002) Estimating Reference Evapotranspiration under Inaccurate Data Conditions. Irrigation and Drainage Systems, 16, 33-45. http://dx.doi.org/10.1023/A:1015508322413
[8] Hargreaves, G.H. and Samani, Z.A. (1985) Reference Crop Evapotranspiration from Temperature. Applied Engineering in Agriculture, 1, 96-99. http://dx.doi.org/10.13031/2013.26773
[9] Popova, Z., Kercheva, M. and Pereira, L.S. (2005) Validation of the FAO Methodology for Computing ETo with Limited Data. ICID 21st European Regional Conference, Frankfurt, Slubice.
[10] Doorenbos, J. and Pruitt, W.O. (1977) Crop Water Requirement: Food and Agriculture Organization of the United Nations. FAO Irrigation and Drainage Paper 24, Rome, 144.
[11] Huete, A., Didan, K., Van Leeuwen, W., Miura, T. and Glenn, E. (2008) MODIS Vegetation Indices. In Land Remote Sensing and Global Environmental Change, NASA’s Earth Observing System and the Science of ASTER and MODIS.
[12] Edward, P.G., Huete, A.R., Nagler, P.L. and Nelson, S.G. (2008) Relationship between Remotely Sensed Vegetation Indices, Canopy Attributes and Plant Physiological Processes: What Vegetation Indices Can and Cannot Tell Us about the Landscape. Sensors, 8, 2136-2160. Environment, 48, 119-126.
[13] Tasumi, M. and Allen, R.G. (2007) Satellite-Based ET Mapping to Assess Variation in ET with Timing of Crop Development. Agricultural Water Management, 88, 54-62.
[14] Ryua, S.Y., Baldocchi, D.D., Black, T.A., Dettoc, M., Lawd, B.E., Leuninge, R., Miyataf, A., Reichsteing, M., Vargash, R., Ammanni, C., Beringer, J., Flanagank, L.B., Gul, L., Hutleym, L.B., Kimn, J., McCaugheyo, H., Moorsp, E. J., Rambal, S. and Vesalar, T. (2012) On the Temporal Upscaling of Evapotranspiration from Instantaneous Remote Sensing Measurements to 8-Day Mean Daily Sums. Agricultural and Forest Meteorology, 152, 212-222. http://dx.doi.org/10.1016/j.agrformet.2011.09.010
[15] Yoder, B.J. and Waring, R.H. (1994) The Normalized Difference Vegetation Index of Small Douglas-Fir Canopies with Varying Chlorophyll Concentrations. Remote Sensing of Environment, 49, 81-91. http://dx.doi.org/10.1016/0034-4257(94)90061-2
[16] Campbell, J.B. (1996) Introduction to Remote Sensing. Taylor Francis, London.
[17] Zhang, X., Friedl, M.A., Schaaf, C.B. and Strahler, A.H. (2004) Climate Controls on Vegetation Phenological Patterns in Northern Mid and High Latitudes Inferred from MODIS Data, Glob. Change, 10, 1133-1145. http://dx.doi.org/10.1111/j.1529-8817.2003.00784.x

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