Comparative analysis of the pysebal model and lysimeter for estimating actual evapotranspiration of soybean crop in Adana, Turkey

Year 2020, , 60 - 65, 01.06.2020

Alidou Sawadogo , Hessels Tim Kemal Sulhi Gündoğdu , Ali Osman Demir , Mustafa Ünlü , Sander Jaap Zwart

https://doi.org/10.26833/ijeg.573503

Cited By: 11

Abstract

Accurate estimation of evapotranspiration (ET) is an important factor in water management, especially in irrigated agriculture. Accurate irrigation scheduling requires accurate estimation of ET. The objective of this study was to estimate the actual evapotranspiration (ET_a) by the pySEBAL model and to compare it with the actual evapotranspiration measured by the lysimeter method of soybean crop in Adana, Turkey. Five Landsat 5 Thematic Mapper (TM) images and weather data were used for this study to estimate actual evapotranspiration by the pySEBAL model. The results showed a good relationship between ET_a estimated by the pySEBAL model and ET_a measured by the lysimeter method, with an R² of 0.73, an RMSE of 0.51 mm.day⁻¹, an MBE of 0.04 mm.day⁻¹ and a Willmott’s index of agreement (d) of 0.90. Based on this study, there is a good relationship between the actual evapotranspiration estimated by the pySEBAL model and the actual evapotranspiration measured by the lysimeter method. Consequently, ET_a of soybean crop can be estimated with high accuracy by the pySEBAL model in Adana, Turkey.

Keywords

Actual Evapotranspiration, Lysimeter, PySEBAL Model, Remote Sensing

References

• Allen, R. G., Pereira, L.S., Raes, D., and Smith, M. 1998. “Crop evapotranspiration: Guidelines for computing crop water requirements.” FAO irrigation and drainage paper 56, Food and Agriculture Organization of the United Nations, Rome. p. 1-209.
• Allen, R. G., Tasumi, M., and Trezza, R. 2007. Satellitebased energy balance for mapping evapotranspiration with internalized calibration (METRIC)-Model. Journal of Irrigation and Drainage Engineering, 133, 380-394.
• Anonymous. 2007. Water for Food, Water for Life: A Comprehensive Assessment of Water Management in Agriculture. London: Earthscan, and Colombo: International Water Management Institute.
• Bala, A., Rawat, K. S., Misra, A. K., and Srivastava, A. 2015. Assessment and validation of evapotranspiration using SEBAL algorithm and Lysimeter data of IARI agricultural farm, India. GEOCARTO INT. DOI: 10.1080/10106049.2015.1076062.
• Bastiaanssen, W. G. M. 1995. Regionalization of surface flux densities and moisture indicators in composite terrain: a remote sensing approach under clear skies in Mediterranean climates. Ph.D. dissertation, CIP Data Koninklijke Bibliotheek, Den Haag, The Netherlands. 273 pp.
• Bastiaanssen, W. G. M., Menenti, M., Feddes, R. A., and Holtslag, A. A. M. 1998. A remote sensing surface energy balance algorithm for land (SEBAL) . 1. Formulation. J HYDROL. 212(1-4), 198-212.
• Bastiaanssen, W. G. M., Noordman, E. J. M., Pelgrum, H., Davids, G., Thoreson, B. P., and Allen, R. G.2005. SEBAL model with remotely sensed data to improve water resources management under actual field conditions. JIRRIG DRAIN ENG. 131, 85-93.
• Bhattarai, N., Dougherty, M., Marzen, J. L., and Kalin, L. 2011. Validation of evaporation estimates from a modified surface energy balance algorithm for land (SEBAL) model in the south-eastern United States. REMOTE SENS LETT. 3: 6, 511–519.
• Centinari, M., Poni, S., Filippetti, I., Magnanini, E., and Intrieri, C. 2009. Evaluation of an open portable chamber system for measuring cover crop water use in a vineyard and comparison with a mini-lysimeter approach. AGR FOREST METEOROL. 149: 11, 1975-1982.
• Ernst , F., Erdoğan, S., Bayram, Y. 2019. Human resource management using geographic information systems (gis): an example from Turkish land registry directorates. International Journal of Engineering and Geosciences (IJEG), Vol; 2; Issue; 02, pp. 41-51.
• FAO. 2009. How to feed the world in 2050. Issue brief from the High-Level Expert Forum held in Rome, 12-13 October. FAO, Rome, Italy.
• FAO. 2011. The state of the world’s land and water resources for food and agriculture (SOLAW)-managing systems at risk. Food and Agriculture Organization of the United Nations, Rome and Earthscan, London.
• Hassanpour, B., Mirzaie, F., Arshad, S., and Bakhtiari, B. 2011: Comparison of SEBAL based evapotranspiration with lysimeter data. ICID J. 21st International Congress on Irrigation and Drainage.
• Iscan, F., Ilgaz, A., 2017. Analysis of Geographic/Urban Information System Web Presentations of Local Goverments In Turkey, International Journal of Engineering and Geosciences (IJEG), Vol; 2; Issue; 03, pp. 75-83.
• Mata, M., Girona, J., Goldhammer, D., Fereres, E., Cohen, M., and Johnson, S. 1999. Water relations of lysimetergrown peach trees are sensitive to deficit irrigation. CALIF AGR. 17-21.
• Mkhwanazi, M. M., and Chávez, J. L. 2013. Mapping evapotranspiration with the remote sensing ET algorithms METRIC and SEBAL under advective and non-advective conditions: accuracy determination with weighing lysimeters. Hydrology Days. Colorado State University.
• Orhan, O., Dadaser-Celik, F., Ekercin, S. 2019. Investigating Land Surface Temperature Changes Using Landsat-5 Data And Real-Time Infrared Thermometer Measurements At Konya Closed Basin In Turkey, International Journal of Engineering and Geosciences (IJEG), Vol; 4, Issue; 1, pp. 016-027.
• Roerink, G.J., Su, Z., Menenti, M. 2000. S-SEBI: A simple remote sensing algorithm to estimate the surface energy balance. Phys. Chem. Earth, Part B Hydrol. Oceans Atmos. 25 (2), 147-157. https://doi.org/10.1016/S1464-1909(99)00128-8.
• Ruhoff, A., Paz, A. R., Collischonn, W., Aragao, L. E. O. C., Rocha, H. R., Yadvinder, S., and Malhi, Y. S. 2012. A MODIS-Based Energy Balance to Estimate Evapotranspiration for Clear-Sky Days in Brazilian Tropical Savannas. REMOTE SENS-BASEL. 4(3) 703- 725. doi:10.3390/rs4030703.
• Singh, R. K., Irmak, A., Irmak, S., and Martin, D. L. 2008: Application of SEBAL Model for mapping evapotranspiration and estimating surface energy fluxes in South-Central Nebraska. J IRRIG DRAIN E-ASCE. 134 (3): 273-285.
• Su, Z., 2002. The Surface Energy Balance System (SEBS) for estimation of turbulent heat fluxes. Hydrol. Earth Syst. Sci. 6, 85-99.
• Uncu, H. A., and Arioglu, H.2005. Ikinci urun soya tariminda farklı ekim zamanlarina gore bazi buyume duzenleyicilerin verim ve kalite uzerine etkileri, Turkiye VI. Tarla Bitkileri Kongresi, 5-9 Eylul, Antalya, 1: 375- 380.
• Zamansani, E., Khoorani, A., Sadeghi-e-lari, A., and Sadidi, J. 2018. Evaluation of evapotranspiration of wheat using SEBAL algorithm (Case study: Agricultural Research Station of Haji Abad). University of Tehran.