Estimation of Daily Reference Evapotranspiration Using Remote Sensing Data (Case Study: Sistan and Baluchestan Province)

Document Type : Original Article

Authors

1 M.Sc of Dep. of Remote Sensing and GIS, Faculty of Geography, University of Tehran

2 Associate Prof., Dep. of Remote Sensing and GIS, Faculty of Geography, University of Tehran

3 Assistant Prof., Kurdistan Agricultural and Natural Resources Research and Education Center

4 Prof. of Dep. of Remote Sensing and GIS, Faculty of Geography, University of Tehran

Abstract

Determination of the Crop Water Requirement (CWR) of different crops and the value of crop water consumption is one of the problems at a large scale and in real-time to the soil and water expert. The first step to compute this variable is to determine the reference evapotranspiration (ET0). The standard method to compute this parameter is to utilize the climate data and experimental equations. The problem with classic methods is that the meteorological station isn’t available in the agricultural lands and usually, we have data limitations. The optimized solution is to utilize remote sensing data. So with the combination of different datasets then the reference evapotranspiration and actual evapotranspiration will be estimated. The goal of the study is to an evaluation of open-source WaPOR and ERA5 to compute daily reference evapotranspiration based on the FAO-Penman Monthis equation at the meteorological stations of Sistan and Baluchestan province. The result has shown that the open-source dataset estimated the reference evapotranspiration as more than 80 percent accurate at the place of the meteorological station and in all of the stations RMSE was less than 2 mm per day. The accuracy assessment of results shown at different crop seasons that ET0 in the autumn season is better than in the spring season. So that the ERA5 combined with the GLDAS Wind data has a better correlation with in situ measurement of ET0 than to the WaPOR. All of the results shown that this dataset can be used in each place in the province to estimate ET0.

Therefore, the present study is to investigate the possibility of using the products of WaPOR and ERA5 systems to calculate the amount of daily reference evapotranspiration based on the experimental method of Penman-Monteith and to evaluate and validate its outputs in Sistan and Baluchestan Province of Iran.

The results showed that remote sensing systems with an accuracy of over 80% at meteorological stations estimated the amount of reference evapotranspiration and an error of less than 2 mm was reported in all stations. Also, studies during the growing season (June 15 to November 6) compared to the growing season (1 November to 15 May) showed that the reference evapotranspiration obtained from satellite data in the first growing season has a higher (R2). Also, the results of NRMSE index evaluation indicate that the reference evapotranspiration obtained from ERA-GLDAS2.1 data is appropriate.Therefore, since the estimated and validated values had acceptable accuracy, in the next step, these systems can be used anywhere in the province.

Keywords

References

Akbarinodehi, D. (2011). Evaluation Of Pan Coefficient For Reference Crop Evapo-Transpiration (Case Study In Synoptic Station-Sari). Journal Of Research In Crop Sciences, 2(7), 65-74.   https://www.sid.ir/ en/journal/ViewPaper.aspx?id=205444.
Allen, R.G., 1996, Assessing Integrity of Weather Data for Use in Reference Evapotranspiration Estimation, J. Irring and Drain. Eng, ASCE, 122(2), PP. 97-106.
Allen, R.G., Bastiaanssen, W.G.M., Wright, J.L., Morse, M., Tasumi, R.T., 2002, Evapotranspiration from Satellite Image for Water Management and Hydrological Balances, Proceeding of the 2002 ICID Conference, Montreal, Canada, PP. 1-12.
Allen, R.G., Pereira, L.S., Raes, D. & Smith, M., 1998, Crop Evapotranspiration (Guidelines for Computing Crop Water Requirements), FAO Irrigation and Drainage Paper, No. 56, Food and Agricultural Organization of the United Nations, Rome, PP. 17-18.
Almhab, A. & Busu, I., 2008, Estimation of Evapotranspiration with Modified SEBAL Model Using Landsat-TM and NOAA-AVHRR Images in Aride Mountains Area, Second Asia International Conference on Modeling & Simulation.
Barik, M.G., 2014, Remote Sensing-Based Estimates of Potential Evapotranspiration for Hydrologic Modeling in the Upper Colorado River Basin Region, PhD Degree in Civil Engineering, UCLA, University of California.
Gundekar, H.G., Khodke, U.M. & Sarkar, S., 2008, Evaluation of Pan Coefficient for Reference Crop Evapotranspiration for Semi-Arid Region, Irrigation Science, 26, PP. 169-175.
Hargreaves, G.H., Samani, Z.A., 1985, Reference Crop Evapotranspiration from Temperature, Applied Engineering Agriculture, 1(2), PP. 96-99.
Jensen, M.E. & Haise, H.R., 1963, Estimation of Evapotranspiration from Solar Radiation, Journal of Irrigation and Drainage Division, Proceedings of the American Society of Civil Engineering, 89, PP. 15-4.
Jensen, M.E., Burman, R.D. & Allen, R.G., 1990, Evapotranspiration and Irrigation Water Requirements, ASCE Manuals and Reports on Engineering, Practices NO 70, ASCE, New York.
Khaldi, A. & Hamimed, A., 2014, Using the Priestley-Taylor Expression for Estimating Actual Evapotranspiration from Satellite Landsat ETM+ Data, Proceedings of the International Association of Hydrological Sciences, 364, PP. 398-403.
Kheirabi, J. (2002). Comparative Study And Comparison Of Penman-Montis Method With FAO 24 Methods In Iran.Iran: National Committee For Irrigation And Drainage Of Iran.
Li, S., Kang, S., Zhang, L., Zhang, J., Du, T., Tong, L. & Ding, R., 2016, Evaluation of Six Potential Evapotranspiration Models for Estimating Crop Potential and Actual Evapotranspiration in Arid Regions, Journal of Hydrology, 543, PP. 450-461.
Lopez-Urrea, R., MartIn de Santa Olalla, F., Fabeiro, C. & Moratalla, A., 2006, Testing Evapotranspiration Equations Using Lysimeter Observations in a Semi-Arid Climate, Agric Water Management, 85, PP. 15-26.
Lu, J., Sun, G., McNulty, S.G. & Amatya, D.M., 2005, A Comparison of Six Potential Evapotranspiration Methods for Regional Use in the Southeastern United States 1, JAWRA Journal of the American Water Resources Association, 41(3), PP. 621-633.
 
Oudin, L., Hervieu, F., Michel, C., Perrin, C., Andréassian, V., Anctil, F. & Loumagne, C., 2005, Which Potential Evapotranspiration Input for a Lumped Rainfall–Runoff Model?: Part 2-Towards a Simple and Efficient Potential Evapotranspiration Model for Rainfall–Runoff Modelling, Journal of Hydrology, 303(1-4), PP. 290-306.
Penman, H.L., 1948, Natural Evaporation from Open Water, Bare Soil and Grass, Proc. Soc. London Ser., A 193, PP. 120-145.
Priestley, C.H.B. & Taylor, R.J., 1972, on the Assessment of Surface Heat Flux and Evaporation Using Large-Scale Parameters, Monthly Weather Review, 100, PP. 81-92.
Rango, A., 1994, Application of Remote Sensing Methods to Hydrology and Water Resources, Hydrological Sciences Journal, 39(4), PP. 309-320.
Sharifan, H., & Alizadeh, A. (2009). Study Of Temperature And Radiation Based Methods Of Estimating Maximum Evapotranspiration With Different Probabilities (Case Study Of Gorgan). Journal Of Water And Soil (Agricultural Sciences And Technology), 23(3), 1-9. https://www.sid.ir/en/journal/ViewPaper.aspx?id=186128.
Sharifan, H., & Dehghani, A., & Karimirad, I. (2012). Correction Factor For Hargreaves-Samani Method To Estimate Et0 (Case Study: Gorgan Synoptic Station). Journal Of Water And Soil Conservation (Journal Of Agricultural Sciences And Natural Resources), 19(3), 227-235. https://www.sid.ir/en/journal/ViewPaper.aspx?id=287888.
Sharifan, H., & Ghahraman, B. (2007). Evaluation And Comparison Of Estimated Reference Evapotranspiration From Evaporation Pan With Eto Standard Method In Gorgan. Journal Of Agricultural Sciences And Natural Resources, 13(5), 18-28. https://www.sid.ir/ en/journal/ViewPaper.aspx?id=86280.
Snyder, R.L., Orang, M., Matyac, S. & Grismer, M.E., 2005, Simplified Estimation of Reference Evapotranspiration from Pan Evaporation Data in California, J Irrigation Drain Engineering, 131(3), PP. 249-253.
Soltani, A., & Mirlatifi, S., & Dehghani Sanji, H. (2012). Estimating Reference Evapot-ranspiration Using Limited Weather Data Under Different Climatic Conditions. Journal Of Water And Soil (Agricultural Sciences And Technology), 26(1), 139-149. https://www.sid.ir/en/ journal/ViewPaper.aspx?id=271066.
Xu, C.-Y. & Singh, V., 2002, Cross Comparison of Empirical Equations for Calculating Potential Evapotranspiration with Data from Switzerland, Water Resources Management, 16(3), PP. 197-219.

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