برآورد بارش موثر با بکارگیری سنجش از دور و الگوریتم توازن انرژی سبال و مقایسه آن با روش‌های تجربی (مطالعه موردی: دشت کشت گندم دیم شهرستان خمین)

Adnan, Sh. & Hayat Khan, A. (2008). Effective rainfall for irrigated agriculture plains of Pakistan. Pakistan. Journal of Meteorology, 6, 61-72.

Allen, R.G., Tasumi, M., Trezza, R., (2007). Satellite-based energy balance for mapping evapotranspiration with internalized calibration (METRIC)—model. J. Irrig. Drain. Eng, 133, 380.

Allen, R.G.; Pereira, L.S.; Raes, D.; Smith, M. (1998).Crop Evapotranspiration: Guidelinse for Computing Crop Water Requirements. Fao Irrigation and Drainage, FAO-Food and Agriculture Organization of the United Nations Rome: Rome, Italy. Paper 56.

Asadzade shorfe, H., Raof, M., Mahmoodifard garmi, Z. (2015). The best method of calculation in Ardabil plain. The second national conference on protection of natural resources and environment, Ardabil. (In Persian)

Azizi, Gh. (2000).Estimation of effective rainfall in relation to dry wheat cultivation (Case: Khorram Abad). Journal of Geographical Research Quarterly, 32(39), 115-123 .(In Persian)

Bastiaanssen, W., Menenti, M., Feddes, R., Holtslag, A., (1998a). A remote sensing surface energy balance algorithm for land (SEBAL). Formulation. JHyd, 212, 198–212.

Bastiaanssen, W., Plegruma, H., Wang, J., Ma, Y., Moreno, J.F., Roerinka, G.J., van der Wal, T., (1998b). A remote sensing surface energy balance algorithm for land (SEBAL). Validation. JHyd 212, 213–229.

Bastiaanssen, W.G., Menenti, M., Feddes, R., Holtslag, A., (1998c). A remote sensing surface energy balance algorithm for land (SEBAL). Formulation. JHyd, 212, 198–212.

Ghamarnia, H. & Rezvani, S.V. (2014). Calculation and Zoning of Evapotranspiration using SEBAL method  In the West of Iran (Miandarband Plain). Journal of Water and Soil, 28 (1), 72-81. (In Persian)

 Han, N., Lou, G., Wang, Y., Zhou, Q.,  Jin,G., Li, S., Ye, L. (2019). Calculation of Effective Rainfall in the Spring Maize Growing Period. HAL science, .143-151.

Hasheminasab Khabisi, F., Mousavi baygi, M., Bakhtiari, B., Bannayan, M. (2014). The Effects of Rainfall on Dryland Wheat Yield and Water Requirement Satisfaction Index at Different Time Scale. Journal of Irrigation and Water Engineering,  5(17), 1-13. (In Persian)

Jakson, R, D., Hatfield, J, L., Reginato, S, B., Pinter, Jr. (1983). Estimation of daily evapotranspiration from one time-of-day measurements. Agriculture water management, 7, 351-362.

Jamshidi, S., Zand-Parsa, S & Niyogi, D. (2020). Assessing Crop Water Stress Index of Citrus Using In-Situ Measurements, Landsat, and Sentinel-2 Data. International Journal of Remote Sensing, 42(5), 1893-1916.

Joel E. Cahoon, C. Dean Yonts, Steven R. Melvin. (1992). Estimating Effective Rainfall. NebGuide. G92-1099.

Khaleghi, N. (2016). Comparison of effective rainfall estimation methods in agriculture. Journal of Water and Sustainable Development, 2(5), 51-58. (In Persian)

Khoshal Dastjerdi, J. & Joshani, A, R. (2012).Estimating the most appropriate method of calculating effective rainfall for autumn wheat cultivation in the Namak lake area. Journal of Geographical studies of dry areas, 3(9-10), 153-169. (In Persian)

Kirkham, M. B. (2014). Principles of Soil and Plant Water Relations. Academic Press, Kansas State University, 387–392 pages.

Kişi Ö, Öztürk Ö. (2007). Adaptive neurofuzzy computing technique for evapotranspiration estimation. Journal of Irrigation and Drainage Engineering, 133(4), 368-379

Mojarad, F. & Nasiri, Sh. (2006).Estimates of return periods and confidence intervals of effective rainfall for rice cultivation in Mazandaran Province. Journal of Human Sciences, 10(45), 159-182. (In Persian)

Omidi, R. & Radmanesh, F. (2013). Estimation of reference evaporation and transpiration using artificial neural network. The 4th National Conference on Management of Irrigation and Drainage Networks. Chamran University, Ahvaz, Faculty of Water Science Engineering, Ahvaz, Iran (In Persian)

Orang, M. (1998). Potential accuracy of the popular non-linear regression equations for estimating pan coefficient values in the original and FAO-24 tables. Unpublished California Department of Water Resources Report, Sacramento, Calif.

Pourgholam, M., Hooshmand, M., Raja, O., Liaghat, A. (2019).Effective Rain Zoning In Khuzestan Province under Autumn Rainfed Wheat Cultivation.Journal of Water and Irrigation Management. 9 (2), 211-230. (In Persian)

Rahimi, J., Bazrafshan, J., Khalili, A. (2013).A Comparative Study on Empirical Methods for Estimating Effective Rainfall for Rainfed Wheat Crop in Different Climates of Iran. Physical Geography Research, 45 (3), 31-46. (In Persian)

Rahimzadegan, M., Janani, A. (2019). Estimating evapotranspiration of pistachio crop based on SEBAL algorithm using Landsat 8 satellite imagery. Agricultural Water Management, 217: 383-390.

Rahman M. M. Islam M.O. and Hasanuzzaman M. (2008). Study of effective rainfall for irrigated agriculture in South-Eastern part of Bangladesh. World Journal of Agricultural Science, 4 (4), 453-457.

Saeidi, R., Ramezani Etedali, H., Sotodehniya, A., Kaviani, A., Nazari, B. (2018). Determination of the Relationships between Yield and Evapotranspiration of Maize under Salinity Stress and Nitrogen Deficiency Conditions. Journal of Water Research in Agriculture, 32 (3), 351-366. (In Persian)

Jamshidi, S., Zand-Parsa, Sh. & Dev Niyogi (2021) Assessing Crop Water Stress Index of Citrus Using In-Situ Measurements, Landsat, and Sentinel-2 Data, International Journal of Remote Sensing, 42 (5), 1893-1916.

Su, Z. (2002). The Surface Energy Balance System (SEBS) for estimation of turbulent heat fluxes. HESSD, 3 (6), 85–100.

Waters, R., Allen, R., Tasumi, M., Trezza, R., Bastiaanssen, W. (2002). Surface Energy Balance Algorithms for Land. Idaho Implementation. Advanced Training and Users Manual. Idaho Department of Water Resources.