Abiy, Y.B. 2015. Remote sensing and GIS based determination of evapotranspiration of lake Tana basin, north Ethiopia M. Sc. Thesis. School of Graduate studies, Addis Ababa Univ.
Alam, M., and Trooien, T. 2001. Estimating reference evapotranspiration with an atmometer. Appl. Eng. Agric., 17(2), 153-158.
AlEsawi, K. K. J. 2020.Analysis of the Climatic Droughts on Vegetation in AL-Anbar Governorate (AL-Jazirah Region) Using GIS. Iraqi. J. Des. Stud. Volume 10, Issue 1, Pages 13-37.
Alexandridis, T.K. , A. Panagopoulos, G. Galanis, I. Alexiou, I. Cherif, and Y. Chemin . 2014. Combining remotely sensed surface energy fluxes and GIS analysis of groundwater parameters for irrigation system assessment. Irrig. Sci, 32, 127–140.
Almhab, A. A. A. 2009. Estimation Of Regional Evapotranspiration Using Remote Sensing Data in Arid Areas. Ph.D. thesis. Faculty of Geoinformation Science and Engineering, Universiti Teknologi Malaysia.
Allen, R. G., L. S. Pereira, D. Raes, and M Smith. 1998. Crop evapotranspiration - Guidelines for computing crop water requirements – FAO Irrigation and drainage paper 56.
Allen, R. , M. Tasumi, R. Trezza, R. Waters and W. Bastiaanssen. 2002. SEBAL (Surface Energy Balance Algorithms for Land), Advance Training and Users Manual–Idaho Implementation, Version, vol. 1, pp. 97.
Allen, R., A. Irmak, R. Trezza, J. M. Hendrickx, W. Bastiaanssen and J. Kjaersgaard 2011. "Satellite‐based ET estimation in agriculture using SEBAL and METRIC." Hydrol. Proc. 25(26): 4011-4027.
Alves. L. E. R., I. G. F. de Freita, H. B. Gomes, F. D. dos S. Silva, and M. N. dos Santos. 2017. Using Landsat-8 images in the estimative of surface radiation balance. J. Hyper. Remote Sens. 7(2): 91-100.
Ayenew, T. 2003. Evapotranspiration estimation using thematic mapper spectral satellite data in the Ethiopian rift and adjacent highland. J. Hydrol. 279: 88-93.
Bastiaanssen, W., Noordman, E., Pelgrum, H., Davids, G., Thoreson, B., and Allen, R. 2005. SEBAL model with remotely sensed data to improve water-resources management under actual field conditions. J. Irrig. Drain. Eng., 131(1), 85-93.
Bastiaanssen, W. G., Menenti, M., Feddes, R., and Holtslag, A. 1998. A remote sensing surface energy balance algorithm for land (SEBAL). 1.Formulation. J .Hydro, 212, 198-212.
Bastiaanssen, W. 2000. "SEBAL-based sensible and latent heat fluxes in the irrigated Gediz Basin, Turkey." J. Hydro. 229(1): 87-100.
Campbell, J. B. and R. H. Wynne 2011. Introduction to Remote Sensing, Guilford Press.
Chander, G., and Markham, B. 2003. “Revised Landsat-5 TM Radiometric Calibration Procedures and Post calibration Dynamic Ranges.” Geosci. Remote Sens., IEEE Trans. 41: 2674-7.
Farina, F. 2012. Exploring the relationship between land surface temperature and vegetation abundance for urban heat island mitigation in Seville, Spain. Department of Earth and Ecosystem Sciences, Division of Physical Geography and Ecosystem Analysis , Centre for Geographical Information Systems , Lund University Sölvegatan 12 . LUMA-GIS Thesis nr 15.
Gleason, D., Andales, A., Bauder, T., and Chávez, J. 2013. Performance of atmometers in estimating reference evapotranspiration in a semi-arid environment. Agric. Water Manag., 130, 27-35.
George, B. A., Reddy, B., Raghuwanshi, N., and Wallender, W. 2002. Decision support system for estimating reference evapotranspiration. J. Irrig. Drain. Eng., 128(1), 1-10.
Hankerson, B., I. Kjaersgaard, and Ch. Hay. 2012. Estimation of evapotranspiration from fields with and without cover crops using remot sensing and situ methods. Remote Sens. 4:3796 – 3812.
Hamed, M. M. 2019. Using Remote Sensing Data and SEBAL Algorithm to Study Temporal Variations of Soil Temperature and Moisture in Musayib Project. A Thesis Submitted to the Council of the College of Agricultural Engineering Sciences at University of Baghdad in Partial Fulfillment of the Requirements for the Degree of Master in Agricultural Engineering Sciences, Soil Science and Water Resources.
Hong, S.-H., Hendrickx, J. M. H., and Borchers, B. 2009. “Up-scaling of SEBAL Derived Evapotranspiration Maps from Landsat (30 m) to MODIS (250 m) Scale.” J. of Hydrol. 370: 122-38.
Jensen, M. E., and Allen, R. G. 2016. Evaporation, Evapotranspiration, and Irrigation Water Requirements.
Kerr, Y. H. , A. Chehbouni , D. L. Seen , E. G. Njoku , J. P. Lhomme , and B. Monteny . 1997. Estimation of sensible heat flux over sparsely vegetated surfaces. Hydrol. 188-189.
Kisekka, I., K. W. Migliaccio, M. D. Dukes, B. Schaffer, J. C. Crane, and K. Morgan. 2010. Evapotranspiration-based irrigation for agriculture: sources of evapotranspiration data for irrigation scheduling in Florida. University of Florida. Gainesville. AE455. P. 4.
Kosa, P. 2011. The Effect of Temperature on Actual Evapotranspiration Based on Landsat-5 TM Satellite Imagery. INTECH Open Access Publisher
Li, Z.-L., R. Tang, Z. Wan, Y. Bi, C. Zhou, B. Tang, G. Yan and X. Zhang 2009. "A review of current methodologies for regional evapotranspiration estimation from remotely sensed data." Sens. 9(5): 3801-3853
Liou, Y., Y. Chuang and T. Lee 2002. Estimate of evapotranspiration over rice fields using high resolution DMSV imagery data. Proceedings of the Cross- Strait Symposium on the Remote Sensing and Agricultural Biotechnology, Chung-li, Taiwan.
Lillesand, T. M., Kiefer, R. W., and Chipman, J. W. 2004. Remote Sensing and Image Interpretation. John Wiley and Sons Ltd.
Long, D. and V. P. Singh 2012. "A modified surface energy balance algorithm for land (M‐SEBAL) based on a trapezoidal framework." Water Resour. Res. 48(2).
Liou Y. Liou and S. K. Kar. 2014. Evapotranspiration Estimation with Remote Sensing and Various Surface Energy Balance Algorithms—A Review. Energies, 7, 2821-2849; doi:10.3390/en7052821.
Magliulo, V., d’Andria, R., and Rana, G. 2003. Use of the modified atmometer to estimate reference evapotranspiration in Mediterranean environments. Agric. Water Manag., 63(1), 1-14.
McNally, A. 2016. FLDAS Noah Land Surface Model L4 daily 0.1 _0.1 Degree for Southern Africa (GDAS and RFE2) V001; NASA/GSFC/HSL: Greenbelt, MD, USA, Available online:
https://disc.gsfc.nasa.gov/datacollection / FLDAS_NOAH01_A_SA_D_001.html (accessed on 25 January 2017).
Morton. C. G. 2011. Development and Application of an Automated Calibration Algorithm for Estimating Evapotranspiration from Agriculture Using a Remotely Sensed Surface Energy Balance Model. A for the degree of Master of Science in Geography. University of Nevada, Reno.
Montibeller. A.G. 2017. Estimating energy fluxes and evapotranspiration of corn and soybean with an unmanned aircratt in Ames, Iowa. University of Northern Iowa. Dissertations and Theses @ UNI. 416.
Muthuwatta, L. P., M. Bos and T. Rientjes 2010. "Assessment of water availability and consumption in the Karkheh River Basin, Iran—using remote sensing and geo-statistics." Water Resour. Manag. 24(3): 459-484.
Nouri, H. , M. Faramarzi, B. Sobhani and S. H. Sadeghi, . 2017. Estimation of Evapotranspiration based on surface energy balance algorithm for land (SEBAL) using Landsat 8 and MODIS images. App. Ecol. Environ. Res. 15(4):1971-1982.
Pelgrum, H., G. Davids, B. Thoreson, R. Allen, W. Bastiaanssen and E. Noordman 2005. "SEBAL Model with Remotely Sensed Data to Improve Water-Resources Management under Actual Field Conditions." J. Irrig. Drain. Eng. 131(1): 85-93.
Reyes-Gonzalez, Arturo, 2017. "Using Remote Sensing to Estimate Crop Water Use to Improve Irrigation Water Management" Theses and Dissertations. 1708.
Roerink, G., Z. Su and M. Menenti 2000. "S-SEBI: A simple remote sensing algorithm to estimate the surface energy balance." Physics and Chemistry of the Earth, Part B: Hydrol., Oceans Atmos. 25(2): 147-157.
Salifu. S., W. A. Agyare, N. Kyei-Baffour, E. Mensah and E. Ofori. 2011. Estimating Actual Evapotranspiration using the SEBAL Model for the Atankwidi and Afram Catchments in Ghana. Inter. J. Appl. Agric. Res. ISSN 0973-2683, 6 (2); 177-193.
Samani. Z. ; A. S. Bawazir ; M. Bleiweiss ; R. Skaggs ; and V. D. Tran . 2007. Estimating Daily Net Radiation over Vegetation Canopy through Remote Sensing and Climatic Data. J. Irrig. Drain. Eng., ASCE / 297.
Seevers P. M. and R. W. Ottmann. 2009. Evapotranspiration estimation using a normalized difference vegetation index transformation of satellite data. Hydrol. Sci. J.. ISSN: 0262-6667, 39:4, 333-345.
Smith, M. 2000. "The application of climatic data for planning and management of sustainable rainfed and irrigated crop production." Agric. Forest Meteo. 103(1): 99-108.
Singh. D., Herlin, I., Berroir, J. P., and Bouzidi, S. 2005. An approach to estimate the evapotranspiration using NOAA/AVHRR DATA. J. Indian Soc. Remote Sens., 33(2), 211-217.
Subedi. A. , J. L. Chávez, and A. A. Andales,. 2013. Preliminary performance evaluation of the Penman-Monteith evapotranspiration equation in southeastern Colorado, Department of Civil and Environmental Engineering, Colorado State University, 84-90.
Trezza R. 2002. Evapotranspiration using a satellite-based surface energy balance with standardized ground control. a dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Biological and Agricultural Engineering. Utah state University. Logan, Utah.
Wang. J., T. W. Sammis, V. P. Gutschick, M. Gebremichael, and D. R. Miller. 2007. Sensitivity analysis of the surface energy balance algorithm for land (SEBAL). 9 Am. Soc. Agric. Bio. Eng. ISSN 0001-2351.
Weng, Q., Lu, D., and Schubring, J. 2004. “Estimation of Land Surface Temperature–Vegetation Abundance Relationship for Urban Heat Island Studies.” Remote Sens. Environ. 89: 467-83.
Woodward, J., M. Siegert, A. Smith and N. Ross 2011. Lake Ellsworth. Encyclopedia of Snow, Ice and Glaciers, Springer: 683-686.