پرویز،ل. خلقی،م. ولیزاده،خ. عراقینژاد،ش و ایراننژاد،پ. 1389. ارزیابی کارایی شاخص تفاضل نرمال شده پوشش گیاهی (NDVI) از طریق پایش وضعیت پوشش گیاهی. همایش ملی ژئوماتیک. تهران. 19 تا 20 اردیبهشت. 9 صفحه.
ثنایی نژاد، س.ح. نوری، س و هاشمینیا،س.م. 1390. برآورد تبخیر و تعرق واقعی با استفاده از تصاویر ماهواره ای در منطقه مشهد. نشریه آب و خاک (علوم و صنایع کشاورزی). 25 .3 :540-547.
سازمان هواشناسی خراسان رضوی. 1383. بررسی وضعیت آب و هوایی استان خراسان رضوی.
کاویانی،ع. سهرابی،ت و دانش کارآراسته،پ. 1392. تخمین بهرهوری آب کشاورزی در دشت قزوین با استفاده از تصاویر MODIS و AVHRR و داده لایسیمتر. مجله پژوهش آب ایران. 13: 1-10.
مباشری،م. خاوریان،ح. ضیائیان،پ و کمالی،غ ع. 1384. برآورد تبخیر-تعرق واقعی با استفاده از تصاویر MODIS و الگوریتم سبال. همایش ژئوماتیک. تهران. 1 تا 2 اردیبهشت. 12 صفحه.
محمود زاده،ح و ولیزاده،خ. 1388. کاربرد دادههای ماهوارهای چند زمانهای و GIS برای ارزیابی کاهش مناطق زراعی در شهرستان اسکو. مجله فضایی جغرافیایی. 25: 9-24.
Allen,R., Waters,R., Tasumi,M., Trezza,R and Bastiaanssen,W. 2002. Seabal, Surface energy balance algorithms for land, Idaho Implementation. Advanced Training and Users Manual, version 1. 0.
Almhab,A and Busu,I. 2008. Estimation of evapotrnspiration with modified SEBAL model using Landsat-TM and NOAA-AVHRR images in arid mountains area. Second Asia International Conference on Modeling & Simulation, Kuala Lumpur,Malaysia, 13-15 May.
Bannari,A., Morin,D., Bonn,F and Huete,A.R. 1995. A review of vegetation indices. Journal of Remote Sensing Reviews, 13: 95-120.
Baret,F., Jacquemoud,S and Hanocq,J.F. 1993. The soil line concept in remote sensing. Journal of Remote Sensing Reviews, 7: 65-82.
Bastiaanssen,W.G.M. 2000. SEBAL based sensible and latent heat fluxes in the irrigated Gediz Basin, Turkey. Journal of Hydrology, 229: 87-100.
Bastiaanssen,W.G.M., Menenti,M., Feddes,R.A and Holtslang, A.A. 1998. A remote sensing surface energy balance algorithm for land (SEBAL): 1. Formulation. Journal of Hydrology. 212-213: 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 condition. Journal of Irrigation and Drainage Engineering, 131.1: 85-93.
Bausch,W.C. 1993. Soil background effects on reflectance-based crop coefficients for corn. Journal of Remote Sensing of Environment. 46: 213-222.
Elvidge,C.D and Chen,Z. 1995. Comparison of broad-band and narrow-band red and near-infrared vegetation indices. Journal of Remote Sensing of Environment, 54: 38-48.
1Franks,S.W and Beven,K. 1999. Conditioning a multiple patch SVAT model using uncertain time-space estimates of latent heat flux as inferred from remotely sensed data. Journal of Water Resources Research.35.9: 2751-2761.
1Gao,Y., Long,D and Li,Z.L. 2008. Estimation of daily actual evapotranspiration from remotely sensed data under complex terrain over the upper Chao river basin in North China. International Journal of Remote Sensing. 29:11. 3295-3315.
1Hafeez, M.M., Chemin,Y., Van De Giesen,N and Bouman, B.A.M. 2002. Field evapotranspiration estimation in central Luzan, Philippines, using different sensors: Landsat 7 ETM+, Terra Modis and Aster. Symposium on Geospatial Theory, Processing and Applications, Ottawa.
2Huete, A.R. 1988. A soil-adjusted vegetation index (SAVI). Journal of Remote Sensing of Environment. 25: 295-309.
2Leprieur,D., Verstraete,M.M and Pinty,B. 1994. Evaluation of the performance of various vegetation indices to retrieve cover from AVHRR data. Journal of Remote Sensing Reviews, 10: 265-284.
2Opoku-Duah,S., Donoghue,D.N.M and Burt,T.P. 2008. Intercomparison of evapotranspiration over the savannah Volta Basin in West Africa using remote sensing data. Journal of Sensors. 8: 2736-2761.
2 Qi,J., Chehbouni,A., Huete,A.R., Kerr,Y.H and Sorooshian, S. 1994. A modified soil adjusted vegetation index. Journal of Remote Sensing of Environment. 48: 119-126.
2Rondeaux,G., Steven,M and Baret,F. 1996. Optimization of soil-adjusted vegetation indices. Journal of Remote Sensing of Environment. 55: 95-107.
2Singh,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. Journal of Irrigation and Drainage Engineering. 134.3: 273-283.
2 Seevers,P.M and Ottmann,R.W. 1994. Evapotranspiration estimation using a normalized difference vegetation index transformation of satellite data. Journal of Hydrological sciences. 39.4:333-345.
Shahzad,S and Iftikhar,A. 2008. Determination of daily regional scale actual evapotranspiration for Indus sub basin using Landsat ETM+. Pakistan Journal of Meteorology. 4.8.:49-58.
Szilagyi,J., Rundquist,D.C., Gosselin,D.C and Parlange,M.B. 1998. NDVI relationship to monthly evaporation. Journal of Geophysical Research Letters. 25.10:1753-1756.
Tasumi,M., Trezza,R., Allen,R.G and Wright,J.L. 2003. U.S. validation tests on the SEBAL model for evapotranspiration via satellite. ICID Workshop on Remote Sensing of ET for large Regions, 17 Sept.
Teixeira, A.H., Bastiaanssen,W.G.M., Ahmad,M.D and Bos,M.G. 2009. Reviewing SEBAL input parameters for assessing evapotranspiration and water productivity for the Low-Middle Sao Francisco River basin, Brazil, Part A: calibration and validation. Journal of Agriculture and Forest Meteorology.149: 462-476.
پرویز،ل. خلقی،م. ولیزاده،خ. عراقینژاد،ش و ایراننژاد،پ. 1389. ارزیابی کارایی شاخص تفاضل نرمال شده پوشش گیاهی (NDVI) از طریق پایش وضعیت پوشش گیاهی. همایش ملی ژئوماتیک. تهران. 19 تا 20 اردیبهشت. 9 صفحه.
ثنایی نژاد، س.ح. نوری، س و هاشمینیا،س.م. 1390. برآورد تبخیر و تعرق واقعی با استفاده از تصاویر ماهواره ای در منطقه مشهد. نشریه آب و خاک (علوم و صنایع کشاورزی). 25 .3 :540-547.
سازمان هواشناسی خراسان رضوی. 1383. بررسی وضعیت آب و هوایی استان خراسان رضوی.
کاویانی،ع. سهرابی،ت و دانش کارآراسته،پ. 1392. تخمین بهرهوری آب کشاورزی در دشت قزوین با استفاده از تصاویر MODIS و AVHRR و داده لایسیمتر. مجله پژوهش آب ایران. 13: 1-10.
مباشری،م. خاوریان،ح. ضیائیان،پ و کمالی،غ ع. 1384. برآورد تبخیر-تعرق واقعی با استفاده از تصاویر MODIS و الگوریتم سبال. همایش ژئوماتیک. تهران. 1 تا 2 اردیبهشت. 12 صفحه.
محمود زاده،ح و ولیزاده،خ. 1388. کاربرد دادههای ماهوارهای چند زمانهای و GIS برای ارزیابی کاهش مناطق زراعی در شهرستان اسکو. مجله فضایی جغرافیایی. 25: 9-24.
Allen,R., Waters,R., Tasumi,M., Trezza,R and Bastiaanssen,W. 2002. Seabal, Surface energy balance algorithms for land, Idaho Implementation. Advanced Training and Users Manual, version 1. 0.
Almhab,A and Busu,I. 2008. Estimation of evapotrnspiration with modified SEBAL model using Landsat-TM and NOAA-AVHRR images in arid mountains area. Second Asia International Conference on Modeling & Simulation, Kuala Lumpur,Malaysia, 13-15 May.
Bannari,A., Morin,D., Bonn,F and Huete,A.R. 1995. A review of vegetation indices. Journal of Remote Sensing Reviews, 13: 95-120.
Baret,F., Jacquemoud,S and Hanocq,J.F. 1993. The soil line concept in remote sensing. Journal of Remote Sensing Reviews, 7: 65-82.
Bastiaanssen,W.G.M. 2000. SEBAL based sensible and latent heat fluxes in the irrigated Gediz Basin, Turkey. Journal of Hydrology, 229: 87-100.
Bastiaanssen,W.G.M., Menenti,M., Feddes,R.A and Holtslang, A.A. 1998. A remote sensing surface energy balance algorithm for land (SEBAL): 1. Formulation. Journal of Hydrology. 212-213: 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 condition. Journal of Irrigation and Drainage Engineering, 131.1: 85-93.
Bausch,W.C. 1993. Soil background effects on reflectance-based crop coefficients for corn. Journal of Remote Sensing of Environment. 46: 213-222.
Elvidge,C.D and Chen,Z. 1995. Comparison of broad-band and narrow-band red and near-infrared vegetation indices. Journal of Remote Sensing of Environment, 54: 38-48.
1Franks,S.W and Beven,K. 1999. Conditioning a multiple patch SVAT model using uncertain time-space estimates of latent heat flux as inferred from remotely sensed data. Journal of Water Resources Research.35.9: 2751-2761.
1Gao,Y., Long,D and Li,Z.L. 2008. Estimation of daily actual evapotranspiration from remotely sensed data under complex terrain over the upper Chao river basin in North China. International Journal of Remote Sensing. 29:11. 3295-3315.
1Hafeez, M.M., Chemin,Y., Van De Giesen,N and Bouman, B.A.M. 2002. Field evapotranspiration estimation in central Luzan, Philippines, using different sensors: Landsat 7 ETM+, Terra Modis and Aster. Symposium on Geospatial Theory, Processing and Applications, Ottawa.
2Huete, A.R. 1988. A soil-adjusted vegetation index (SAVI). Journal of Remote Sensing of Environment. 25: 295-309.
2Leprieur,D., Verstraete,M.M and Pinty,B. 1994. Evaluation of the performance of various vegetation indices to retrieve cover from AVHRR data. Journal of Remote Sensing Reviews, 10: 265-284.
2Opoku-Duah,S., Donoghue,D.N.M and Burt,T.P. 2008. Intercomparison of evapotranspiration over the savannah Volta Basin in West Africa using remote sensing data. Journal of Sensors. 8: 2736-2761.
2 Qi,J., Chehbouni,A., Huete,A.R., Kerr,Y.H and Sorooshian, S. 1994. A modified soil adjusted vegetation index. Journal of Remote Sensing of Environment. 48: 119-126.
2Rondeaux,G., Steven,M and Baret,F. 1996. Optimization of soil-adjusted vegetation indices. Journal of Remote Sensing of Environment. 55: 95-107.
2Singh,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. Journal of Irrigation and Drainage Engineering. 134.3: 273-283.
2 Seevers,P.M and Ottmann,R.W. 1994. Evapotranspiration estimation using a normalized difference vegetation index transformation of satellite data. Journal of Hydrological sciences. 39.4:333-345.
Shahzad,S and Iftikhar,A. 2008. Determination of daily regional scale actual evapotranspiration for Indus sub basin using Landsat ETM+. Pakistan Journal of Meteorology. 4.8.:49-58.
Szilagyi,J., Rundquist,D.C., Gosselin,D.C and Parlange,M.B. 1998. NDVI relationship to monthly evaporation. Journal of Geophysical Research Letters. 25.10:1753-1756.
Tasumi,M., Trezza,R., Allen,R.G and Wright,J.L. 2003. U.S. validation tests on the SEBAL model for evapotranspiration via satellite. ICID Workshop on Remote Sensing of ET for large Regions, 17 Sept.
Teixeira, A.H., Bastiaanssen,W.G.M., Ahmad,M.D and Bos,M.G. 2009. Reviewing SEBAL input parameters for assessing evapotranspiration and water productivity for the Low-Middle Sao Francisco River basin, Brazil, Part A: calibration and validation. Journal of Agriculture and Forest Meteorology.149: 462-476.