Agam N, Kustas W P, Anderson M C, Li F, Neale C M U (2007a) A vegetation index based technique for spatial sharpening of thermal imagery. Remote Sensing of Environment 107:545–558
Allen RG, Tasumi M, Trezza R, (2007) Satellite-based energy balance for mapping evapotranspiration with internalized calibration (METRIC)-model. Journal of Irrigation and Drainage Engineering 133:380–394
Bastiaanssen W (2000) SEBAL-based sensible and latent heat fluxes in the irrigated Gediz Basin, Turkey. Journal of Hydrology 229:87-100
Bastiaanssen W, Menenti M, Feddes R, and Holtslag A (1998a) A remote sensing surface energy balance algorithm for land (SEBAL). Part 1, Formulation, Journal of Hydrology 212:198-212
Bastiaanssen W G M, Waters R, Allen R G, Tasumi M, and Terzza R (2002) Advanced training and user's manual of surface energy balance algorithms for Land. Nasa EOSDIS/Synergy Grant from the Raythoen Company through the Idaho Department of Water Resources.1:1-98
Brindhu V M, Narasimhan B, Sudheer K P (2013) Development and verification of a non-linear disaggregation method (NL-DisTrad) to downscale MODIS land surface temperature to the spatial scale of Landsat thermal data to estimate evapotranspiration. Remote Sensing of Environment 135:118-129
Brisco B, Brown R J, Hirose T, McNairn H, Staenz K (2014) Precision agriculture and the role of remote sensing, a review. Canadian Journal of Remote Sensing 24:315–327
Chandrapala L and Wimalasuriya M (2003) Satellite measurements supplemented with meteorological data to operationally estimate evaporation in Sri Lanka. Agricultural Water Management 58:89-107
Gao B C, Montes M J, Ahmad Z, Davis C O (2000) Atmospheric correction algorithm for hyperspectral remote sensing of ocean color from space. Applied Optics 39(6):887-896
Ha W, Gowda P H, Howell T A (2012a) A review of downscaling methods for remote sensing-based irrigation management: part I. Irrig. Sci. 31, 831–850
Ha W, Gowda P.H, Howell T.A, (2012b) A review of potential image fusion methods for remote sensing-based irrigation management:part II. Irrigation Science 31:851–869
Hafeez M, Chemin Y, Van De Giesen N and Bouman B (2002) Field evapotranspiration estimation in central Luzon, Philippines using different sensors: Landsat 7 ETM+, Terra MODIS and ASTER. ISPRS/CIG conference July. P. 2002
Hong S, Hendrickx J M H, Borchers B (2011) Down-Scaling of SEBAL derived evapotranspiration maps from MODIS (250m) to LANDSAT (30m) scale. International Journal of Remote Sensing 32(21):6457-6477
Goshehgir AS, Golabi M, and Naseri AA (2018) Comparison of actual evapotranspiration estimated using Gram-Schmidt method and SEBAL algorithm with lysimetric data (Case study: Amir Kabir sugarcane argo-industry company). Iran- Water Resources Research 14(1):125-139 (In Persian)
Kaufman Y J, Tanre D, Gordon H R, Nakajima T, Lenoble J, Frouin R (1997) Passive remote sensing of tropospheric aerosol and atmospheric correction for the aerosol effect. Journal of Geophysical Research: Atmospheres 102(D14):16815-16830
Kim J, Hogue T S (2012) Evaluation and sensitivity testing of a coupled Landsat-MODIS downscaling method for land surface temperature and vegetation indices in semi-arid regions. Journal of Applied Remote Sensing, doi:10.1117/1.JRS.6.063569
Li H, Zheng L, Lei Y, Li C, Liu Z and Zhang S (2008) Estimation of water consumption and crop water productivity of winter wheat in North China Plain using remote sensing technology. Agricultural Water Management 95:1271-1278
Luo Y, Liu R, Feng Zhu Y (2008) Fusion of remote sensing image base on The PCA + ATROUS wavelet transform. The International Archives of the Pho- togrammetry, Remote Sensing and Spatial Information Sciences XXXVII (Part B7) 1155–1158
Mahour M, Tolpekin V, Stein A, Sharifi A (2017) A comparison of two downscaling procedures to increase the spatial resolution of mapping actual evapotranspiration. ISPRS Journal of Photogrammetry and Remote Sensing 126:56–67
McCabe M F, Wood E F (2006) Scale influences on the remote estimation of evapotranspiration using multiple satellite sensors. Remote Sensing of Environment 105:271–285
Ramosa J G, Cratchley C, Kay J A, Casterad M A, Martinez-Cob A, and Dominguez Z (2008) Evaluation of satellite evapotranspiration estimates using ground-meteorological data available for the Flumen District into the Ebro Valley of N.E, Spain. Agricultural Water Management Journal AGWAT-2701:15-26
Salehi H, Shamsoddini A, Mirlatifi SM (2018) MODIS image downscaling using STARFM and SADFAT algorithms for daily Landsat-like spatial resolution evapotranspiration mapping. Iranian Remote Sensing & GIS 10(3) (In Persian)
Shamsoddini A, Trinder J C, and Turner R (2013) Non-linear methods for inferring lidar metrics using spot-5 textural data. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume II-5/W2
Senay G B, Budde M, Verdin J P, Melesse A M (2007) A coupled remote sensing and simplified surface energy balance approach to estimate actual evapotranspiration from irrigated fields. Sensors 7:979–1000
Singh R K, Senay G B, Velpuri N M, Bohms S, Verdin J P (2014) On the downscaling of actual evapotranspiration maps based on combination of MODIS and Landsat-based actual evapotranspiration estimates. Remote Sensing 6:10483-10509
Spiliotopoulos M, Adaktilou N, Toulios L (2013) A spatial downscaling procedure of MODIS derived actual evapotranspiration using Landsat images at central Greece. Conference Paper in Proceedings of SPIE - The International Society for Optical Engineering
Su Z (2002) The Surface Energy Balance System (SEBS) for estimation of turbulent heat fluxes. Hydrology and Earth System Science 6:85–100
Hong S H, Hendrickx J M H, Borchers B (2011) Down-Scaling of SEBAL derived evapotranspiration maps from MODIS (250m) to LANDSAT (30m) scale. International Journal of Remote Sensing 32: 6437-6456
Tasumi M, Allen R G, Trezza R (2008) Atsurface reflectance and albedo from satellite for operational calculation of land surface energy balance. Journal of Hydrologic Engineering 13(2):51-63
Varvani H, Farhadi Bansouleh B, Sharifi M A (2019) Integration of Landsat 8 satellite images and MODIS sensor to estimate actual crop evapotranspiration of maize during the growing period (Case Study: Mahidasht, Kermanshah Province). Iran-Water Resources Research 15(1):257-266 (In Persian)
Yang G, PU R, Hung W, Wang J, Zhao C (2010) A novel method to estimate subpixel temperature by fusing solar-reflective and thermal-infrared remote-sensing data with an artificial neural network. IEEE Trans Geosci Remote 48:2170-2178