{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,17]],"date-time":"2026-09-17T06:28:38Z","timestamp":1789626518416,"version":"build-2803163510"},"reference-count":102,"publisher":"MDPI AG","issue":"3","license":[{"start":{"date-parts":[[2017,2,23]],"date-time":"2017-02-23T00:00:00Z","timestamp":1487808000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"NASA Terrestrial Hydrology Program","award":["NNX15AB28G"],"award-info":[{"award-number":["NNX15AB28G"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Evapotranspiration (ET) is a key component of the water balance, especially in arid and semiarid regions. The current study takes advantage of spatially-distributed, near real-time information provided by satellite remote sensing to develop a regional scale ET product derived from remotely-sensed observations. ET is calculated by scaling PET estimated from Moderate Resolution Imaging Spectroradiometer (MODIS) products with downscaled soil moisture derived using the Soil Moisture Ocean Salinity (SMOS) satellite and a second order polynomial regression formula. The MODis-Soil Moisture ET (MOD-SMET) estimates are validated using four flux tower sites in southern Arizona USA, a calibrated empirical ET model, and model output from Version 2 of the North American Land Data Assimilation System (NLDAS-2). Validation against daily eddy covariance ET indicates correlations between 0.63 and 0.83 and root mean square errors (RMSE) between 40 and 96 W\/m2. MOD-SMET estimates compare well to the calibrated empirical ET model, with a \u22120.14 difference in correlation between sites, on average. By comparison, NLDAS-2 models underestimate daily ET compared to both flux towers and MOD-SMET estimates. Our analysis shows the MOD-SMET approach to be effective for estimating ET. Because it requires limited ancillary ground-based data and no site-specific calibration, the method is applicable to regions where ground-based measurements are not available.<\/jats:p>","DOI":"10.3390\/rs9030184","type":"journal-article","created":{"date-parts":[[2017,2,23]],"date-time":"2017-02-23T11:45:01Z","timestamp":1487850301000},"page":"184","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":27,"title":["Evapotranspiration Estimates Derived Using Multi-Platform Remote Sensing in a Semiarid Region"],"prefix":"10.3390","volume":"9","author":[{"given":"Kyle","family":"Knipper","sequence":"first","affiliation":[{"name":"Hydrologic Science and Engineering, Department of Civil and Environmental Engineering, Colorado School of Mines, 1500 Illinois Street, Golden, CO 80401, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1524-8896","authenticated-orcid":false,"given":"Terri","family":"Hogue","sequence":"additional","affiliation":[{"name":"Hydrologic Science and Engineering, Department of Civil and Environmental Engineering, Colorado School of Mines, 1500 Illinois Street, Golden, CO 80401, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Russell","family":"Scott","sequence":"additional","affiliation":[{"name":"Southwest Watershed Research Center, USDA-Agricultural Research Services, 2000 E. Allen Road, Tucson, AZ 85719, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kristie","family":"Franz","sequence":"additional","affiliation":[{"name":"Department of Geological and Atmospheric Sciences, Iowa State University, 253 Science, Ames, IA 50011, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2017,2,23]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"245","DOI":"10.1002\/eco.194","article-title":"A general predictive model for estimating monthly ecosystem evapotranspiration","volume":"4","author":"Sun","year":"2011","journal-title":"Ecohydrology"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"540","DOI":"10.1016\/j.rse.2009.10.012","article-title":"An application of the Ts-VI triangle method with enhanced edges determination for evapotranspiration from MODIS data in arid and semi-arid regions: implementation and validation","volume":"114","author":"Tang","year":"2010","journal-title":"Remote Sens. Environ."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"105","DOI":"10.1016\/j.jhydrol.2004.10.024","article-title":"Evaluation of three complimentary relationship evapotranspiration models by water balance approach to estimate actual regional evapotranspiration in different climate regions","volume":"308","author":"Xu","year":"2005","journal-title":"J. Hydrol."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"073493","DOI":"10.1117\/1.JRS.7.073493","article-title":"Evaluation of a MODIS triangle-based evapotranspiration algorithm for semi-arid regions","volume":"7","author":"Kim","year":"2013","journal-title":"J. Appl. Remote Sens."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"195","DOI":"10.1016\/S0168-1923(98)00119-1","article-title":"Spatial representativeness and the location bias of flux footprints over inhomogenous areas","volume":"93","author":"Schmid","year":"1999","journal-title":"Agric. For. Meteorol."},{"key":"ref_6","doi-asserted-by":"crossref","unstructured":"Chen, B., Chen, J.M., Mo, G., Black, T.A., and Worthy, D.E.J. (2008). Comparison of regional carbon flux estimates from CO2 concentration measurements and remote sensing based footprint integration. Glob. Biogeochem. Cycles, 22.","DOI":"10.1029\/2007GB003024"},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"223","DOI":"10.1007\/s10795-005-5186-0","article-title":"Review on estimation of evapotranspiration from remote sensing data: From empirical to numerical modeling approaches","volume":"19","author":"Courault","year":"2005","journal-title":"Irrig. Drain. Syst."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"198","DOI":"10.1016\/S0022-1694(98)00253-4","article-title":"A remote sensing surface energy balance algorithm for land (SEBAL) 1. Formulation","volume":"212\u2013213","author":"Bastiaanssen","year":"1998","journal-title":"J. Hydrol."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"213","DOI":"10.1016\/S0022-1694(98)00254-6","article-title":"A Surface Energy Balance Algorithm for Land (SEBAL): Part 2 validation","volume":"212\u2013213","author":"Bastiaanssen","year":"1998","journal-title":"J. Hydrol."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"87","DOI":"10.1016\/S0022-1694(99)00202-4","article-title":"SEBAL-based sensible and latent heat fluxes in the irrigated Gediz Basin, Turkey","volume":"229","author":"Bastiaanssen","year":"2000","journal-title":"J. Hydrol."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"395","DOI":"10.1061\/(ASCE)0733-9437(2007)133:4(395)","article-title":"Satellite-based energy balance for Mapping Evapotranspiration with Internalized Calibration (METRIC)\u2014Applications","volume":"133","author":"Allen","year":"2007","journal-title":"J. Irrig. Drain. Eng."},{"key":"ref_12","first-page":"D10117","article-title":"A Climatological Study of Evapotranspiration and Moisture Stress across the Continental United States: 1. Model Formulation","volume":"112","author":"Anderson","year":"2007","journal-title":"J. Geophys. Res."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"979","DOI":"10.3390\/s7060979","article-title":"A coupled remote sensing and simplified surface energy balance approach to estimate actual evapotranspiration from irrigated fields","volume":"7","author":"Senay","year":"2007","journal-title":"Sensors"},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"577","DOI":"10.1111\/jawr.12057","article-title":"Operational evapotranspiration mapping using remote sensing and weather datasets: A new parameterization for the SSEB approach","volume":"49","author":"Senay","year":"2013","journal-title":"J. Am. Water Resour. Assoc."},{"key":"ref_15","first-page":"161","article-title":"A method to make use of thermal infrared temperature and NDVI measurements to infer surface soil water content and fractional vegetation cover","volume":"9","author":"Carlson","year":"1994","journal-title":"Int. J. Remote Sens."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"2773","DOI":"10.1029\/1999GL006049","article-title":"A methodology for estimation of surface evapotranspiration over large areas using remote sensing observations","volume":"26","author":"Jiang","year":"1999","journal-title":"Geophys. Res. Lett."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"329","DOI":"10.1029\/2000WR900255","article-title":"Estimation of surface evapotranspiration map over Southern Great Plains using remote sensing data","volume":"37","author":"Jiang","year":"2001","journal-title":"Water Resour. Res."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"2221","DOI":"10.1080\/01431160210154821","article-title":"An intercomparison of regional latent heat flux estimation using remote sensing data","volume":"24","author":"Jiang","year":"2003","journal-title":"Int. J. Remote Sens."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"293","DOI":"10.1016\/j.rse.2006.02.007","article-title":"Estimation of evaporative fraction from a combination of day and night land surface temperature and NDVI: A new method to determine the Priestly-Taylor parameter","volume":"102","author":"Wang","year":"2006","journal-title":"Remote Sens. Environ."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"85","DOI":"10.1061\/(ASCE)0733-9437(2005)131:1(85)","article-title":"SEBAL model with remotely sensed data to improve water-resources management under actual field conditions","volume":"131","author":"Bastiaanssen","year":"2005","journal-title":"ASCE J. Irrig. Drain. Eng."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"273","DOI":"10.1061\/(ASCE)0733-9437(2008)134:3(273)","article-title":"Application of SEBAL model for mapping evapotranspiration and estimating surface energy fluxes in south-central Nebraska","volume":"134","author":"Singh","year":"2008","journal-title":"J. Irrig. Drain. Eng."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"66","DOI":"10.1016\/j.agwat.2016.06.027","article-title":"Satellite-based evapotranspiration over Gezira irrigation scheme, Sudan: A comparative study","volume":"177","author":"Elagib","year":"2016","journal-title":"Agric. Water Manag."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"71","DOI":"10.1016\/j.jhydrol.2004.08.038","article-title":"Integration of various data sources for transient groundwater modeling with spatio-temporally variable fluxes: Sardon study case, Spain","volume":"306","author":"Lubczynski","year":"2005","journal-title":"J. Hydrol."},{"key":"ref_24","first-page":"222","article-title":"Remotely sensed actual evapotranspiration: Implications for groundwater management in Botswana","volume":"1","author":"Timmermans","year":"1999","journal-title":"Int. J. Appl. Earth Obs. Geoinf."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"1337","DOI":"10.5194\/hess-13-1337-2009","article-title":"Evaluation of the Surface Energy Balance System (SEBS) applied to ASTER imagery with flux-measurements at the SPARC 2004 site (Barrax, Spain)","volume":"13","author":"Timmermans","year":"2009","journal-title":"Hydrol. Earth Syst. Sci."},{"key":"ref_26","unstructured":"Feddes, R.A., Kowalik, P.J., and Zaradny, H. (1978). Simulation of Field Water Use and Crop Yield, Centre for Agricultural Publishing and Documentation."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"271","DOI":"10.1016\/0022-1694(83)90045-8","article-title":"Simulation of the water balance of a cropped soil, SWATRE","volume":"63","author":"Belmans","year":"1983","journal-title":"J. Hydrol."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"499","DOI":"10.2134\/jeq1996.00472425002500030015x","article-title":"Scale-Dependency of solute transport modeling\/GIS applications","volume":"25","author":"Wagenet","year":"1996","journal-title":"J. Environ. Qual."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"665","DOI":"10.1175\/2008JHM1024.1","article-title":"Retrieval of an available water-based soil moisture proxy from thermal infrared remote sensing. Part I: methodology and validation","volume":"10","author":"Hain","year":"2009","journal-title":"J. Hydrometeorol."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"D15107","DOI":"10.1029\/2011JD015633","article-title":"An intercomparison of available soil moisture estimates from thermal infrared and passive microwave remote sensing and land surface modeling","volume":"116","author":"Hain","year":"2011","journal-title":"J. Geophys. Res."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"1354","DOI":"10.1175\/1520-0450(1991)030<1354:CSOVFO>2.0.CO;2","article-title":"Comparative study of various formulations of evaporation from bare soil using in situ data","volume":"30","author":"Mahfouf","year":"1991","journal-title":"J. Appl.  Meteorol."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1007\/BF00119116","article-title":"A two layer model for soil hydrology","volume":"29","author":"Mahrt","year":"1984","journal-title":"Bound. Layer Meteorol."},{"key":"ref_33","doi-asserted-by":"crossref","unstructured":"Campbell, G.S., and Norman, J.M. (1998). An Introduction to Environmental Biophysics, Springer.","DOI":"10.1007\/978-1-4612-1626-1"},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"7251","DOI":"10.1029\/95JD02165","article-title":"Modeling of land surface evaporation by four schemes and comparison with FIFE observations","volume":"101","author":"Chen","year":"1996","journal-title":"J. Geophys. Res."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"2896","DOI":"10.1175\/1520-0493(1997)125<2896:AOTLSA>2.0.CO;2","article-title":"Assessment of the land surface and boundary layer models in two operational versions of the NCEP Eta model using FIFE data","volume":"125","author":"Betts","year":"1997","journal-title":"Mon. Weather Rev."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"447","DOI":"10.1175\/1525-7541(2000)001<0447:EWEWPP>2.0.CO;2","article-title":"Estimating watershed evapotranspiration with PASS. Part I: Inferring root-zone moisture conditions using satellite data","volume":"1","author":"Song","year":"2000","journal-title":"J. Hydrometeorol."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"261","DOI":"10.1016\/j.rse.2012.02.003","article-title":"Integration of soil moisture in SEBS for improving evapotranspiration estimation under water stress conditions","volume":"121","author":"Gokmen","year":"2012","journal-title":"Remote Sens. Environ."},{"key":"ref_38","doi-asserted-by":"crossref","unstructured":"Bastiaanssen, W.G.M., Cheema, M.J.M., Immerzeel, W.W., Miltenburg, I.J., and Pelgrum, H. (2012). Surface energy balance and actual evapotranspiration of the transboundary Indus Basin estimated from satellite measurements and the ETLook model. Water Resour. Res., 48.","DOI":"10.1029\/2011WR010482"},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"453","DOI":"10.5194\/hess-15-453-2011","article-title":"Global land-surface evaporation estimated from satellite-based observations","volume":"15","author":"Miralles","year":"2011","journal-title":"Hydrol. Earth Syst. Sci."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"4571","DOI":"10.1080\/01431161.2010.489065","article-title":"Reliable estimation of evapotranspiration on agricultural fields predicted by the Priestley-Taylor model using soil moisture data from ground and remote sensing observations compared with the Common Land Model","volume":"32","author":"Choi","year":"2011","journal-title":"Inter. J. Remote Sens."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"444","DOI":"10.1175\/2007JHM902.1","article-title":"Evaluation of a MODIS-based potential evapotranspiration product at the point scale","volume":"9","author":"Kim","year":"2008","journal-title":"J. Hydrometeorol."},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"4599","DOI":"10.1080\/0143116031000156837","article-title":"Spaceborne soil moisture estimation at high resolution: a microwave-optical\/IR synergistic approach","volume":"22","author":"Chauhan","year":"2003","journal-title":"Inter. J. Remote Sens."},{"key":"ref_43","unstructured":"Teuling, A.J. (2004). 2nd International CAHMDA Workshop on the Terrestrial Water Cycle: Modelling and Data Assimilation across Catchment Scales, Wegeningen University."},{"key":"ref_44","doi-asserted-by":"crossref","unstructured":"Hossain, A., and Easson, G. (2008, January 7\u201311). Evaluating the potential of VI-LST triangle model for quantitative estimation of soil moisture using optical imagery. Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, Boston, MA, USA.","DOI":"10.1109\/IGARSS.2008.4779490"},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"1232","DOI":"10.1016\/j.jaridenv.2008.01.001","article-title":"Multiyear riparian evapotranspiration and groundwater use for a semiarid watershed","volume":"72","author":"Scott","year":"2008","journal-title":"J. Arid Environ."},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"42","DOI":"10.1016\/j.jaridenv.2014.06.007","article-title":"Insights for empirically modeling evapotranspiration influenced by riparian and upland vegetation in semiarid regions","volume":"111","author":"Bunting","year":"2014","journal-title":"J. Arid Environ."},{"key":"ref_47","first-page":"345","article-title":"Completion of the 2011 National Land Cover Database for the conterminous United States-representing a decade of land cover change information","volume":"81","author":"Homer","year":"2015","journal-title":"Photogramm. Eng. Remote Sens."},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"2197","DOI":"10.1175\/1520-0477(1997)078<2197:TNAM>2.0.CO;2","article-title":"The North American Monsoon","volume":"78","author":"Adams","year":"1997","journal-title":"Bull. Am. Meteorol. Soc."},{"key":"ref_49","unstructured":"National Weather Service Forecast Office Rainfall across Southeast Arizona during 2013 Monsoon, Available online: http:www.wrh.noaa.gov\/twc\/monsoon\/season\/2013monsoon.php."},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"3227","DOI":"10.1002\/hyp.6329","article-title":"Partitioning of evapotranspiration and its relation to carbon dioxide exchange in a Chihuahuan Desert shrubland","volume":"20","author":"Scott","year":"2006","journal-title":"Hydrol. Process."},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"219","DOI":"10.1016\/j.agrformet.2009.11.002","article-title":"Using watershed water balance to evaluate the accuracy of eddy covariance evapotranspiration measurements for three semiarid ecosystems","volume":"150","author":"Scott","year":"2010","journal-title":"Agric. For. Meteorol."},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"585","DOI":"10.1016\/j.jaridenv.2009.10.003","article-title":"Digital image-derived greenness links deep soil moisture to carbon uptake in a creosotebush-dominated shrubland","volume":"74","author":"Kurc","year":"2010","journal-title":"J. Arid Environ."},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"65","DOI":"10.1016\/j.agrformet.2003.09.001","article-title":"Interannual and seasonal variation in fluxes of water and carbon dioxide from a riparian woodland ecosystem","volume":"122","author":"Scott","year":"2004","journal-title":"Agric. For. Meteorol."},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"84","DOI":"10.1016\/j.jaridenv.2015.02.010","article-title":"Wide-area ratios of evapotranspiration to precipitation in monsoon-dependent semiarid vegetation communities","volume":"117","author":"Glenn","year":"2015","journal-title":"J. Arid. Environ."},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"279","DOI":"10.1016\/S0168-1923(00)00123-4","article-title":"Correcting eddy-covariance flux under- estimates over a grassland","volume":"103","author":"Twine","year":"2000","journal-title":"Agric. For. Meteorol."},{"key":"ref_56","doi-asserted-by":"crossref","unstructured":"Scott, R.L., Jenerette, G.D., Potts, D.L., and Huxman, T.E. (2009). Effects of seasonal drought on net carbon dioxide exchange from a woody-plant-encroached semiarid grassland. J. Geophys. Res., 114.","DOI":"10.1029\/2008JG000900"},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"1729","DOI":"10.1109\/36.942551","article-title":"Soil moisture retrieval from space: The Soil Moisture and Ocean Salinity (SMOS) mission","volume":"39","author":"Kerr","year":"2001","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_58","first-page":"666","article-title":"The SMOS Mission: New tool for monitoring key elements of the global water cycle","volume":"98","author":"Kerr","year":"2010","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_59","doi-asserted-by":"crossref","first-page":"213","DOI":"10.1007\/BF01030061","article-title":"Mapping surface soil moisture with microwave radiometers","volume":"54","author":"Schmugge","year":"1994","journal-title":"Meteorol. Atmos. Phys."},{"key":"ref_60","doi-asserted-by":"crossref","first-page":"225","DOI":"10.1109\/36.20301","article-title":"Passive microwave remote sensing system for soil moisture: Some supporting research","volume":"27","author":"Jackson","year":"1989","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_61","doi-asserted-by":"crossref","first-page":"203","DOI":"10.1016\/0034-4257(91)90057-D","article-title":"Vegetation effects on the microwave emission from soils","volume":"36","author":"Jackson","year":"2001","journal-title":"Remote Sens. Environ."},{"key":"ref_62","doi-asserted-by":"crossref","first-page":"995","DOI":"10.1016\/j.rse.2009.12.011","article-title":"Effective soil moisture sampling depth of L-band radiometry: A case study","volume":"114","author":"Escorihuela","year":"2010","journal-title":"Remote Sens. Environ."},{"key":"ref_63","unstructured":"Knipper, K., Hogue, T., Scott, R., and Franz, K. (2017). Downscaling AMSR2 and SMOS soil moisture with MODIS visible and infrared products over southern Arizona. J. Appl. Remote Sens., in press."},{"key":"ref_64","doi-asserted-by":"crossref","first-page":"1384","DOI":"10.1109\/TGRS.2012.2184548","article-title":"The SMOS soil moisture retrieval algorithm","volume":"50","author":"Kerr","year":"2012","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_65","doi-asserted-by":"crossref","first-page":"74","DOI":"10.1109\/LGRS.2004.841370","article-title":"Diurnal variation of vertical temperature gradients within a field of maize: Implications for satellite microwave radiometry","volume":"2","author":"Hornbuckle","year":"2005","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"key":"ref_66","doi-asserted-by":"crossref","first-page":"704","DOI":"10.1109\/JPROC.2010.2043918","article-title":"The soil moisture active passive SMAP mission","volume":"98","author":"Entekhabi","year":"2010","journal-title":"Proc. IEEE"},{"key":"ref_67","doi-asserted-by":"crossref","unstructured":"Huete, A.R., Didan, K., van Leeuwen, W.J.D., and Vermote, E.F. (1999). Global-scale analysis of vegetation indices for moderate resolution monitoring of terrestrial vegetation. Proc. SPIE.","DOI":"10.1117\/12.373090"},{"key":"ref_68","doi-asserted-by":"crossref","first-page":"1125","DOI":"10.3390\/rs1041125","article-title":"An Empirical algorithm for estimating agricultural and riparian evapotranspiration using MODIS enhanced vegetation index and ground measurements of ET. II. Application to the Lower Colorado River, US","volume":"1","author":"Murray","year":"2009","journal-title":"Remote Sens."},{"key":"ref_69","doi-asserted-by":"crossref","first-page":"17","DOI":"10.1016\/j.rse.2004.08.009","article-title":"Predicting riparian evapotranspiration from MODIS vegetation indices and meteorological data","volume":"94","author":"Nagler","year":"2005","journal-title":"Remote Sens. Environ."},{"key":"ref_70","doi-asserted-by":"crossref","first-page":"337","DOI":"10.1016\/j.rse.2005.05.011","article-title":"Evapotranspiration on western U.S. rivers estimated using the enhanced vegetation index from MODIS and data from eddy covariance and bowen ratio flux towers","volume":"97","author":"Nagler","year":"2005","journal-title":"Remote Sens. Environ."},{"key":"ref_71","doi-asserted-by":"crossref","unstructured":"Nagler, P.L., Glenn, E.P., Kim, H., Emmerich, W., Scott, R.L., Huxman, T.E., and Huete, A.R. (2007). Relationship between evapotranspiration and precipitation pulses in semiarid rangeland estimated by soil moisture flux towers and MODIS vegetation indices. J. Arid Environ., 70.","DOI":"10.1016\/j.jaridenv.2006.12.026"},{"key":"ref_72","first-page":"415","article-title":"A simple hydrologically based model of land surface water and energy fluxes for GCMs","volume":"99","author":"Liang","year":"1994","journal-title":"J. Geophys. Res."},{"key":"ref_73","doi-asserted-by":"crossref","first-page":"61","DOI":"10.1016\/0309-1708(94)90024-8","article-title":"The components of a SVAT scheme and their effects on a GCM\u2019s hydrological cycle","volume":"17","author":"Koster","year":"1994","journal-title":"Adv. Water Resour."},{"key":"ref_74","unstructured":"Burnash, R.J., Ferral, R.L., and McGuire, R.A. (1973). A Generalized Streamflow Simulation System Conceptual: Modeling for Digital Computers, Joint Federal-State River Forecast Center."},{"key":"ref_75","doi-asserted-by":"crossref","unstructured":"Xia, Y., Mitchell, K., Ek, M., Sheffield, J., Cosgrove, B., Wood, E., Luo, L., Alonge, C., Wei, H., and Meng, J. (2012). Continental-scale water and energy flux analysis and validation for the North American Land Data Assimilation System project phase 2 (NLDAS-2): 1. Comparison analysis and application of model products. J. Geophys. Res., 117.","DOI":"10.1029\/2011JD016048"},{"key":"ref_76","doi-asserted-by":"crossref","unstructured":"Xia, Y., Mitchell, K., Ek, M., Cosgrove, B., Sheffield, J., Luo, L., Alonge, C., Wei, H., Meng, J., and Livneh, B. (2012). Continental-scale water and energy flux analysis and validation for the North American Land Data Assimilation System project phase 2 (NLDAS-2): 2. Validation of model simulated streamflow. J. Geophys. Res., 117.","DOI":"10.1029\/2011JD016051"},{"key":"ref_77","doi-asserted-by":"crossref","first-page":"81","DOI":"10.1175\/1520-0493(1972)100<0081:OTAOSH>2.3.CO;2","article-title":"On the assessment of surface heat flux and evaporation using large scale parameters","volume":"100","author":"Priestley","year":"1972","journal-title":"Mon. Weather Rev."},{"key":"ref_78","doi-asserted-by":"crossref","first-page":"247","DOI":"10.1016\/0168-1923(91)90094-7","article-title":"Use of the Priestley\u2013Taylor evaporation equation for soil\u2013water limited conditions in a small forest clear-cut","volume":"56","author":"Flint","year":"1991","journal-title":"Agric. For. Meteorol."},{"key":"ref_79","doi-asserted-by":"crossref","first-page":"1379","DOI":"10.1029\/93WR00333","article-title":"Comparison of Penman\u2013Monteith, Shuttleworth\u2013Wallace, and modified Priestley\u2013Taylor evapotranspiration models for wildland vegetation in semiarid rangeland","volume":"29","author":"Stannard","year":"1993","journal-title":"Water Resour. Res."},{"key":"ref_80","unstructured":"Sumner, D.M. (1996). Evapotranspiration from Successional Vegetation in a Deforested Area of the Lake Wales Ridge, Florida."},{"key":"ref_81","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/0168-1923(92)90021-U","article-title":"Analysis of the Priestley\u2013Taylor parameter","volume":"61","author":"Pereira","year":"1992","journal-title":"Agric. For. Meteorol."},{"key":"ref_82","doi-asserted-by":"crossref","first-page":"783","DOI":"10.1016\/j.envsoft.2004.04.009","article-title":"Evapotranspiration models compared on a Sierra Nevada forest ecosystem","volume":"20","author":"Fisher","year":"2005","journal-title":"Model. Softw."},{"key":"ref_83","unstructured":"Zillman, J.W. (1972). A Study of Some Aspects of the Radiation and Heat Budgets of the Southern Hemisphere Oceans."},{"key":"ref_84","doi-asserted-by":"crossref","first-page":"1522","DOI":"10.1016\/j.rse.2010.02.007","article-title":"Estimation of net radiation from the MODIS data under all sky conditions: Southern Great Plains case study","volume":"114","author":"Bisht","year":"2010","journal-title":"Remote Sens. Environ."},{"key":"ref_85","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/S0169-8095(01)00084-9","article-title":"Comparison of surface radiative flux parameterizations: Part I: Longwave radiation","volume":"58","author":"Niemela","year":"2001","journal-title":"Atmos. Res."},{"key":"ref_86","doi-asserted-by":"crossref","first-page":"52","DOI":"10.1016\/j.rse.2005.03.014","article-title":"Estimation of the net radiation using MODIS (Moderate Resolution Imaging Spectroradiometer) data for clear sky days","volume":"97","author":"Bisht","year":"2005","journal-title":"Remote Sens. Environ."},{"key":"ref_87","doi-asserted-by":"crossref","first-page":"742","DOI":"10.1029\/WR011i005p00742","article-title":"One derivable formula for long-wave radiation from clear skies","volume":"11","author":"Brutsaert","year":"1975","journal-title":"Water Resour. Res."},{"key":"ref_88","doi-asserted-by":"crossref","first-page":"425","DOI":"10.5194\/hess-15-425-2011","article-title":"Developing an improved soilmoisture dataset by blending passive and active microwave satellite-based retrievals","volume":"15","author":"Liu","year":"2011","journal-title":"Hydrol. Earth Syst. Sci."},{"key":"ref_89","doi-asserted-by":"crossref","first-page":"3156","DOI":"10.1109\/TGRS.2011.2120615","article-title":"Downscaling SMOS-derived soil moisture using MODIS Visible\/Infrared","volume":"49","author":"Piles","year":"2011","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_90","doi-asserted-by":"crossref","first-page":"446","DOI":"10.1109\/TGRS.2011.2161318","article-title":"Improving spatial soil moisture representation through integration of AMSR-E and MODIS products","volume":"50","author":"Kim","year":"2012","journal-title":"IEEE T. Geosci. Remote Sens."},{"key":"ref_91","doi-asserted-by":"crossref","first-page":"1031","DOI":"10.2136\/sssaj1986.03615995005000040039x","article-title":"Estimating generalized soil-water characteristics from texture","volume":"50","author":"Saxton","year":"1986","journal-title":"Soil Sci. Soc. Am. J."},{"key":"ref_92","unstructured":"Brooks, R.J., and Corey, A.T. (1996). Hydraulic Properties of Porous Media, Colorado State University. Hydrology Papers No. 3."},{"key":"ref_93","doi-asserted-by":"crossref","first-page":"892","DOI":"10.2136\/sssaj1980.03615995004400050002x","article-title":"A closed-form equation for predicating the hydraulic conductivity on unsaturated soils","volume":"44","year":"1980","journal-title":"Soil Sci. Soc. Am. J."},{"key":"ref_94","doi-asserted-by":"crossref","first-page":"233","DOI":"10.3390\/rs6010233","article-title":"Actual evapotranspiration (water use) assessment of the Colorado River Basin at the Landsat resolution using the Operational Simplified Surface Energy Balance Model","volume":"6","author":"Singh","year":"2014","journal-title":"Remote Sens."},{"key":"ref_95","doi-asserted-by":"crossref","unstructured":"Kurc, S.A., and Small, E.E. (2007). Soil moisture variations and ecosystem-scale fluxes of water and carbon in semiarid grassland and shrubland. Water Resour. Res., 43.","DOI":"10.1029\/2006WR005011"},{"key":"ref_96","doi-asserted-by":"crossref","first-page":"3191","DOI":"10.1002\/hyp.6327","article-title":"Sensitivity of riparian ecosystems to moisture pulses in semiarid environments","volume":"20","author":"Williams","year":"2006","journal-title":"Hydrol. Process."},{"key":"ref_97","doi-asserted-by":"crossref","unstructured":"Goodrich, D.C., Unkrich, C.L., Keefer, T.O., Nichols, M.H., Stone, J.J., Levick, L.R., and Scott, R.L. (2008). Event to multidecadal persistence in rainfall and runoff in southeast Arizona. Water Resour. Res., 44.","DOI":"10.1029\/2007WR006222"},{"key":"ref_98","first-page":"67","article-title":"Biomass distribution at grassland and shrubland sites","volume":"8","author":"Cox","year":"1986","journal-title":"Rangelands"},{"key":"ref_99","doi-asserted-by":"crossref","unstructured":"Crow, W.T. (2002). Impact of soil moisture aggregation on surface energy flux prediction during SGP\u20199. Geophys. Res. Lett., 29.","DOI":"10.1029\/2001GL013796"},{"key":"ref_100","doi-asserted-by":"crossref","first-page":"243","DOI":"10.1016\/j.agrformet.2013.10.006","article-title":"Effects of fine-scale soil moisture and canopy heterogeneity on energy and water fluxes in a northern temperate mixed forest","volume":"184","author":"He","year":"2014","journal-title":"Agric. For. Meteorol."},{"key":"ref_101","doi-asserted-by":"crossref","first-page":"556","DOI":"10.1175\/1525-7541(2002)003<0556:SHOTSM>2.0.CO;2","article-title":"Spatial heterogeneity of the soil moisture content and its impact on surface flux densities and near-surface meteorology","volume":"3","author":"Ronda","year":"2002","journal-title":"J. Hydrometeorol."},{"key":"ref_102","doi-asserted-by":"crossref","unstructured":"Tang, R., Li, Z.L., and Chen, K.S. (2011). Validating MODIS-derived land surface evapotranspiration with in situ measurements at two Ameriflux sites in a semiarid regions. J. Geophys. Res., 116.","DOI":"10.1029\/2010JD014543"}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/9\/3\/184\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T18:29:02Z","timestamp":1760207342000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/9\/3\/184"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,2,23]]},"references-count":102,"journal-issue":{"issue":"3","published-online":{"date-parts":[[2017,3]]}},"alternative-id":["rs9030184"],"URL":"https:\/\/doi.org\/10.3390\/rs9030184","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017,2,23]]}}}