{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,6]],"date-time":"2026-04-06T16:04:22Z","timestamp":1775491462104,"version":"3.50.1"},"reference-count":106,"publisher":"MDPI AG","issue":"3","license":[{"start":{"date-parts":[[2021,1,29]],"date-time":"2021-01-29T00:00:00Z","timestamp":1611878400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100002850","name":"Fondo Nacional de Desarrollo Cient\u00edfico y Tecnol\u00f3gico","doi-asserted-by":"publisher","award":["1170429"],"award-info":[{"award-number":["1170429"]}],"id":[{"id":"10.13039\/501100002850","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Water scarcity is one of the most important problems of agroecosystems in Mediterranean and semiarid areas, especially for species such as vineyards that largely depend on irrigation. Actual evapotranspiration (ET) is a variable that represents water consumption of a crop, integrating climate and biophysical variables. Actual evapotranspiration models based on remote sensing data from visible bands of Sentinel-2, including Penman-Monteith\u2013Stewart (RS-PMS) and Penman-Monteith\u2013Leuning (RS-PML), were evaluated at different temporal scales in a Cabernet Sauvignon vineyard (Vitis vinifera L.) located in central Chile, and their performance compared with independent ET measurements from an eddy covariance system (EC) and outputs from models based on thermal infrared data from Landsat 7 and Landsat 8, such as Mapping EvapoTranspiration with high Resolution and Internalized Calibration (METRIC) and Priestley\u2013Taylor Two-Source Model (TSEB-PT). The RS-PMS model showed the best goodness of fit for all temporal scales evaluated, especially at instantaneous and daily ET, with root mean squared error (RMSE) of 28.9 Wm\u22122 and 0.52 mm day\u22121, respectively, and Willmott agreement index (d1) values of 0.77 at instantaneous scale and 0.7 at daily scale. Additionally, both approaches of RS-PM model were evaluated incorporating a soil evaporation estimation method, one considering the soil water content (fSWC) and the other hand, using the ratio of accumulated precipitation and equivalent evaporation (fZhang), achieving the best fit at instantaneous scale for RS-PMS fSWC method with relative root mean squared error (%RMSE) of 15.2% in comparison to 58.8% of fZhang. Finally, the relevance of the RS-PMS model was highlighted in the assessment and monitoring of vineyard drip irrigation in terms of crop coefficient (Kc) estimation, which is one of the methods commonly used in irrigation planning, yielding a comparable Kc to the one obtained by the EC tower with a bias around 9%.<\/jats:p>","DOI":"10.3390\/rs13030478","type":"journal-article","created":{"date-parts":[[2021,1,29]],"date-time":"2021-01-29T09:25:22Z","timestamp":1611912322000},"page":"478","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":20,"title":["Evaluation of Penman-Monteith Model Based on Sentinel-2 Data for the Estimation of Actual Evapotranspiration in Vineyards"],"prefix":"10.3390","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8001-1735","authenticated-orcid":false,"given":"V\u00edctor","family":"Garc\u00eda-Guti\u00e9rrez","sequence":"first","affiliation":[{"name":"Departamento de Ecosistemas y Medio Ambiente, Facultad de Agronom\u00eda e Ingenier\u00eda Forestal, Pontificia Universidad Cat\u00f3lica de Chile, Santiago 7560969, Chile"},{"name":"Departamento de Ingenier\u00eda Agr\u00edcola, Facultad de Agronom\u00eda, Universidad Central de Venezuela, Maracay 4579, Venezuela"}]},{"given":"Claudio","family":"St\u00f6ckle","sequence":"additional","affiliation":[{"name":"Biological Systems Engineering Department, Washington State University, Pullman, WA 646120, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1235-5840","authenticated-orcid":false,"given":"Pilar Macarena","family":"Gil","sequence":"additional","affiliation":[{"name":"Departamento de Fruticultura y Enolog\u00eda, Facultad de Agronom\u00eda e Ingenier\u00eda Forestal, Pontificia Universidad Cat\u00f3lica de Chile, Santiago 7560969, Chile"}]},{"given":"Francisco Javier","family":"Meza","sequence":"additional","affiliation":[{"name":"Departamento de Ecosistemas y Medio Ambiente, Facultad de Agronom\u00eda e Ingenier\u00eda Forestal, Pontificia Universidad Cat\u00f3lica de Chile, Santiago 7560969, Chile"},{"name":"Centro Interdisciplinario de Cambio Global, Pontificia Universidad Cat\u00f3lica de Chile, Santiago 7820436, Chile"}]}],"member":"1968","published-online":{"date-parts":[[2021,1,29]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"S31","DOI":"10.1016\/S0959-3780(99)00017-5","article-title":"Climate change and global water resources","volume":"9","author":"Arnell","year":"1999","journal-title":"Glob. Environ. Chang."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"15","DOI":"10.1038\/s41545-019-0039-9","article-title":"Reassessing the projections of the World Water Development Report","volume":"2","author":"Boretti","year":"2019","journal-title":"Npj Clean Water"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"217","DOI":"10.1007\/s10584-016-1604-6","article-title":"Balancing global water availability and use at basin scale in an integrated assessment model","volume":"136","author":"Kim","year":"2016","journal-title":"Clim. Chang."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"2877","DOI":"10.5194\/hess-20-2877-2016","article-title":"Variations of global and continental water balance components as impacted by climate forcing uncertainty and human water use","volume":"20","author":"Schmied","year":"2016","journal-title":"Hydrol. Earth Syst. Sci."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"175","DOI":"10.5194\/gmd-9-175-2016","article-title":"Modeling global water use for the 21st century: The Water Futures and Solutions (WFaS) initiative and its approaches","volume":"9","author":"Wada","year":"2016","journal-title":"Geosci. Model Dev."},{"key":"ref_6","first-page":"121","article-title":"Vine water status is a key factor in grape ripening and vintage quality for red Bordeaux wine. How can it be assessed for vineyard management purposes?","volume":"43","author":"Bois","year":"2009","journal-title":"J. Int. Sci. Vigne Vin"},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"499","DOI":"10.1007\/s13593-014-0280-z","article-title":"Improving water use efficiency of vineyards in semi-arid regions. A review","volume":"35","author":"Medrano","year":"2015","journal-title":"Agron. Sustain. Dev."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"86","DOI":"10.1016\/j.agwat.2019.03.051","article-title":"Water consumption, crop coefficient and leaf area relations of a Vitis vinifera cv. \u201cCabernet Sauvignon\u201d vineyard","volume":"219","author":"Munitz","year":"2019","journal-title":"Agric. Water Manag."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"3","DOI":"10.2147\/IJWR.S107312","article-title":"Interannual Climatic Variability Effects on Yield, Berry and Wine Quality Indices in Long-Term Deficit Irrigated Grapevines, Determined by Multivariate Analysis","volume":"8","author":"Romero","year":"2016","journal-title":"Int. J. Wine Res."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"249","DOI":"10.1016\/j.rse.2011.11.021","article-title":"Assessment of grape yield and composition using the reflectance based Water Index in Mediterranean rainfed vineyards","volume":"118","author":"Serrano","year":"2012","journal-title":"Remote Sens. Environ."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"50","DOI":"10.1016\/j.rse.2011.08.025","article-title":"Use of Landsat thermal imagery in monitoring evapotranspiration and managing water resources","volume":"122","author":"Anderson","year":"2012","journal-title":"Remote Sens. Environ."},{"key":"ref_12","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_13","doi-asserted-by":"crossref","first-page":"531","DOI":"10.1007\/s10712-010-9102-2","article-title":"Vegetation Index Methods for Estimating Evapotranspiration by Remote Sensing","volume":"31","author":"Glenn","year":"2010","journal-title":"Surv. Geophys."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"139","DOI":"10.1080\/07352680701402503","article-title":"Integrating Remote Sensing and Ground Methods to Estimate Evapotranspiration","volume":"26","author":"Glenn","year":"2007","journal-title":"Crit. Rev. Plant Sci."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"1843","DOI":"10.1016\/j.agrformet.2009.06.012","article-title":"A comparison of operational remote sensing-based models for estimating crop evapotranspiration","volume":"149","author":"Neale","year":"2009","journal-title":"Agric. For. Meteorol."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"495","DOI":"10.1080\/02626669609491522","article-title":"Use of remote sensing for evapotranspiration monitoring over land surfaces","volume":"41","author":"Kustas","year":"1996","journal-title":"Hydrol. Sci. J."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"4050","DOI":"10.1002\/hyp.8392","article-title":"Vegetation index-based crop coefficients to estimate evapotranspiration by remote sensing in agricultural and natural ecosystems","volume":"25","author":"Glenn","year":"2011","journal-title":"Hydrol. Process."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"380","DOI":"10.1061\/(ASCE)0733-9437(2007)133:4(380)","article-title":"Satellite-Based Energy Balance for Mapping Evapotranspiration with Internalized Calibration (METRIC)\u2014Model","volume":"133","author":"Allen","year":"2007","journal-title":"J. Irrig. Drain. Eng."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"2601","DOI":"10.1002\/wrcr.20208","article-title":"Assessing the impact of end-member selection on the accuracy of satellite-based spatial variability models for actual evapotranspiration estimation","volume":"49","author":"Long","year":"2013","journal-title":"Water Resour. Res."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"1061","DOI":"10.5194\/hess-13-1061-2009","article-title":"Estimation of actual evapotranspiration of Mediterranean perennial crops by means of remote-sensing based surface energy balance models","volume":"13","author":"Minacapilli","year":"2009","journal-title":"Hydrol. Earth Syst. Sci."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"11342","DOI":"10.3390\/rs61111342","article-title":"Parameterization of the Satellite-Based Model (METRIC) for the Estimation of Instantaneous Surface Energy Balance Components over a Drip-Irrigated Vineyard","volume":"6","author":"Lagos","year":"2014","journal-title":"Remote Sens."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"485","DOI":"10.1007\/s00271-012-0379-4","article-title":"Crop coefficients and actual evapotranspiration of a drip-irrigated Merlot vineyard using multispectral satellite images","volume":"30","author":"Lagos","year":"2012","journal-title":"Irrig. Sci."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"1433","DOI":"10.3390\/rs12091433","article-title":"Modelling High-Resolution Actual Evapotranspiration through Sentinel-2 and Sentinel-3 Data Fusion","volume":"12","author":"Guzinski","year":"2020","journal-title":"Remote Sens."},{"key":"ref_24","unstructured":"Ciraolo, G., Capodici, F., D\u2019Urso, G., la Loggia, G., and Maltese, A. (2012, January 23\u201327). Mapping evapotranspiration on vineyards: The SENTINEL-2 potentiality-NASA\/ADS. Proceedings of the First Sentinel-2 Preparatory Symposium, Frascati, Italy."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"1326","DOI":"10.1016\/j.rse.2011.01.013","article-title":"Comparison of two temperature differencing methods to estimate daily evapotranspiration over a Mediterranean vineyard watershed from ASTER data","volume":"115","author":"Galleguillos","year":"2011","journal-title":"Remote Sens. Environ."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"423","DOI":"10.1016\/j.rse.2016.10.049","article-title":"Estimating high resolution evapotranspiration from disaggregated thermal images","volume":"187","author":"Bisquert","year":"2016","journal-title":"Remote Sens. Environ."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"333","DOI":"10.1007\/s00271-018-00618-y","article-title":"Comparison of vineyard evapotranspiration estimates from surface renewal using measured and modelled energy balance components in the GRAPEX project","volume":"37","author":"Parry","year":"2019","journal-title":"Irrig. Sci."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"431","DOI":"10.1007\/s00271-018-0591-y","article-title":"Evapotranspiration estimates derived using thermal-based satellite remote sensing and data fusion for irrigation management in California vineyards","volume":"37","author":"Knipper","year":"2018","journal-title":"Irrig. Sci."},{"key":"ref_29","doi-asserted-by":"crossref","unstructured":"Nieto, H., Bellvert, J., Kustas, W.P., Alfieri, J.G., Gao, F., Prueger, J., Torres-Rua, A.F., Hipps, L.E., Elarab, M., and Song, L. (2017, January 23\u201328). Unmanned airborne thermal and mutilspectral imagery for estimating evapotranspiration in irrigated vineyards. Proceedings of the International Geoscience and Remote Sensing Symposium (IGARSS), Fort Worth, TX, USA.","DOI":"10.1109\/IGARSS.2017.8128252"},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"155","DOI":"10.1016\/j.rse.2015.10.025","article-title":"Monitoring daily evapotranspiration over two California vineyards using Landsat 8 in a multi-sensor data fusion approach","volume":"185","author":"Semmens","year":"2016","journal-title":"Remote Sens. Environ."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"1523","DOI":"10.5194\/hess-20-1523-2016","article-title":"Mapping evapotranspiration with high-resolution aircraft imagery over vineyards using one- and two-source modeling schemes","volume":"20","author":"Xia","year":"2016","journal-title":"Hydrol. Earth Syst. Sci."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"251","DOI":"10.1007\/s10795-005-5187-z","article-title":"A Landsat-based energy balance and evapotranspiration model in Western US water rights regulation and planning","volume":"19","author":"Allen","year":"2005","journal-title":"Irrig. Drain. Syst."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"171","DOI":"10.1016\/j.rse.2015.12.043","article-title":"Evaluating Landsat 8 evapotranspiration for water use mapping in the Colorado River Basin","volume":"185","author":"Senay","year":"2016","journal-title":"Remote Sens. Environ."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"452","DOI":"10.1016\/j.rse.2018.06.035","article-title":"Capability of Sentinel-2 data for estimating maximum evapotranspiration and irrigation requirements for tomato crop in Central Italy","volume":"215","author":"Vanino","year":"2018","journal-title":"Remote Sens. Environ."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"44","DOI":"10.1016\/j.agwat.2018.05.017","article-title":"Estimating cotton water consumption using a time series of Sentinel-2 imagery","volume":"207","author":"Rozenstein","year":"2018","journal-title":"Agric. Water Manag."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"231","DOI":"10.1016\/j.isprsjprs.2019.06.011","article-title":"Calculating potential evapotranspiration and single crop coefficient based on energy balance equation using Landsat 8 and Sentinel-2","volume":"154","author":"Mokhtari","year":"2019","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"157","DOI":"10.1016\/j.rse.2018.11.019","article-title":"Evaluating the feasibility of using Sentinel-2 and Sentinel-3 satellites for high-resolution evapotranspiration estimations","volume":"221","author":"Guzinski","year":"2019","journal-title":"Remote Sens. Environ."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"14708","DOI":"10.3390\/rs71114708","article-title":"Estimation of Evapotranspiration and Crop Coefficients of Tendone Vineyards Using Multi-Sensor Remote Sensing Data in a Mediterranean Environment","volume":"7","author":"Vanino","year":"2015","journal-title":"Remote Sens."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"1287","DOI":"10.3390\/rs0251287","article-title":"Determining Regional Actual Evapotranspiration of Irrigated Crops and Natural Vegetation in the S\u00e3o Francisco River Basin (Brazil) Using Remote Sensing and Penman-Monteith Equation","volume":"2","author":"Teixeira","year":"2010","journal-title":"Remote Sens."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"285","DOI":"10.1016\/j.rse.2006.07.007","article-title":"Regional evaporation estimates from flux tower and MODIS satellite data","volume":"106","author":"Cleugh","year":"2007","journal-title":"Remote Sens. Environ."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"10","DOI":"10.1029\/2007WR006562","article-title":"A simple surface conductance model to estimate regional evaporation using MODIS leaf area index and the Penman-Monteith equation","volume":"44","author":"Leuning","year":"2008","journal-title":"Water Resour. Res."},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"339","DOI":"10.1111\/j.1365-3040.1995.tb00370.x","article-title":"A critical appraisal of a combined stomatal-photosynthesis model for C3 plants","volume":"18","author":"Leuning","year":"1995","journal-title":"Plant Cell Environ."},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"6572","DOI":"10.1002\/wrcr.20468","article-title":"Improving evapotranspiration estimates in Mediterranean drylands: The role of soil evaporation","volume":"49","author":"Morillas","year":"2013","journal-title":"Water Resour. Res."},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"5512","DOI":"10.1029\/2009WR008716","article-title":"Using long-term water balances to parameterize surface conductances and calculate evaporation at 0.05\u00b0 spatial resolution","volume":"46","author":"Zhang","year":"2010","journal-title":"Water Resour. Res."},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"19","DOI":"10.1016\/0168-1923(88)90003-2","article-title":"Modelling surface conductance of pine forest","volume":"43","author":"Stewart","year":"1988","journal-title":"Agric. For. Meteorol."},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"479","DOI":"10.1046\/j.1365-2486.2003.00629.x","article-title":"Assessing the eddy covariance technique for evaluating carbon dioxide exchange rates of ecosystems: Past, present and future","volume":"9","author":"Baldocchi","year":"2003","journal-title":"Glob. Chang. Biol."},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"512","DOI":"10.1175\/1520-0426(1997)014<0512:QCAFSP>2.0.CO;2","article-title":"Quality Control and Flux Sampling Problems for Tower and Aircraft Data","volume":"14","author":"Vickers","year":"1997","journal-title":"J. Atmos. Ocean. Technol."},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"127","DOI":"10.1023\/A:1018966204465","article-title":"Sonic Anemometer Tilt Correction Algorithms","volume":"99","author":"Wilczak","year":"2001","journal-title":"Bound. Layer Meteorol."},{"key":"ref_49","doi-asserted-by":"crossref","unstructured":"Kaimal, J.C., and Finnigan, J.J. (1994). Atmospheric Boundary Layer Flows: Their Structure and Measurement, Oxford University Press.","DOI":"10.1093\/oso\/9780195062397.001.0001"},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"589","DOI":"10.1016\/S0022-1694(96)03194-0","article-title":"A system to measure surface fluxes of momentum, sensible heat, water vapour and carbon dioxide","volume":"188\u2013189","author":"Moncrieff","year":"1997","journal-title":"J. Hydrol."},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"85","DOI":"10.1002\/qj.49710644707","article-title":"Correction of flux measurements for density effects due to heat and water vapour transfer","volume":"106","author":"Webb","year":"1980","journal-title":"Q. J. R. Meteorol. Soc."},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"83","DOI":"10.1016\/0168-1923(95)02248-1","article-title":"Tools for quality assessment of surface-based flux measurements","volume":"78","author":"Foken","year":"1996","journal-title":"Agric. For. Meteorol."},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"223","DOI":"10.1016\/S0168-1923(02)00109-0","article-title":"Energy balance closure at FLUXNET sites","volume":"113","author":"Wilson","year":"2002","journal-title":"Agric. For. Meteorol."},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"503","DOI":"10.1023\/B:BOUN.0000030653.71031.96","article-title":"A Simple Parameterisation for Flux Footprint Predictions","volume":"112","author":"Kljun","year":"2004","journal-title":"Bound. Layer Meteorol."},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"795","DOI":"10.1016\/j.agrformet.2008.10.021","article-title":"Spatial representativeness of tall tower eddy covariance measurements using remote sensing and footprint analysis","volume":"149","author":"Barcza","year":"2009","journal-title":"Agric. For. Meteorol."},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"137","DOI":"10.1007\/s10546-008-9339-1","article-title":"(Tony); Morgenstern, K. Assessing Tower Flux Footprint Climatology and Scaling Between Remotely Sensed and Eddy Covariance Measurements","volume":"130","author":"Chen","year":"2008","journal-title":"Bound. Layer Meteorol."},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"943","DOI":"10.1109\/LGRS.2014.2368580","article-title":"Characterizing the Footprint of Eddy Covariance System and Large Aperture Scintillometer Measurements to Validate Satellite-Based Surface Fluxes","volume":"12","author":"Bai","year":"2015","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"key":"ref_58","doi-asserted-by":"crossref","first-page":"100","DOI":"10.1111\/j.1755-0238.1995.tb00085.x","article-title":"Growth Stages of the Grapevine: Phenological growth stages of the grapevine (Vitis vinifera L. ssp. vinifera)\u2014Codes and descriptions according to the extended BBCH scale","volume":"1","author":"Lorenz","year":"1995","journal-title":"Aust. J. Grape Wine Res."},{"key":"ref_59","doi-asserted-by":"crossref","first-page":"9","DOI":"10.11118\/actaun201765010009","article-title":"Light use efficiency of aboveground biomass production of Norway spruce stands","volume":"65","author":"Bellan","year":"2017","journal-title":"Acta Univ. Agric. Silvic. Mendel. Brun."},{"key":"ref_60","doi-asserted-by":"crossref","first-page":"455","DOI":"10.17221\/112\/2018-JFS","article-title":"LaiPen LP 100\u2013a new device for estimating forest ecosystem leaf area index compared to the etalon: A methodologic case study","volume":"64","author":"Krejza","year":"2018","journal-title":"J. For. Sci."},{"key":"ref_61","doi-asserted-by":"crossref","first-page":"75","DOI":"10.11118\/beskyd201710010075","article-title":"In situ data supporting remote sensing estimation of spruce forest parameters at the ecosystem station B\u00edl\u00fd K\u0159\u00ed\u017e","volume":"10","author":"Brovkina","year":"2017","journal-title":"Beskydy"},{"key":"ref_62","doi-asserted-by":"crossref","first-page":"549","DOI":"10.1093\/aob\/mci052","article-title":"On the Factor Light in Plant Communities and its Importance for Matter Production","volume":"95","author":"Monsi","year":"2004","journal-title":"Ann. Bot."},{"key":"ref_63","doi-asserted-by":"crossref","first-page":"161","DOI":"10.1007\/s00271-006-0047-7","article-title":"Latent heat flux over Cabernet Sauvignon vineyard using the Shuttleworth and Wallace model","volume":"25","author":"Carrasco","year":"2006","journal-title":"Irrig. Sci."},{"key":"ref_64","doi-asserted-by":"crossref","first-page":"299","DOI":"10.1016\/S0304-4238(98)00244-1","article-title":"An indirect method of estimating leaf area index in cordon trained spur pruned grapevines","volume":"80","author":"Patakas","year":"1999","journal-title":"Sci. Hortic."},{"key":"ref_65","doi-asserted-by":"crossref","first-page":"1307","DOI":"10.1016\/j.agrformet.2009.03.001","article-title":"Optimal geometric configuration and algorithms for LAI indirect estimates under row canopies: The case of vineyards","volume":"149","author":"Baret","year":"2009","journal-title":"Agric. For. Meteorol."},{"key":"ref_66","doi-asserted-by":"crossref","first-page":"154","DOI":"10.1016\/j.rse.2014.02.001","article-title":"Landsat-8: Science and product vision for terrestrial global change research","volume":"145","author":"Roy","year":"2014","journal-title":"Remote Sens. Environ."},{"key":"ref_67","doi-asserted-by":"crossref","first-page":"25","DOI":"10.1016\/j.rse.2011.11.026","article-title":"Sentinel-2: ESA\u2019s Optical High-Resolution Mission for GMES Operational Services","volume":"120","author":"Drusch","year":"2012","journal-title":"Remote Sens. Environ."},{"key":"ref_68","doi-asserted-by":"crossref","first-page":"1627","DOI":"10.1021\/ac60214a047","article-title":"Smoothing and Differentiation of Data by Simplified Least Squares Procedures","volume":"36","author":"Savitzky","year":"1964","journal-title":"Anal. Chem."},{"key":"ref_69","doi-asserted-by":"crossref","first-page":"892","DOI":"10.1175\/JHM465.1","article-title":"Effects of Vegetation Clumping on Two\u2013Source Model Estimates of Surface Energy Fluxes from an Agricultural Landscape during SMACEX","volume":"6","author":"Anderson","year":"2005","journal-title":"J. Hydrometeorol."},{"key":"ref_70","doi-asserted-by":"crossref","first-page":"339","DOI":"10.1109\/TGRS.2008.2007125","article-title":"Revision of the Single-Channel Algorithm for Land Surface Temperature Retrieval From Landsat Thermal-Infrared Data","volume":"47","author":"Cristobal","year":"2009","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_71","doi-asserted-by":"crossref","first-page":"1840","DOI":"10.1109\/LGRS.2014.2312032","article-title":"Land Surface Temperature Retrieval Methods From Landsat-8 Thermal Infrared Sensor Data","volume":"11","author":"Sobrino","year":"2014","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"key":"ref_72","doi-asserted-by":"crossref","first-page":"437","DOI":"10.1175\/1520-0477(1996)077<0437:TNYRP>2.0.CO;2","article-title":"The NCEP\/NCAR 40-Year Reanalysis Project","volume":"77","author":"Kalnay","year":"1996","journal-title":"Bull. Am. Meteorol. Soc."},{"key":"ref_73","doi-asserted-by":"crossref","first-page":"18","DOI":"10.1016\/j.rse.2017.06.031","article-title":"Google Earth Engine: Planetary-scale geospatial analysis for everyone","volume":"202","author":"Gorelick","year":"2017","journal-title":"Remote Sens. Environ."},{"key":"ref_74","doi-asserted-by":"crossref","first-page":"715","DOI":"10.1016\/j.rse.2018.07.019","article-title":"Estimation of daily evapotranspiration and irrigation water efficiency at a Landsat-like scale for an arid irrigation area using multi-source remote sensing data","volume":"216","author":"Ma","year":"2018","journal-title":"Remote Sens. Environ."},{"key":"ref_75","doi-asserted-by":"crossref","first-page":"13","DOI":"10.1016\/S0168-1923(99)00005-2","article-title":"Evaluation of soil and vegetation heat flux predictions using a simple two-source model with radiometric temperatures for partial canopy cover","volume":"94","author":"Kustas","year":"1999","journal-title":"Agric. For. Meteorol."},{"key":"ref_76","doi-asserted-by":"crossref","first-page":"105805","DOI":"10.1016\/j.agwat.2019.105805","article-title":"Estimating evapotranspiration using METRIC model and Landsat data for better understandings of regional hydrology in the western Urmia Lake Basin","volume":"226","author":"Tasumi","year":"2019","journal-title":"Agric. Water Manag."},{"key":"ref_77","doi-asserted-by":"crossref","first-page":"178","DOI":"10.1016\/j.rse.2017.05.009","article-title":"A new optimized algorithm for automating endmember pixel selection in the SEBAL and METRIC models","volume":"196","author":"Bhattarai","year":"2017","journal-title":"Remote Sens. Environ."},{"key":"ref_78","doi-asserted-by":"crossref","first-page":"847","DOI":"10.2134\/agronj2000.925847x","article-title":"A Two-Source Energy Balance Approach Using Directional Radiometric Temperature Observations for Sparse Canopy Covered Surfaces","volume":"92","author":"Kustas","year":"2000","journal-title":"Agron. J."},{"key":"ref_79","doi-asserted-by":"crossref","first-page":"389","DOI":"10.1007\/s00271-018-0585-9","article-title":"Evaluation of TSEB turbulent fluxes using different methods for the retrieval of soil and canopy component temperatures from UAV thermal and multispectral imagery","volume":"37","author":"Nieto","year":"2018","journal-title":"Irrig. Sci."},{"key":"ref_80","doi-asserted-by":"crossref","first-page":"263","DOI":"10.1016\/0168-1923(95)02265-Y","article-title":"Source approach for estimating soil and vegetation energy fluxes in observations of directional radiometric surface temperature","volume":"77","author":"Norman","year":"1995","journal-title":"Agric. For. Meteorol."},{"key":"ref_81","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_82","doi-asserted-by":"crossref","first-page":"1618","DOI":"10.1109\/LGRS.2020.2967085","article-title":"Albedo Retrieval From Sentinel-2 by New Narrow-to-Broadband Conversion Coefficients","volume":"17","author":"Bonafoni","year":"2020","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"key":"ref_83","doi-asserted-by":"crossref","first-page":"5397","DOI":"10.1029\/JC074i023p05397","article-title":"Thermal radiation from the atmosphere","volume":"74","author":"Idso","year":"1969","journal-title":"J. Geophys. Res. Space Phys."},{"key":"ref_84","doi-asserted-by":"crossref","first-page":"3729","DOI":"10.3390\/rs5083729","article-title":"Remote Sensing of Soil Moisture in Vineyards Using Airborne and Ground-Based Thermal Inertia Data","volume":"5","author":"Soliman","year":"2013","journal-title":"Remote Sens."},{"key":"ref_85","doi-asserted-by":"crossref","first-page":"1183","DOI":"10.1111\/j.1365-3040.1995.tb00628.x","article-title":"Leaf nitrogen, photosynthesis, conductance and transpiration: Scaling from leaves to canopies","volume":"18","author":"Leuning","year":"1995","journal-title":"Plant Cell Environ."},{"key":"ref_86","doi-asserted-by":"crossref","first-page":"107","DOI":"10.1016\/0168-1923(90)90010-4","article-title":"Stomatal conductance of some grapevines growing in the field under a Mediterranean environment","volume":"51","author":"Winkel","year":"1990","journal-title":"Agric. For. Meteorol."},{"key":"ref_87","first-page":"88","article-title":"Model Validation for Estimating the Leaf Stomatal Conductance in cv. Cabernet Sauvignon Grapevines","volume":"69","author":"Poblete","year":"2009","journal-title":"Chil. J. Agric. Res."},{"key":"ref_88","unstructured":"Green, S., Clothier, B., van den Dijssel, C., Deurer, M., Davidson, P., Ahuja, L.R., Reddy, V.R., Saseendran, S.A., and Yu, Q. (2008). Measuring and modeling the stress response of grapevines to soil-water deficits. Response of Crops to Limited Water: Understanding and Modeling Water Stress Effects on Plant Growth Processes, Advancesinagric, Responseofcrops, American Society of Agronomy, Crop Science Society of America, Soil Science Society of America."},{"key":"ref_89","doi-asserted-by":"crossref","first-page":"184","DOI":"10.1080\/02723646.1981.10642213","article-title":"On the validation of models","volume":"2","author":"Willmott","year":"1981","journal-title":"Phys. Geogr."},{"key":"ref_90","doi-asserted-by":"crossref","unstructured":"De La Fuente-S\u00e1iz, D., Ortega-Far\u00edas, S., Fonseca, D., Ortega-Salazar, S., Kilic, A., and Allen, R.G. (2017). Calibration of METRIC Model to Estimate Energy Balance over a Drip-Irrigated Apple Orchard. Remote Sens., 9.","DOI":"10.3390\/rs9070670"},{"key":"ref_91","first-page":"43","article-title":"Seguimiento de los flujos de calor sensible y calor latente en vid mediante la aplicaci\u00f3n del balance de energ\u00eda METRIC","volume":"43","author":"Carrilero","year":"2015","journal-title":"Rev. Teledetecci\u00f3n"},{"key":"ref_92","doi-asserted-by":"crossref","unstructured":"Gonz\u00e1lez-Dugo, M.P., Gonz\u00e1lez-Piqueras, J., Campos, I., Andr\u00e9u, A., Balbont\u00edn, C., and Calera, A. (2012). Evapotranspiration monitoring in a vineyard using satellite-based thermal remote sensing. Remote Sensing for Agriculture, Ecosystems, and Hydrology XIV, SPIE.","DOI":"10.1117\/12.974731"},{"key":"ref_93","doi-asserted-by":"crossref","unstructured":"Reyes-Gonz\u00e1lez, A., Kjaersgaard, J., Trooien, T., Reta-S\u00e1nchez, D.G., S\u00e1nchez-Duarte, J.I., Preciado-Rangel, P., and Hern\u00e1ndez, M.F. (2019). Comparison of Leaf Area Index, Surface Temperature, and Actual Evapotranspiration Estimated Using the METRIC Model and In Situ Measurements. Sensors, 19.","DOI":"10.3390\/s19081857"},{"key":"ref_94","doi-asserted-by":"crossref","first-page":"3299","DOI":"10.1080\/01431161.2012.716529","article-title":"Evaluating one- and two-source energy balance models in estimating surface evapotranspiration from Landsat-derived surface temperature and field measurements","volume":"34","author":"Tang","year":"2012","journal-title":"Int. J. Remote Sens."},{"key":"ref_95","doi-asserted-by":"crossref","first-page":"281","DOI":"10.1016\/j.rse.2014.11.003","article-title":"Remote sensing of evapotranspiration over cotton using the TSEB and METRIC energy balance models","volume":"158","author":"French","year":"2015","journal-title":"Remote Sens. Environ."},{"key":"ref_96","doi-asserted-by":"crossref","first-page":"198","DOI":"10.1016\/j.rse.2016.07.011","article-title":"Sensitivity of evapotranspiration retrievals from the METRIC processing algorithm to improved radiometric resolution of Landsat 8 thermal data and to calibration bias in Landsat 7 and 8 surface temperature","volume":"185","author":"Kilic","year":"2016","journal-title":"Remote Sens. Environ."},{"key":"ref_97","doi-asserted-by":"crossref","first-page":"1809","DOI":"10.1175\/JHM-D-16-0122.1","article-title":"Vineyard Energy Partitioning Between Canopy and Soil Surface: Dynamics and Biophysical Controls","volume":"18","author":"Zhao","year":"2017","journal-title":"J. Hydrometeorol."},{"key":"ref_98","doi-asserted-by":"crossref","first-page":"2067","DOI":"10.1016\/j.jhydrol.2014.09.075","article-title":"Evapotranspiration and crop coefficients for a super intensive olive orchard. An application of SIMDualKc and METRIC models using ground and satellite observations","volume":"519","author":"Cunha","year":"2014","journal-title":"J. Hydrol."},{"key":"ref_99","doi-asserted-by":"crossref","first-page":"375","DOI":"10.1007\/s00271-018-0586-8","article-title":"Utility of the two-source energy balance (TSEB) model in vine and interrow flux partitioning over the growing season","volume":"37","author":"Kustas","year":"2018","journal-title":"Irrig. Sci."},{"key":"ref_100","doi-asserted-by":"crossref","unstructured":"Dold, C., Heitman, J., Giese, G., Howard, A., Havlin, J., and Sauer, T. (2019). Upscaling Evapotranspiration with Parsimonious Models in a North Carolina Vineyard. Agronomy, 9.","DOI":"10.3390\/agronomy9030152"},{"key":"ref_101","doi-asserted-by":"crossref","first-page":"45","DOI":"10.1016\/j.agwat.2010.07.011","article-title":"Assessing satellite-based basal crop coefficients for irrigated grapes (Vitis vinifera L.)","volume":"98","author":"Campos","year":"2010","journal-title":"Agric. Water Manag."},{"key":"ref_102","doi-asserted-by":"crossref","unstructured":"Balbont\u00edn, C., Campos, I., Odi-Lara, M., Ibacache, A., and Calera, A. (2017). Irrigation Performance Assessment in Table Grape Using the Reflectance-Based Crop Coefficient. Remote Sens., 9.","DOI":"10.3390\/rs9121276"},{"key":"ref_103","doi-asserted-by":"crossref","first-page":"94","DOI":"10.1061\/(ASCE)0733-9437(2005)131:1(94)","article-title":"Satellite-Based Energy Balance to Assess Within-Population Variance of Crop Coefficient Curves","volume":"131","author":"Tasumi","year":"2005","journal-title":"J. Irrig. Drain. Eng."},{"key":"ref_104","doi-asserted-by":"crossref","first-page":"419","DOI":"10.1007\/s00271-012-0351-3","article-title":"Effects of canopy size and water stress over the crop coefficient of a \u201cTempranillo\u201d vineyard in south-western Spain","volume":"30","author":"Uriarte","year":"2012","journal-title":"Irrig. Sci."},{"key":"ref_105","doi-asserted-by":"crossref","first-page":"196","DOI":"10.1016\/j.agwat.2019.02.017","article-title":"Applying high-resolution visible-channel aerial imaging of crop canopy to precision irrigation management","volume":"216","author":"Chen","year":"2019","journal-title":"Agric. Water Manag."},{"key":"ref_106","doi-asserted-by":"crossref","unstructured":"Khaliq, A., Comba, L., Biglia, A., Aimonino, D.R., Chiaberge, M., and Gay, P. (2019). Comparison of Satellite and UAV-Based Multispectral Imagery for Vineyard Variability Assessment. 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