{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,15]],"date-time":"2025-10-15T17:45:02Z","timestamp":1760550302312,"version":"build-2065373602"},"reference-count":70,"publisher":"MDPI AG","issue":"6","license":[{"start":{"date-parts":[[2017,6,16]],"date-time":"2017-06-16T00:00:00Z","timestamp":1497571200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>This work discusses an operational method for actual evapotranspiration (ET) retrieval from remote sensing, considering a minimum quantity of ancillary data. The method consists in a graphical approach based on the Priestley-Taylor (PT) equation, where the dry soil and non-limiting water conditions are defined by land surface temperature (LST) and vegetation index (VI) space, both retrieved from remote sensing. Using ET tower flux measurements and Landsat 5 TM images of an irrigation scheme in southeast Spain, a sensitivity analysis of ET spatial distribution was performed for the period 2009\u20132011 with respect to: (i) the shape (trapezoidal or rectangular) of the LST-VI space; and (ii) the value of the PT coefficient, \u03b1. The results from ground truth validation were satisfactory, both shapes providing similar performances in estimating ET, with root mean square error ~30 W\/m2 and relative difference ~10% with respect to tower-based measurements. Importantly, the best fit with ground data was found for \u03b1 close to 1, a somewhat different value from the commonly used value of 1.27, indicating that substantial error might arise when using the latter value. Overall, our study underlines the importance of a more precise knowledge of the actual value of \u03b1 coefficient when using ET retrieval methods based on the LST-VI space.<\/jats:p>","DOI":"10.3390\/rs9060611","type":"journal-article","created":{"date-parts":[[2017,6,16]],"date-time":"2017-06-16T10:06:31Z","timestamp":1497607591000},"page":"611","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":12,"title":["Satellite-Based Method for Estimating the Spatial Distribution of Crop Evapotranspiration: Sensitivity to the Priestley-Taylor Coefficient"],"prefix":"10.3390","volume":"9","author":[{"given":"Jos\u00e9","family":"Mart\u00ednez P\u00e9rez","sequence":"first","affiliation":[{"name":"Department of Civil Engineering, Universidad Polit\u00e9cnica de Cartagena, Paseo Alfonso XIII, 52, 30203 Cartagena, Spain"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3557-3266","authenticated-orcid":false,"given":"Sandra","family":"Garc\u00eda-Galiano","sequence":"additional","affiliation":[{"name":"Department of Civil Engineering, Universidad Polit\u00e9cnica de Cartagena, Paseo Alfonso XIII, 52, 30203 Cartagena, Spain"}]},{"given":"Bernardo","family":"Martin-Gorriz","sequence":"additional","affiliation":[{"name":"Department of Food Engineering and Agricultural Equipment, Universidad Polit\u00e9cnica de Cartagena, P. Alfonso XIII, 48, 30203 Cartagena, Spain"}]},{"given":"Alain","family":"Baille","sequence":"additional","affiliation":[{"name":"Department of Food Engineering and Agricultural Equipment, Universidad Polit\u00e9cnica de Cartagena, P. Alfonso XIII, 48, 30203 Cartagena, Spain"}]}],"member":"1968","published-online":{"date-parts":[[2017,6,16]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.compag.2004.10.004","article-title":"Applications of apparent soil electrical conductivity in precision agriculture","volume":"46","author":"Corwin","year":"2005","journal-title":"Comput. Electron. Agric."},{"key":"ref_2","unstructured":"Hetzroni, A., Peters, A., and Ben-Gal, A. (2012, January 8\u201312). Towards precision management of orchards: Using automated monitoring to build a GIS-based spatial decision support system. 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