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      Assessing Crop Coefficients for Natural Vegetated Areas Using Satellite Data and Eddy Covariance Stations

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          Abstract

          The Food and Agricultural Organization (FAO) method for potential evapotranspiration assessment is based on the crop coefficient, which allows one to relate the reference evapotranspiration of well irrigated grass to the potential evapotranspiration of specific crops. The method was originally developed for cultivated species based on lysimeter measurements of potential evapotranspiration. Not many applications to natural vegetated areas exist due to the lack of available data for these species. In this paper we investigate the potential of using evapotranspiration measurements acquired by micrometeorological stations for the definition of crop coefficient functions of natural vegetated areas and extrapolation to ungauged sites through remotely sensed data. Pastures, deciduous and evergreen forests have been considered and lower crop coefficient values are found with respect to FAO data.

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          Most cited references49

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          FLUXNET: A New Tool to Study the Temporal and Spatial Variability of Ecosystem–Scale Carbon Dioxide, Water Vapor, and Energy Flux Densities

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            The Interpretation of the Variations in Leaf Water Potential and Stomatal Conductance Found in Canopies in the Field

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              Reference Crop Evapotranspiration from Temperature

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                Author and article information

                Journal
                Sensors (Basel)
                Sensors (Basel)
                sensors
                Sensors (Basel, Switzerland)
                MDPI
                1424-8220
                18 November 2017
                November 2017
                : 17
                : 11
                : 2664
                Affiliations
                [1 ]Department of Civil and Environmental Engineering, Politecnico di Milano, Piazza Leonardo da Vinci, 32, 20133 Milan, Italy; giovanni.ravazzani@ 123456polimi.it (G.R.); marco.mancini@ 123456polimi.it (M.M.)
                [2 ]Environmental Protection Agency of Aosta Valley, Climate Change Unit, 11100 Aosta, Italy; m.galvagno@ 123456arpa.vda.it (M.G.); e.cremonese@ 123456arpa.vda.it (E.C.)
                Author notes
                [* ]Correspondence: chiara.corbari@ 123456polimi.it ; Tel.: +39-02-2399-6231
                Author information
                https://orcid.org/0000-0002-6850-0883
                Article
                sensors-17-02664
                10.3390/s17112664
                5713072
                29156568
                c8349266-63a0-46c8-9add-309ca9be9c7a
                © 2017 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 30 September 2017
                : 09 November 2017
                Categories
                Article

                Biomedical engineering
                crop coefficient,natural vegetated area,satellite data,eddy covariance stations

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