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

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 devel...

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Autores principales: Corbari, Chiara, Ravazzani, Giovanni, Galvagno, Marta, Cremonese, Edoardo, Mancini, Marco
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5713072/
https://www.ncbi.nlm.nih.gov/pubmed/29156568
http://dx.doi.org/10.3390/s17112664
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author Corbari, Chiara
Ravazzani, Giovanni
Galvagno, Marta
Cremonese, Edoardo
Mancini, Marco
author_facet Corbari, Chiara
Ravazzani, Giovanni
Galvagno, Marta
Cremonese, Edoardo
Mancini, Marco
author_sort Corbari, Chiara
collection PubMed
description 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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spelling pubmed-57130722017-12-07 Assessing Crop Coefficients for Natural Vegetated Areas Using Satellite Data and Eddy Covariance Stations Corbari, Chiara Ravazzani, Giovanni Galvagno, Marta Cremonese, Edoardo Mancini, Marco Sensors (Basel) Article 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. MDPI 2017-11-18 /pmc/articles/PMC5713072/ /pubmed/29156568 http://dx.doi.org/10.3390/s17112664 Text en © 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/).
spellingShingle Article
Corbari, Chiara
Ravazzani, Giovanni
Galvagno, Marta
Cremonese, Edoardo
Mancini, Marco
Assessing Crop Coefficients for Natural Vegetated Areas Using Satellite Data and Eddy Covariance Stations
title Assessing Crop Coefficients for Natural Vegetated Areas Using Satellite Data and Eddy Covariance Stations
title_full Assessing Crop Coefficients for Natural Vegetated Areas Using Satellite Data and Eddy Covariance Stations
title_fullStr Assessing Crop Coefficients for Natural Vegetated Areas Using Satellite Data and Eddy Covariance Stations
title_full_unstemmed Assessing Crop Coefficients for Natural Vegetated Areas Using Satellite Data and Eddy Covariance Stations
title_short Assessing Crop Coefficients for Natural Vegetated Areas Using Satellite Data and Eddy Covariance Stations
title_sort assessing crop coefficients for natural vegetated areas using satellite data and eddy covariance stations
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5713072/
https://www.ncbi.nlm.nih.gov/pubmed/29156568
http://dx.doi.org/10.3390/s17112664
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