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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2017
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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. |
format | Online Article Text |
id | pubmed-5713072 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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