Estimation of evaporative fraction and evapotranspiration from remotely sensed data using a complementary relationship
Fil: Venturini, Virginia. Universidad Nacional del Litoral. Facultad de Ingeniería y Ciencias Hídricas; Argentina.
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| Formato: | Tesis |
| Lenguaje: | English English |
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2007
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| Acceso en línea: | http://hdl.handle.net/11185/24 |
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oai:bibliotecavirtual.unl.edu.ar-handle:11185-24 |
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dspace |
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Universidad Nacional del Litoral |
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Biblioteca de tesis |
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English English |
| topic |
Evaporation Evapotranspiration Evaporative fraction Complementary relationship Remote sensing MODIS Evapotranspiración Fracción evaporable Teleobservación Sensoramiento remoto MODIS Relaciones complementarias |
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Evaporation Evapotranspiration Evaporative fraction Complementary relationship Remote sensing MODIS Evapotranspiración Fracción evaporable Teleobservación Sensoramiento remoto MODIS Relaciones complementarias Venturini, Virginia Estimation of evaporative fraction and evapotranspiration from remotely sensed data using a complementary relationship |
| description |
Fil: Venturini, Virginia. Universidad Nacional del Litoral. Facultad de Ingeniería y Ciencias Hídricas; Argentina. |
| author2 |
Rodríguez, Leticia Beatriz |
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Rodríguez, Leticia Beatriz Venturini, Virginia |
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Thesis |
| author |
Venturini, Virginia |
| author_sort |
Venturini, Virginia |
| title |
Estimation of evaporative fraction and evapotranspiration from remotely sensed data using a complementary relationship |
| title_short |
Estimation of evaporative fraction and evapotranspiration from remotely sensed data using a complementary relationship |
| title_full |
Estimation of evaporative fraction and evapotranspiration from remotely sensed data using a complementary relationship |
| title_fullStr |
Estimation of evaporative fraction and evapotranspiration from remotely sensed data using a complementary relationship |
| title_full_unstemmed |
Estimation of evaporative fraction and evapotranspiration from remotely sensed data using a complementary relationship |
| title_sort |
estimation of evaporative fraction and evapotranspiration from remotely sensed data using a complementary relationship |
| publishDate |
2007 |
| url |
http://hdl.handle.net/11185/24 |
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1728547855987113984 |
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oai:bibliotecavirtual.unl.edu.ar-handle:11185-242022-03-23T16:50:33Z Estimation of evaporative fraction and evapotranspiration from remotely sensed data using a complementary relationship Estimación de la fracción evaporable y evapotranspiración mediante una nueva relación complementaria e imágenes satelitales Venturini, Virginia Rodríguez, Leticia Beatriz Rivas, Raúl Eduardo Krepper, Carlos María Huete, Alfredo Ramón Gandini, Marcelo Islam, Shafiqul Evaporation Evapotranspiration Evaporative fraction Complementary relationship Remote sensing MODIS Evapotranspiración Fracción evaporable Teleobservación Sensoramiento remoto MODIS Relaciones complementarias Fil: Venturini, Virginia. Universidad Nacional del Litoral. Facultad de Ingeniería y Ciencias Hídricas; Argentina. Fil: Venturini, Virginia. Universidad Nacional del Litoral. Facultad de Ingeniería y Ciencias Hídricas; Argentina. A new formulation to derive evaporative fraction (EF) and evapotranspiration (ET) maps from remotely sensed data without auxiliary relationships or site-specific relationships is presented. This formulation is based on Granger’s complementary relationship and Priestley-Taylor’s equation. The proposed model eliminates the wind function and resistance parameters commonly applied to some calculations by including a relative evaporation parameter (ET/Epot). By combining this relative evaporation parameter, Granger’s complementary relationship and Priestley and Taylor equation, a simple equation to estimate ET is obtained. The proposed formulation was tested and validated over the Southern Great Plains (SGP) region of the United States for seven clear sky days during March-October 2003. MODIS Atmospheric and Land products were the only source of data used in this study. Estimates of ET show an overall root mean square error and bias of 33.89 and -10.96 Wm-2, respectively. These results suggest that the proposed approach is robust and valid for a wide range of atmospheric and surface conditions, during clear days. An uncertainty analysis was performed to quantify model errors and uncertainties due to measurement errors in the involved variables. These results showed that common errors in temperature estimates would result in an error of about 10% in ET. A contrast and comparison between modified Priestley and Taylor’s equations shows that the proposed method seems to consider a set of atmospheric and surface variables that leads to ET estimates with errors lower than 20% of the mean ET, without forfeiting the simple form of Priestley and Taylor’s equation. La fracción evaporable (FE), y más específicamente la evapotranspiración (ET), representa una pérdida de agua muy importante en el balance hídrico. Por este motivo es necesario contar con metodologías simples pero sólidas para su estimación, que requieran pocos datos distribuidos espacialmente y que arrojen resultados confiables. En este trabajo se presenta una nueva metodología para obtener mapas de FE y de ET a partir de los productos derivados del sensor MODIS, sin necesidad de calibración local. Este método está basado en la relación complementaria propuesta por Granger, la ecuación de Priestley-Taylor y el concepto de evaporación relativa. El resultado de combinar estas tres ecuaciones es una ecuación simple para calcular ET sin los parámetros de resistencia comúnmente utilizados para estimar ET. Los valores de ET obtenidos con el método propuesto han sido validados en la región denominada Southern Great Plains (SGP) de los Estados Unidos de Norteamérica, para siete días despejados durante marzo-abril de 2003. Los resultados sugieren que esta nueva formulación es sólida y valida, no sólo con mapas de temperatura de superficie, sino también con mapas de temperatura de brillo obtenidos con un solo canal térmico. Universidad Nacional del Litoral National Science Foundation 2007-11-19 2007-11-19 2007-09-24 info:eu-repo/semantics/doctoralThesis info:ar-repo/semantics/tesis doctoral SNRD info:eu-repo/semantics/acceptedVersion Thesis http://hdl.handle.net/11185/24 eng eng info:eu-repo/semantics/openAccess Atribución-NoComercial-SinDerivadas 4.0 Internacional (CC BY-NC-ND 4.0) http://creativecommons.org/licenses/by-nc-nd/4.0/deed.es application/pdf application/pdf |
| score |
11.8626 |