This works presents the results from the application of four different remote sensing‐based evapotranspiration models to an agricultural area of Castilla‐La Mancha, Spain. The models that were analyzed are: (1) the Kc‐NDVI approach, (2) the Kc‐analytical method, (3) the Multi Scale Surface Energy Balance System, MSSEBS, and (4) the Mapping Evapotranspiration at High Resolution and with Internalized Calibration, METRIC, procedure. Models (1) and (2) provide daily maps of crop water requirements, and do not require the use of a thermal image. Whereas models (3) and (4) are surface energy balance models that supply instantaneous and daily calculations of actual evapotranspiration, and require a thermal image in addition to short wave images. A Landsat 5 image of the studied area for July 15, 2003 was used to derive the various products, together with weather and ground vegetation data. The comparison between models was performed in terms of crop coefficients and demonstrated the agreement between methods according to theory. Quantitative description of the differences between models for land uses of the area is provided. This research illustrates the potential of these approaches for routine and operational estimation of water demand and water consumption on a daily scale.
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23 August 2006
EARTH OBSERVATION FOR VEGETATION MONITORING AND WATER MANAGEMENT
10-11 November 2005
Naples (Italy)
Research Article|
August 23 2006
Golden Day Comparison of Methods to Retrieve ET (Kc‐NDVI, Kc‐analytical, MSSEBS, METRIC)
E. Rubio;
E. Rubio
1Instituto de Desarrollo Regional, Universidad de Castilla‐La Mancha, 02071 Albacete, Spain
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J. Colin;
J. Colin
2Laboratoire des Sciences de l’Image, de l’Informatique et de la Télédétection, Université Louis Pasteur, France
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G. D’Urso;
G. D’Urso
3Dept. Agricultural Engineering and Agronomy, University of Naples Federico II, Portici, Italy
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R. Trezza;
R. Trezza
4University of Idaho, Research and Extension Center, 3793 N. 3600 E., Kimberly, Idaho 83341
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R. Allen;
R. Allen
4University of Idaho, Research and Extension Center, 3793 N. 3600 E., Kimberly, Idaho 83341
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A. Calera;
A. Calera
1Instituto de Desarrollo Regional, Universidad de Castilla‐La Mancha, 02071 Albacete, Spain
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J. González;
J. González
1Instituto de Desarrollo Regional, Universidad de Castilla‐La Mancha, 02071 Albacete, Spain
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A. Jochum;
A. Jochum
1Instituto de Desarrollo Regional, Universidad de Castilla‐La Mancha, 02071 Albacete, Spain
5ALFAclima Asesoramiento Medioambiental, Albacete, Spain
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M. Menenti;
M. Menenti
2Laboratoire des Sciences de l’Image, de l’Informatique et de la Télédétection, Université Louis Pasteur, France
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M. Tasumi;
M. Tasumi
4University of Idaho, Research and Extension Center, 3793 N. 3600 E., Kimberly, Idaho 83341
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C. Kelly;
C. Kelly
4University of Idaho, Research and Extension Center, 3793 N. 3600 E., Kimberly, Idaho 83341
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F. Vuolo
F. Vuolo
3Dept. Agricultural Engineering and Agronomy, University of Naples Federico II, Portici, Italy
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AIP Conf. Proc. 852, 193–200 (2006)
Citation
E. Rubio, J. Colin, G. D’Urso, R. Trezza, R. Allen, A. Calera, J. González, A. Jochum, M. Menenti, M. Tasumi, C. Kelly, F. Vuolo; Golden Day Comparison of Methods to Retrieve ET (Kc‐NDVI, Kc‐analytical, MSSEBS, METRIC). AIP Conf. Proc. 23 August 2006; 852 (1): 193–200. https://doi.org/10.1063/1.2349344
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