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Estimation of actual evapotranspiration by remote sensing: Application in Thessaly plain, Greece

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dc.contributor.author Tsouni, A en
dc.contributor.author Kontoes, C en
dc.contributor.author Koutsoyiannis, D en
dc.contributor.author Elias, P en
dc.contributor.author Mamassis, N en
dc.date.accessioned 2014-03-01T01:28:17Z
dc.date.available 2014-03-01T01:28:17Z
dc.date.issued 2008 en
dc.identifier.issn 1424-8220 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/18799
dc.subject Actual evapotranspiration en
dc.subject Carlson-Buffum en
dc.subject FAO Penman-Monteith en
dc.subject Granger en
dc.subject NOAA-AVHRR images en
dc.subject Remote sensing en
dc.subject.classification Chemistry, Analytical en
dc.subject.classification Electrochemistry en
dc.subject.classification Instruments & Instrumentation en
dc.subject.other SURFACE-TEMPERATURE MEASUREMENTS en
dc.subject.other THERMAL IR DATA en
dc.subject.other AVHRR DATA en
dc.subject.other ALGORITHM en
dc.title Estimation of actual evapotranspiration by remote sensing: Application in Thessaly plain, Greece en
heal.type journalArticle en
heal.identifier.primary 10.3390/s8063586 en
heal.identifier.secondary http://dx.doi.org/10.3390/s8063586 en
heal.language English en
heal.publicationDate 2008 en
heal.abstract Remote sensing can assist in improving the estimation of the geographical distribution of evapotranspiration, and consequently water demand in large cultivated areas for irrigation purposes and sustainable water resources management. In the direction of these objectives, the daily actual evapotranspiration was calculated in this study during the summer season of 2001 over the Thessaly plain in Greece, a wide irrigated area of great agricultural importance. Three different methods were adapted and applied: the remote-sensing methods by Granger (2000) and Carlson and Buffum (1989) that use satellite data in conjunction with ground meteorological measurements and an adapted FAO (Food and Agriculture Organisation) Penman-Monteith method (Allen at al. 1998), which was selected to be the reference method. The satellite data were used in conjunction with ground data collected on the three closest meteorological stations. All three methods, exploit visible channels 1 and 2 and infrared channels 4 and 5 of NOAA-AVHRR (National Oceanic and Atmospheric Administration - Advanced Very High Resolution Radiometer) sensor images to calculate albedo and NDVI (Normalised Difference Vegetation Index), as well as surface temperatures. The FAO Penman-Monteith and the Granger method have used exclusively NOAA-15 satellite images to obtain mean surface temperatures. For the Carlson-Buffum method a combination of NOAA-14 and NOAA-15 satellite images was used, since the average rate of surface temperature rise during the morning was required. The resulting estimations show that both the Carlson-Buffum and Granger methods follow in general the variations of the reference FAO Penman-Monteith method. Both methods have potential for estimating the spatial distribution of evapotranspiration, whereby the degree of the relative agreement with the reference FAO Penman-Monteith method depends on the crop growth stage. In particular, the Carlson-Buffum method performed better during the first half of the crop development stage, while the Granger method performed better during the remaining of the development stage and the entire maturing stage. The parameter that influences the estimations significantly is the wind speed whose high values result in high underestimates of evapotranspiration. Thus, it should be studied further in future. en
heal.publisher MOLECULAR DIVERSITY PRESERVATION INT en
heal.journalName Sensors en
dc.identifier.doi 10.3390/s8063586 en
dc.identifier.isi ISI:000257248900001 en
dc.identifier.volume 8 en
dc.identifier.issue 6 en
dc.identifier.spage 3586 en
dc.identifier.epage 3600 en


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