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Ain Shams University (2016)

EVAPOTRANSPIRATION ESTIMATION USING REMOTE SENSING DATA AND SOME CLIMATIC MODELS

ABDEL KADER,MOHAMED HOSNY HASSAN.

Titre : EVAPOTRANSPIRATION ESTIMATION USING REMOTE SENSING DATA AND SOME CLIMATIC MODELS

Auteur : ABDEL KADER,MOHAMED HOSNY HASSAN.

Etablissement de soutenance : Ain Shams University

Grade : Master of Science (MSc) in Agricultural Science 2016

Résumé partiel
Satellite remote sensing is one of the promising sources of data to estimate the regional evapotranspiration based on the energy balance system. This study aims to assess the estimated values of evapotranspiration using the surface energy balance system (SEBS model) and four climatic models widely used including Penman-Monteith (FAO 56, PM), Penman (FAO 24, P), radiation (R), and HargreavesSamani (HS). Remote sensing model (SEBS) was used to estimate daily actual evapotranspiration values for wheat, sugarbeet, green onions, and potato winter crops as well as peanut and fodder maize summer crops, and citrus perennial crop using seventeen Landsat 7 ETM+ satellite images and the agrometeorological data representing the 2012/2013 winter and 2013 summer seasons. The selected site represents a private farm (6th October agricultural company) located in Ismailia governorate (31.92 and 32.62 E longitudes and 30.38 and 30.52 N latitudes). Results revealed that, there were clear differences between the estimated Eto values using the tested PM, R, P and HS climatic models. Average Eto values were 8.2, 6.0, 5.5, and 5.2 mm/day for PM, R, P, and HS methods, respectively. Relationships between Eto values estimated by FAO56 PM and the P, R, and HS methods were developed using the regression analysis. High coefficient of determination values indicate that the developed equations can be used within the range of the examined values to describe the relationship between Eto estimated by the four climatic methods.

Présentation étendue (EULC)

Page publiée le 19 février 2019