Search In this Thesis
   Search In this Thesis  
العنوان
EVAPOTRANSPIRATION ESTIMATION USING
REMOTE SENSING DATA AND SOME
CLIMATIC MODELS /
المؤلف
ABDEL KADER,MOHAMED HOSNY HASSAN.
هيئة الاعداد
باحث / MOHAMED HOSNY HASSAN ABDEL KADER
مشرف / Ahmed Abdelfatah Ibrahem
مشرف / Abdelaziz Saad Nasr Sheta
مشرف / Hamdy El-Houssainy Khalifa
تاريخ النشر
2016
عدد الصفحات
145p.:
اللغة
الإنجليزية
الدرجة
ماجستير
التخصص
العلوم الزراعية والبيولوجية
تاريخ الإجازة
1/1/2016
مكان الإجازة
جامعة عين شمس - كلية الزراعة - اراضى
الفهرس
Only 14 pages are availabe for public view

from 32

from 32

Abstract

Mohamed Hosny Hassan Abdel Kader: Evapotranspiration
Estimation Using Remote Sensing Data and some Climatic Models.
Unpublished M.Sc Thesis, Department of Soil Science, Faculty of
Agriculture, Ain Shams University, 2016.
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.
Results indicated also that, there were differences between the
estimated Eta values using the tested climatic models. Average Eta values
were 7.7, 6.0, 5.4, and 4.5 mm/day for PM, R, P, and HS methods,
respectively. The Eta values estimated by SEBS, P, R, and HS methods
were lower than those estimated by PM method. Estimated Eta values
using SEBS model were generally low as compared with those estimated
by the tested climatic models. The seasonal actual evapotranspiration
values for the studied winter crops using SEBS, PM, P, R, and HS
methods were 384, 574, 382, 450, and 329 mm/season for wheat, 450,
758, 537, 594, and 482mm/season for sugarbeet 164, 256, 16, 207, and
135 mm/season for potato crop, and 306, 614, 414, 508 and 360
mm/season for green onion crop, respectively. For the summer season, the
Eta values obtained from the same respective methods were 405, 1099,
722, 880, and 876 mm/season for peanut crop, 429, 1086, 703, 874, and
826 mm/season for fodder maize crop, and 878, 1496, 987, 1208, and
1077 mm/season for citrus crop. The substantial differences between
actual evapotranspiration Eta values for the same crop using the different
climatic models, revealed the essential need to get accurate crop
coefficients under field conditions.
Results showed that, the estimated applied irrigation water by PM,
P, R, HS, and SEBS methods and added at the farm were 4019,
2677,3149, 2302, 2688, and 3024 m3/fed, respectively for wheat crop,
5303, 3758, 4156, 3372, 3150, and 4234 m3/fed for sugarbeet crop, 1792,
1232, 1451, 948, 1148, and 3528 m3/fed for potato crop, 4300, 2899,
3557, 2522, 2142, and 3750 m3/fed for green onion, 7603, 4924, 6119,
5783, 3000, and 3000 m3/fed for fodder maize crop, 7695, 5055, 6158,
6131, 2836, and 3200 m3/fed for peanut crop, and 8269, 5457, 6677,
5953, 4854 and 6912 m3/fed citrus crop.
Results indicate that, the remote sensing model (SEBS) needs
more verification and validation studies to evaluate all the factors that
might affect the quality of data used for calculating the surface energy
balance under arid lands condition.
In conclusion, more studies, in several successive seasons for
various crops, are recommended before using the SEBS model for
estimating the actual evapotranspiration at the field level and
consequently in the actual crop coefficient values.