TITLE:
Wheat Yield Response to Water Deficit under Central Pivot Irrigation System Using Remote Sensing Techniques
AUTHORS:
M. A. El-Shirbeny, A. M. Ali, A. Rashash, M. A. Badr
KEYWORDS:
Normalized Difference Vegetation Index (NDVI), Land Surface Temperature (LST), Water Deficit Index (WDI), Yield Response Factor (ky), Arid Region and Egypt
JOURNAL NAME:
World Journal of Engineering and Technology,
Vol.3 No.3B,
August
25,
2015
ABSTRACT:
Scarcity of rainfall and limited irrigation
water resources is the main challenge for agricultural expanding policies and
strategies. At the same time, there is a high concern to increase the area of
wheat cultivation in order to meet the increasing local consumption. The big
challenge is to incerese wheat production using same or less amount of
irrigation water. In this trend, the study was carried out to analyze the
sensitivity of wheat yield to water deficit using remotely sensed data in
El-Salhia agricultural project which located in the eastern part of Nile delta.
Normalized Difference Vegetation Index (NDVI) and Land Surface Temperature
(LST) were extracted from Landsat 7. Water Deficit Index (WDI) used both LST
minus air temperature (Tair) and vegetation index to estimate the relative
water status. Yield response factor (ky) was derived from relationship between
relative yield decrease and relative evapotranspiration deficit. The relative
Evapotranspiration deficit was replaced by WDI. Linear regression was found
between predicted wheat yield and actual wheat yield with 0.2?6, 0.025, 0.252
and 0.76 as correlation coefficient on 30th of Dec. 2012, 15th of Jan. 2013, 16th
of Feb. 2013 and 20th of Mar. 2013 respectively. The main objective of this
study is using a combination between FAO 33 paper approach and remote sensing
techniques to estimate wheat yield response to water.