ORIGINAL RESEARCH
Crop Evapotranspiration Estimations of Red Pepper Using Field Level Remote Sensing Data and Energy Balance
Eyup Selim Koksal 1  
,  
Cengiz Artik 2  
,  
Mehmet Tasan 2  
 
 
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1
Ondokuz Mayıs University, Faculty of Agriculture, Department of Agricultural Structures and Irrigation, Kurupelit, Samsun, Turkey
2
Black Sea Agricultural Research Institute, Samsun, Turkey
CORRESPONDING AUTHOR
Eyup Selim Koksal   

Ondokuz Mayis University, Faculty of Agriculture, Department of Agrciultural Structures and Irrigation, 550135 Samsun, Turkey
Online publish date: 2018-08-13
Publish date: 2018-11-20
Submission date: 2018-01-17
Final revision date: 2018-02-15
Acceptance date: 2018-02-15
 
Pol. J. Environ. Stud. 2019;28(1):165–175
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ABSTRACT
In this study, the energy balance approach was used to estimate evapotranspiration (ET) of red pepper plots managed with four different irrigation strategies (100, 70, and 40% of ET, and rainfed) with drip irrigation systems in the sub-humid Bafra Plains located in northern Turkey. In order to calculate components of energy balance, hyper-spectral reflectance, infrared surface temperature, and net radiation data were measured using nadir-looking hand-held proximal sensing devices over the experimental plots. Additionally, soil moisture levels were monitored frequently with a well-calibrated neutron moisture meter and a soil water budget approach was used to calculate actual ET values. Current findings revealed that the response of red pepper crops to water stress offered a significant opportunity to detect different levels of spectral reflectance, surface temperature, and net radiation. Furthermore, statistical comparisons revealed significant relationships between measured and estimated daily ET (r = 0.92 and RMSE = 0.83) and cumulative ET (r = 0.99 and RMSE = 43.98) values. Estimation errors for daily and cumulative ET using the energy balance algorithm were 27% and 14%, respectively. Overall, present results indicated that the energy balance algorithm with field level remotely sensed data had a great potential to estimate ET of red peppers at plot scale.
eISSN:2083-5906
ISSN:1230-1485