Crop Evapotranspiration Estimations of Red Pepper Using Field Level Remote Sensing Data and Energy Balance

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Köksal E. S., Artik C., Tasan M.

POLISH JOURNAL OF ENVIRONMENTAL STUDIES, vol.28, no.1, pp.165-175, 2019 (SCI-Expanded) identifier identifier identifier

  • Publication Type: Article / Article
  • Volume: 28 Issue: 1
  • Publication Date: 2019
  • Doi Number: 10.15244/pjoes/85351
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.165-175
  • Keywords: energy balance, irrigation management, water stress, spectral reflectance, surface temperature, WATER-STRESS INDEX, MAPPING EVAPOTRANSPIRATION, PRIESTLEY-TAYLOR, EDDY-COVARIANCE, MODEL, ALGORITHM, FLUXES, BASIN
  • Ondokuz Mayıs University Affiliated: Yes


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.