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Estimation of olive evapotranspiration using multispectral and thermal sensors placed aboard an unmanned aerial vehicle
- Ortega-Farias, S., Ortega-Salazar, S., Poblete, T., Poblete-Echeverria, C., Zuniga, M., Sepulveda-Reyes, D., Kilic, A., Allen, R.
- Acta horticulturae 2017 no.1150 pp. 1-8
- algorithms, altitude, canopy, eddy covariance, energy balance, evapotranspiration, field experimentation, heat transfer, microirrigation, olives, orchards, remote sensing, soil, spatial data, unmanned aerial vehicles, wind speed, Chile
- A field experiment was carried out to develop a remote sensing energy balance (RSEB) algorithm for estimating olive evapotranspiration (ET) using multispectral and thermal sensors placed aboard an unmanned aerial vehicle (UAV). During February and March 2014, measurements of micrometeorological variables, surface energy balance components and remote sensing data were obtained from a drip-irrigated olive orchard located in the Pencahue Valley, Maule Region, Chile (35°25' L.S; 71°44' L.W; 90 m a.s.l.). The performance of the RSEB algorithm was evaluated using measurements of ET obtained from an eddy correlation system. Results indicated that RSEB algorithm overestimated ET by about 13% with a root mean squared error (RMSE) and mean absolute error (MAE) of 0.43 and 0.29 mm d-1, respectively. Major errors were associated with the estimation of sensible heat flux from the canopy and soil, especially when the wind speed was greater than 2.5 m s-1.