Estimation of olive evapotranspiration using multispectral and thermal sensors placed aboard an unmanned aerial vehicle

S. Ortega-Farías, S. Ortega-Salazar, T. Poblete, C. Poblete-Echeverría, M. Zúñiga, D. Sepúlveda-Reyes, A. Kilic, R. Allen

Research output: Chapter in Book/Report/Conference proceedingChapter

4 Scopus citations

Abstract

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 dripirrigated 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.

Original languageEnglish (US)
Title of host publication8th International Symposium on Irrigation of Horticultural Crops
EditorsJ. Girona, J. Marsal
PublisherInternational Society for Horticultural Science
Pages1-8
Number of pages8
ISBN (Electronic)9789462611450
DOIs
StatePublished - Jan 25 2017

Publication series

NameActa Horticulturae
Volume1150
ISSN (Print)0567-7572

Keywords

  • Energy balance
  • Evapotranspiration
  • Latent heat flux
  • Olive orchard

ASJC Scopus subject areas

  • Horticulture

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