Evapotranspiration from an Olive Orchard using Remote Sensing-Based Dual Crop Coefficient Approach

Giuseppe Ciraolo, Cammalleri, Mario Minacapilli, Carmelo Cammalleri

Risultato della ricerca: Articlepeer review

31 Citazioni (Scopus)


A remote sensing-based approach to estimate actual evapotranspiration (ET) was tested in an area covered by olive trees and characterized by Mediterranean climate. The methodology is a modified version of the standard FAO-56 dual crop coefficient procedure, in which the croppotential transpiration, Tp, is obtained by directly applying the Penman-Monteith (PM) equation with actual canopy characteristics (i.e., leaf area index, albedo and canopy height) derived fromoptical remote sensing data. Due to the minimum requirement of in-situ ancillary inputs, the methodology is suitable also for applications on large areas where the use of tabled crop coefficientvalues become problematic, due to the need of corrections for specific crop parameters, i.e., percentage of ground cover, crop height, phenological cycles, etc. The methodology was appliedusing seven airborne remote sensing images acquired during spring-autumn 2008. The estimates based on PM approach always outperforms the ones obtained using simple crop coefficientconstant values. Additionally, the comparison of simulated daily evapotranspiration and transpirationwith the values observed by eddy correlation and sap flow techniques, respectively, shows a substantial agreement during both dry and wet days with an accuracy in the order of 0.5 and0.3 mm d−1, respectively. The obtained results suggest the capability of the proposed approach to correctly partition evaporation and transpiration components during both the irrigation season andrainy period also under conditions of significant reduction of actual ET from the potential one.
Lingua originaleUndefined/Unknown
Numero di pagine19
RivistaWater Resources Management
Stato di pubblicazionePublished - 2013

All Science Journal Classification (ASJC) codes

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