Please use this identifier to cite or link to this item: http://hdl.handle.net/10174/23841

Title: Satellite-based evapotranspiration of a super-intensive olive orchard: Application of METRIC algorithms
Authors: Poças, Isabel
Paço, Teresa A.
Cunha, Mário
Andrade, José A.
Silvestre, José
Sousa, Adélia
Santos, Francisco L.
Pereira, Luís S.
Allen, Richard G.
Keywords: Landsat images
Leaf area index
Momentum roughness length
Remote sensing
Surface energy balance
Surface temperature
Issue Date: 16-Jul-2014
Publisher: Biosystems Engineering
Citation: Poças, I., Paço, T.A., Cunha, M. Andrade, J.A., Silvestre, J., Sousa, A., Santos, F.L. Pereira, L.S., Allen, R.G. 2014. Satellite-based evapotranspiration of a super-intensive olive orchard: Application of METRIC algorithms, Biosystems Engineering, 128, 69-81
Abstract: METRIC™is a satellite-based surface energy balance model aimed at estimating and map-ping crop evapotranspiration (ET). It has been applied to a large range of vegetation types,mostly annual crops. When applied to anisotropic woody canopies, such as olive orchards,extensions are required to algorithms for estimating the leaf area index (LAI), surfacetemperature, and momentum roughness length (Zom). The computation of the radiometricsurface temperature needs to consider a three-source condition, thus differentiating thetemperature of the canopy (Tc), of the shaded ground surface (Tshadow), and of the sunlitground surface (Tsunlit). The estimation of theZomfor tall and incomplete cover is basedupon the LAI and crop height using the Perrier equation. The LAI,Zom, and temperaturederived from METRIC after these adjustments were tested against field collected data withgood results. The application of METRIC to a two year set of Landsat images to estimate ET ofa super-intensive olive orchard in Southern Portugal produced good ET estimates thatcompared well with ground-based ET. The analysis of METRIC performance showed aquantitative improvement of ET estimates when applying the three-source condition fortemperature estimation, as well as theZomcomputation with the Perrier equation. Resultsshow that METRIC can be used operationally to estimate and mapping ET of super-intensiveolive orchards aiming at improving irrigation water use and management.
URI: https://www.sciencedirect.com/science/article/pii/S153751101400110X
http://hdl.handle.net/10174/23841
Type: article
Appears in Collections:ICAAM - Publicações - Artigos em Revistas Internacionais Com Arbitragem Científica

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