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Accueil du site → Projets de développement → Projets de recherche pour le Développement → 2009 → CROP EVAPOTRANSPIRATION DETERMINATION USING EDDY COVARIANCE FLUXES, HIGH RESOLUTION REMOTE SENSING IMAGERY & A SURFACE TEMPERATURE APPROACH

United States Department of Agriculture (USDA) 2009

CROP EVAPOTRANSPIRATION DETERMINATION USING EDDY COVARIANCE FLUXES, HIGH RESOLUTION REMOTE SENSING IMAGERY & A SURFACE TEMPERATURE APPROACH

Crop Evapotranspiration

United States Department of Agriculture (USDA) Research, Education & Economics Information System (REEIS)

Titre : CROP EVAPOTRANSPIRATION DETERMINATION USING EDDY COVARIANCE FLUXES, HIGH RESOLUTION REMOTE SENSING IMAGERY & A SURFACE TEMPERATURE APPROACH

Identification : 3090-13000-014-19

Pays : Etats Unis

Durée : Sep 01, 2009 à Aug 31, 2014

Objectif
1. Evaluate eddy covariance (EC) latent (LE) and sensible (H) heat fluxes using large monolithic weighing lysimeters’ data ; 2. Develop and evaluate algorithms to estimate surface aerodynamic temperature (SAT) and aerodynamic surface roughness lengths [for momentum (Zom) and heat transfer (Zoh)] using wind/temperature profiles, high resolution remote sensing (RS) imagery, and EC data ; 3. Evaluate the surface renewal (SR) model for its capability to estimate crop and native grassland actual ET using wind/temperature profiles, scintillometer, and EC data ; 4. Develop and evaluate a RS-SAT-based single source energy balance (EB) model, to accurately estimate spatially distributed ET, using measured evapotranspiration (ET) by large monolithic weighing lysimeters and a network of EC EB systems ; and 5. Evaluate a modified RS-based two-source EB model (M-TSM) using large monolithic weighing lysimeters.

Présentation : USDA

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