Integration of remote sensing derived parameters in crop models: Application to the PILOTE model for hay production

Mohammad El Hajj, Nicolas Baghdadi, Bruno Cheviron, Gilles Belaud and Mehrez Zribi

Agricultural Water Management, 2016, vol. 176, issue C, 67-79

Abstract: The aim of this study is to assess the effects and interests of integrating remote-sensing-derived parameters (LAI, harvest and irrigation dates) in a crop model (PILOTE) that simulates vegetation growth for hay crops. The target variable is the prediction of Total Dry Matter (TDM) production in each of the three growth cycles.

Keywords: Crop model; Remote sensing; Uncertainty analysis; Forcing data; Irrigation management (search for similar items in EconPapers)
Date: 2016
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Persistent link: https://EconPapers.repec.org/RePEc:eee:agiwat:v:176:y:2016:i:c:p:67-79

DOI: 10.1016/j.agwat.2016.05.017

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