Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

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Record number 499171
Title Estimating crop yield using a satellite-based light use efficiency model
Author(s) Yuan, Wenping; Chen, Yang; Xia, Jiangzhou; Dong, Wenjie; Magliulo, Vincenzo; Moors, Eddy; Olesen, Jørgen Eivind; Zhang, Haicheng
Source Ecological Indicators 60 (2016). - ISSN 1470-160X - p. 702 - 709.
DOI https://doi.org/10.1016/j.ecolind.2015.08.013
Department(s) Alterra - Climate change and adaptive land and water management
Publication type Refereed Article in a scientific journal
Publication year 2016
Keyword(s) Crop yield - EC-LUE - Gross primary production - Light use efficiency
Abstract

Satellite-based techniques that provide temporally and spatially continuous information over vegetated surfaces have become increasingly important in monitoring the global agriculture yield. In this study, we examine the performance of a light use efficiency model (EC-LUE) for simulating the gross primary production (GPP) and yield of crops. The EC-LUE model can explain on average approximately 90% of the variability in GPP for 36 FLUXNET sites globally. The results indicate that a universal set of parameters, independent of crop species (except for C4 crops), can be adopted in the EC-LUE model for simulating crops' GPP. At both irrigated and rainfed sites, the EC-LUE model exhibits a similar level of performance. However, large errors are found when simulating yield based on crop harvest index. This analysis highlights the need to improve the representation of the harvest index and carbon allocation for improving crop yield estimations from satellite-based methods.

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