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Estimating crop yield using a satellite-based light use efficiency model

delete2016-01-01
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OA
AI
W
Wenping Yuan
Y
Yang Chen
J
Jiangzhou Xia
W
Wenjie Dong *
V
Vincenzo Magliulo
E
Eddy Moors
J
Jørgen E. Olesen
H
Haicheng Zhang
DOI:10.1016/j.ecolind.2015.08.013delete
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Abstract

Abstract

En 中文
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. (C) 2015 Elsevier Ltd. All rights reserved.
Keywords:
Light use efficiency
EC-LUE
Gross primary production
Crop yield
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Journal

Ecological Indicators cover
Ecological Indicators
IF:
7.4
Papers:
1.3W
Citations:
7.1W

Organization

B
Beijing Normal University
Scholars:
3.3W
Papers: 2.7W
Citations: 4.2W
W
Wageningen University & Research
Scholars:
2.9W
Papers: 2.8W
Citations: 55
B
Beijing Normal University Zhuhai
Scholars:
550
Papers: 436
Citations: 22
C
consiglio nazionale delle ricerche (cnr)
Scholars:
6.2W
Papers: 5.7W
Citations: 48
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