干旱区生态环境知识资源中心(Arid): Stepwise model parametrisation using satellite imagery and hemispherical photography: Tuning AquaCrop sensitive parameters for improved winter wheat yield predictions in semi-arid regions

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DOI	10.1016/j.fcr.2024.109327
	Stepwise model parametrisation using satellite imagery and hemispherical photography: Tuning AquaCrop sensitive parameters for improved winter wheat yield predictions in semi-arid regions
	Oulaid, Bader; Milne, Alice E.; Waine, Toby; El Alami, Rafiq; Rafiqi, Maryam; Corstanje, Ron
通讯作者	Oulaid, B
来源期刊	FIELD CROPS RESEARCH
ISSN	0378-4290
EISSN	1872-6852
出版年	2024
卷号	309
英文摘要	Crop models are complex with many parameters, which has limited their application. Here we present an approach which both removes the model complexity through reducing the parameter dimensionality through sensitivity analysis, and presents a subsequent efficient approach to model parameterisation using swarm optimisation. We do this for two key model outputs, crop canopy and yield, and for two types of observational data, hemispheric photographs and Landsat7 imagery. Importantly we compare the usefulness of these two sources of data in terms of accurate yield prediction. The results showed that the dominant model parameters that predict canopy cover were generally consistent across the fields, with the exception of those related water stress. Although mid-season canopy cover extracted from Landsat7 was underestimated, good agreement was found between the simulated and observed canopy cover for both sources of data. Subsequently, less accurate yield predictions were achieved with the Landsat7 compared to the hemispherical photography-based parametrizations. Despite the small differences in the canopy predictions, the implications for yield prediction were substantial with the parametrization based on hemispherical photography providing far more accurate estimates of yield. There are, however, additional resource implications associated with hemispherical photography. We evaluate these trade-offs, providing model parametrization sets and demonstrating the potential of satellite imagery to assist AquaCrop, particularly on large scales where ground measurements are challenging.
英文关键词	Crop modelling Canopy cover Wheat yield Model performance Soil fertility modelling
类型	Article
语种	英语
开放获取类型	hybrid
收录类别	SCI-E
WOS记录号	WOS:001201829600001
WOS关键词	FAO CROP MODEL ; GLOBAL SENSITIVITY ; SWARM OPTIMIZATION ; PERFORMANCE ASSESSMENT ; AGROECOSYSTEM MODEL ; VEGETATION INDEXES ; CANOPY STRUCTURE ; SOIL-WATER ; IRRIGATION ; CONVERGENCE
WOS类目	Agronomy
WOS研究方向	Agriculture
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/403726
推荐引用方式 GB/T 7714	Oulaid, Bader,Milne, Alice E.,Waine, Toby,et al. Stepwise model parametrisation using satellite imagery and hemispherical photography: Tuning AquaCrop sensitive parameters for improved winter wheat yield predictions in semi-arid regions[J],2024,309.
APA	Oulaid, Bader,Milne, Alice E.,Waine, Toby,El Alami, Rafiq,Rafiqi, Maryam,&Corstanje, Ron.(2024).Stepwise model parametrisation using satellite imagery and hemispherical photography: Tuning AquaCrop sensitive parameters for improved winter wheat yield predictions in semi-arid regions.FIELD CROPS RESEARCH,309.
MLA	Oulaid, Bader,et al."Stepwise model parametrisation using satellite imagery and hemispherical photography: Tuning AquaCrop sensitive parameters for improved winter wheat yield predictions in semi-arid regions".FIELD CROPS RESEARCH 309(2024).