干旱区生态环境知识资源中心(Arid): Spatially distributed crop model based on remote sensing

Arid

DOI	10.1016/j.agwat.2019.03.035
	Spatially distributed crop model based on remote sensing
	Han, Congying 1,2; Zhang, Baozhong 1,2; Chen, He 1,2; Wei, Zheng 1,2; Liu, Yu 1,2
通讯作者	Zhang, Baozhong
来源期刊	AGRICULTURAL WATER MANAGEMENT
ISSN	0378-3774
EISSN	1873-2283
出版年	2019
卷号	218 页码:165-173
英文摘要	Crop models are useful tools in investigating crop yield and water consumption and thus far, they have been well-developed in field applications. Moreover, their regional applications have evolved from lumped models to distributed models by considering the spatial variation in soil, climate, crop, and management measures to some extent. With the advent of modernized and refined farming and water management, the spatial variation of environment-related initial and crop parameters of models should be appropriately reflected. On this basis, this study performs spatial inversion of sowing date, maximum canopy coverage CCx, and relative biomass B-rel based on the AquaCrop-GIS model and by using remote sensing data. These parameters are incorporated as independent spatial variables into the distributed AquaCrop-GIS model to produce a remote sensing-based distributed AquaCrop-RS crop model, which will be validated with the corn data in the middle oasis of Heihe River. Findings suggest that the initial condition-sowing date and crop parameters CCx, and B-rel exhibit considerable spatial variation, the introduction of sowing date has a considerable influence on the simulation accuracy of evapotranspiration (ET), and crop parameters CCx and B-rel have a considerable influence on yield simulation accuracy. In comparison with the traditional AquaCrop-GIS model, the simulation accuracy of AquaCrop-RS model is generally improved by 5%-26% in regional ET and by 35%-72% in regional yield.
英文关键词	AquaCrop-RS Maximum canopy coverage Relative biomass Sowing date
类型	Article
语种	英语
国家	Peoples R China
收录类别	SCI-E
WOS记录号	WOS:000467512800017
WOS关键词	FAO-AQUACROP MODEL ; WATER PRODUCTIVITY ; IRRIGATION SYSTEM ; YIELD RESPONSE ; SOWING DATE ; MAIZE ; FIELD ; AVAILABILITY ; TEMPERATURE ; PERFORMANCE
WOS类目	Agronomy ; Water Resources
WOS研究方向	Agriculture ; Water Resources
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/214021
作者单位	1.China Inst Water Resources & Hydropower Res, State Key Lab Simulat & Regulat Water Cycle River, Beijing 100038, Peoples R China; 2.Natl Ctr Efficient Irrigat Engn & Technol Res Bei, Beijing 100048, Peoples R China
推荐引用方式 GB/T 7714	Han, Congying,Zhang, Baozhong,Chen, He,et al. Spatially distributed crop model based on remote sensing[J],2019,218:165-173.
APA	Han, Congying,Zhang, Baozhong,Chen, He,Wei, Zheng,&Liu, Yu.(2019).Spatially distributed crop model based on remote sensing.AGRICULTURAL WATER MANAGEMENT,218,165-173.
MLA	Han, Congying,et al."Spatially distributed crop model based on remote sensing".AGRICULTURAL WATER MANAGEMENT 218(2019):165-173.