干旱区生态环境知识资源中心(Arid): Determining maize water stress through a remote sensing-based surface energy balance approach

Arid

DOI	10.1007/s00271-020-00668-1
	Determining maize water stress through a remote sensing-based surface energy balance approach
	Costa-Filho, Edson 1; Chavez, Jose L.1; Comas, Louise 2
通讯作者	Chavez, Jose L.
来源期刊	IRRIGATION SCIENCE
ISSN	0342-7188
EISSN	1432-1319
出版年	2020
卷号	38 期号:5-6 页码:501-518
英文摘要	Determining water stress levels of vegetated surfaces is crucial for irrigation scheduling. This paper aims to evaluate a new method for obtaining crop water stress index (CWSI) based on the estimation of sensible heat flux using an aerodynamic temperature gradient approach. Data were collected on a deficit irrigated maize field at a research farm located in Greeley, Colorado, USA, in 2017 and 2018. The irrigation treatment used subsurface drip. Weather data were measured on-site at 3.3 m above ground level. RED and NIR surface reflectance data were obtained on-site through multispectral radiometer measurements. Nadir surface temperature data were measured using infra-red thermometers at 1 m above canopy. CWSI estimated values were used to assess daily soil water stress index (SWSI), calculated from measurements of volumetric soil water content (VWC) and management allowed depletion (MAD) of 40%. Results show that SWSI is best represented through a non-linear rational CWSI function. Modeled CWSI estimates were compared to measured surface heat fluxes, resulting in a mean bias error of - 0.02 and a root mean square error of 0.09, while errors were 0.02 and 0.06 when compared with observed CWSI based on canopy transpiration measured with plant sap flow devices. Results seem to validate the proposed sensible heat flux-based CWSI model. The CWSI approach presented could be used to manage irrigation and conserve water resources for maize in semi-arid regions.
类型	Article
语种	英语
国家	USA
收录类别	SCI-E
WOS记录号	WOS:000523046200001
WOS关键词	SOIL-WATER ; CANOPY TEMPERATURE ; CROP ; INDEX ; MODEL ; THERMOMETRY ; EMISSIVITY ; RADIATION ; WHEAT ; RATIO
WOS类目	Agronomy ; Water Resources
WOS研究方向	Agriculture ; Water Resources
来源机构	Colorado State University
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/314826
作者单位	1.Colorado State Univ, Civil & Environm Engn Dept, Ft Collins, CO 80523 USA; 2.ARS, USDA, Ft Collins, CO 80526 USA
推荐引用方式 GB/T 7714	Costa-Filho, Edson,Chavez, Jose L.,Comas, Louise. Determining maize water stress through a remote sensing-based surface energy balance approach[J]. Colorado State University,2020,38(5-6):501-518.
APA	Costa-Filho, Edson,Chavez, Jose L.,&Comas, Louise.(2020).Determining maize water stress through a remote sensing-based surface energy balance approach.IRRIGATION SCIENCE,38(5-6),501-518.
MLA	Costa-Filho, Edson,et al."Determining maize water stress through a remote sensing-based surface energy balance approach".IRRIGATION SCIENCE 38.5-6(2020):501-518.