干旱区生态环境知识资源中心(Arid): Remote Sensing-Based Assessment of the Water-Use Efficiency of Maize over a Large, Arid, Regional Irrigation District

Arid

DOI	10.3390/rs14092035
	Remote Sensing-Based Assessment of the Water-Use Efficiency of Maize over a Large, Arid, Regional Irrigation District
	Jiang, Lei; Yang, Yuting; Shang, Songhao
通讯作者	Shang, SH
来源期刊	REMOTE SENSING
EISSN	2072-4292
出版年	2022
卷号	14 期号:9
英文摘要	Quantitative assessment of crop water-use efficiency (WUE) is an important basis for high-efficiency use of agricultural water. Here we assess the WUE of maize in the Hetao Irrigation District, which is a representative irrigation district in the arid region of Northwest China. Specifically, we firstly mapped the location of the maize field by using a remote sensing/phenological-based vegetation classifier and then quantified the maize water use and yield by using a dual-source remote-sensing evapotranspiration (ET) model and a crop water production function, respectively. Validation results show that the adopted phenological-based vegetation classifier performed well in mapping the spatial distributions and inter-annual variations of maize planting, with a kappa coefficient of 0.86. In addition, the ET model based on the hybrid dual-source scheme and trapezoid framework also obtained high accuracy in spatiotemporal ET mapping, with an RMSE of 0.52 mm/day at the site scale and 26.21 mm/year during the maize growing season (April-October) at the regional scale. Further, the adopted crop water production function showed high accuracy in estimating the maize yield, with a mean relative error of only 4.3%. Using the estimated ET, transpiration, and yield of maize, the mean maize WUE based on ET and transpiration in the study region were1.94 kg/m(3) and 3.06 kg/m(3), respectively. Our results demonstrate the usefulness and validity of remote sensing information in mapping regional crop WUE.
英文关键词	Hetao Irrigation District maize remote sensing evapotranspiration crop classification crop yield estimation water-use efficiency MODIS
类型	Article
语种	英语
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:000795437200001
WOS关键词	ENERGY-BALANCE ; NDVI DATA ; FEATURE-SELECTION ; EVAPOTRANSPIRATION ; MODEL ; VEGETATION ; PRODUCTIVITY ; PERFORMANCE ; MANAGEMENT ; FLUXES
WOS类目	Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向	Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/394139
推荐引用方式 GB/T 7714	Jiang, Lei,Yang, Yuting,Shang, Songhao. Remote Sensing-Based Assessment of the Water-Use Efficiency of Maize over a Large, Arid, Regional Irrigation District[J],2022,14(9).
APA	Jiang, Lei,Yang, Yuting,&Shang, Songhao.(2022).Remote Sensing-Based Assessment of the Water-Use Efficiency of Maize over a Large, Arid, Regional Irrigation District.REMOTE SENSING,14(9).
MLA	Jiang, Lei,et al."Remote Sensing-Based Assessment of the Water-Use Efficiency of Maize over a Large, Arid, Regional Irrigation District".REMOTE SENSING 14.9(2022).