干旱区生态环境知识资源中心(Arid): Spatial Allocation Method from Coarse Evapotranspiration Data to Agricultural Fields by Quantifying Variations in Crop Cover and Soil Moisture

Arid

DOI	10.3390/rs13030343
	Spatial Allocation Method from Coarse Evapotranspiration Data to Agricultural Fields by Quantifying Variations in Crop Cover and Soil Moisture
	Ma, Zonghan; Wu, Bingfang; Yan, Nana; Zhu, Weiwei; Zeng, Hongwei; Xu, Jiaming
通讯作者	Wu, BF (corresponding author), Chinese Acad Sci, Aerosp Informat Res Inst, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China. ; Wu, BF (corresponding author), Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100101, Peoples R China.
来源期刊	REMOTE SENSING
EISSN	2072-4292
出版年	2021
卷号	13 期号:3
英文摘要	Cropland evapotranspiration (ET) is the major source of water consumption in agricultural systems. The precise management of agricultural ET helps optimize water resource usage in arid and semiarid regions and requires field-scale ET data support. Due to the combined limitations of satellite sensors and ET mechanisms, the current high-resolution ET models need further refinement to meet the demands of field-scale ET management. In this research, we proposed a new field-scale ET estimation method by developing an allocation factor to quantify field-level ET variations and allocate coarse ET to the field scale. By regarding the agricultural field as the object of the ET parcel, the allocation factor is calculated with combined high-resolution remote sensing indexes indicating the field-level ET variations under different crop growth and land-surface water conditions. The allocation ET results are validated at two ground observation stations and show improved accuracy compared with that of the original coarse data. This allocated ET model provides reasonable spatial results of field-level ET and is adequate for precise agricultural ET management. This allocation method provides new insight into calculating field-level ET from coarse ET datasets and meets the demands of wide application for controlling regional water consumption, supporting the ET management theory in addressing the impacts of water scarcity on social and economic developments.
英文关键词	agricultural water management crop water consumption remote sensing model evapotranspiration allocation
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:000615473900001
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/2XILL650/348132
作者单位	[Ma, Zonghan; Wu, Bingfang; Yan, Nana; Zhu, Weiwei; Zeng, Hongwei; Xu, Jiaming] Chinese Acad Sci, Aerosp Informat Res Inst, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China; [Ma, Zonghan; Wu, Bingfang; Xu, Jiaming] Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100101, Peoples R China
推荐引用方式 GB/T 7714	Ma, Zonghan,Wu, Bingfang,Yan, Nana,et al. Spatial Allocation Method from Coarse Evapotranspiration Data to Agricultural Fields by Quantifying Variations in Crop Cover and Soil Moisture[J],2021,13(3).
APA	Ma, Zonghan,Wu, Bingfang,Yan, Nana,Zhu, Weiwei,Zeng, Hongwei,&Xu, Jiaming.(2021).Spatial Allocation Method from Coarse Evapotranspiration Data to Agricultural Fields by Quantifying Variations in Crop Cover and Soil Moisture.REMOTE SENSING,13(3).
MLA	Ma, Zonghan,et al."Spatial Allocation Method from Coarse Evapotranspiration Data to Agricultural Fields by Quantifying Variations in Crop Cover and Soil Moisture".REMOTE SENSING 13.3(2021).