干旱区生态环境知识资源中心(Arid): Estimation of Seasonal Evapotranspiration for Crops in Arid Regions Using Multisource Remote Sensing Images

Arid

DOI	10.3390/rs12152398
	Estimation of Seasonal Evapotranspiration for Crops in Arid Regions Using Multisource Remote Sensing Images
	Cha, Mingxing; Li, Mengmeng; Wang, Xiaoqin
通讯作者	Li, MM
来源期刊	REMOTE SENSING
EISSN	2072-4292
出版年	2020
卷号	12 期号:15
英文摘要	An accurate estimation of evapotranspiration (ET) from crops is crucial in irrigation management, crop yield assessment, and optimal allocation of water resources, particularly in arid regions. This study explores the estimation of seasonal evapotranspiration for crops using multisource remote sensing images. The proposed estimation framework starts with estimating daily evapotranspiration (ETd) values, which are then used to calculate ET estimates during the crop growing season (ETs). We incorporated Landsat images into the surface energy balance algorithm over land (SEBAL) model, and we used the trapezoidal and sinusoidal methods to estimate the seasonal ET. The trapezoidal method used multitemporal ET(d)images, while the sinusoidal method employs time-series Moderate Resolution Imaging Spectroradiometer (MODIS) images and multitemporal ET(d)images. Experiments were implemented in the agricultural lands of the Kai-Kong River Basin, Xinjiang, China. The experimental results show that the obtained ET(d)estimates using the SEBAL model are comparable with those from the Penman-Monteith method. The ET(s)obtained using the trapezoidal and sinusoidal methods both have a relatively high spatial resolution of 30 m. The sinusoidal method performs better than the trapezoidal method when using low temporal resolution Landsat images. We observed that the omission of Landsat images during the middle stage of crop growth has the greatest impact on the estimation results of ET(s)using the sinusoidal method. Based on the results of the study, we conclude that the proposed sinusoidal method, with integrated multisource remote sensing images, offers a useful tool in estimating seasonal evapotranspiration for crops in arid regions.
英文关键词	evapotranspiration SEBAL multisource remote sensing trapezoidal method sinusoidal method
类型	Article
语种	英语
开放获取类型	DOAJ Gold
收录类别	SCI-E
WOS记录号	WOS:000567683500001
WOS关键词	ENERGY BALANCE ALGORITHM ; LATENT-HEAT FLUX ; WATER REQUIREMENT ; EDDY COVARIANCE ; SURFACE ; EVAPORATION ; SELECTION ; SOIL ; PRODUCTS
WOS类目	Remote Sensing
WOS研究方向	Remote Sensing
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/326161
作者单位	[Cha, Mingxing; Li, Mengmeng; Wang, Xiaoqin] Fuzhou Univ, Natl & Local Joint Engn Res Ctr Satellite Geospat, Key Lab Spatial Data Min & Informat Sharing, Acad Digital China Fujian,Minist Educ, Fuzhou 350108, Peoples R China
推荐引用方式 GB/T 7714	Cha, Mingxing,Li, Mengmeng,Wang, Xiaoqin. Estimation of Seasonal Evapotranspiration for Crops in Arid Regions Using Multisource Remote Sensing Images[J],2020,12(15).
APA	Cha, Mingxing,Li, Mengmeng,&Wang, Xiaoqin.(2020).Estimation of Seasonal Evapotranspiration for Crops in Arid Regions Using Multisource Remote Sensing Images.REMOTE SENSING,12(15).
MLA	Cha, Mingxing,et al."Estimation of Seasonal Evapotranspiration for Crops in Arid Regions Using Multisource Remote Sensing Images".REMOTE SENSING 12.15(2020).