干旱区生态环境知识资源中心(Arid): Monthly 10-m evapotranspiration rates retrieved by SEBALI with Sentinel-2 and MODIS LST data

Arid

DOI	10.1016/j.agwat.2020.106432
	Monthly 10-m evapotranspiration rates retrieved by SEBALI with Sentinel-2 and MODIS LST data
	Allam, Mona; Mhawej, Mario; Meng, Qingyan; Faour, Ghaleb; Abunnasr, Yaser; Fadel, Ali; Xinli, Hu
通讯作者	Faour, G (corresponding author), Natl Council Sci Res CNRS, Natl Ctr Remote Sensing, Beirut 11072260, Lebanon.
来源期刊	AGRICULTURAL WATER MANAGEMENT
ISSN	0378-3774
EISSN	1873-2283
出版年	2021
卷号	243
英文摘要	Actual and potential evapotranspiration (ET) are important variables for regional and global environmental modelling. These elements provide better understanding and management of the hydrological cycle, particularly in relation to several environmental stresses affecting ecosystems. With the advancement of airborne techniques, remote sensing approaches have enabled an accurate estimation of crop actual ET with limited field visits. In this study, an enhanced version (i.e. m-SEBALI) of the improved surface energy balance model for land, surnamed SEBALI, will be presented. Main improvements concern the retrieval of 10-m ET values using Sentinel-2 images and MODIS Terra LST 1-km datasets. The other enhancement considers the usage of monthly-only climatic datasets, instead of the required hourly, daily and monthly data in SEBALI. Calibrations and validations were made in China, Belgium, Germany, Lebanon and Italy between 2013 and 2017, yielding adequate RSME (i.e. 20.06 mm/month) and AME (i.e. 15.69 mm/month) values. These countries represent four different climatic regions (i.e. continental semi-arid, Monsoon-influenced warm-summer humid continental, Mediterranean hot summer and Oceanic climates). Thus, Landast-8 thermal bands will be unnecessary to implement SEBALI. Also, the conversion between hourly and daily climatic data and monthly climatic datasets in SEBALI showed a Pearson value of 93.3 %. Thus, seven of the required inputs in SEBALI were eliminated in m-SEBALI, saving on time and resources. Furthermore, the wheat seasonal trend is produced in the Bekaa valley, Lebanon, between November 2018 and July 2019, showing an average ET value of 620 mm in a region with 510 mm of precipitations during the same period. Two peaks were visible in January and May signaling the different wheat phenological stages. The importance of m-SEBALI lies in providing an automated retrieval of 10-m ET, biomass production and water productivity (WP), among other variables, in diverse climatic regions. Such improvements shall improve the assessment of ET and WP towards better management of water resources, particularly in regions lacking some required inputs.
英文关键词	SEBALI MODIS Water productivity China Developing country Farm-scale
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000594655200008
WOS关键词	ENERGY BALANCE ALGORITHM
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/2XILL650/347662
作者单位	[Allam, Mona; Meng, Qingyan; Xinli, Hu] Chinese Acad Sci, Aerosp Informat Res Inst, Beijing 100094, Peoples R China; [Allam, Mona] Natl Water Res Ctr, Environm & Climate Change Res Inst, Cairo 136215, Egypt; [Mhawej, Mario; Faour, Ghaleb; Fadel, Ali] Natl Council Sci Res CNRS, Natl Ctr Remote Sensing, Beirut 11072260, Lebanon; [Abunnasr, Yaser] Amer Univ Beirut, Fac Agr & Food Sci, Dept Landscape Design & Ecosyst Management, Bliss St, Beirut 20201100, Lebanon
推荐引用方式 GB/T 7714	Allam, Mona,Mhawej, Mario,Meng, Qingyan,et al. Monthly 10-m evapotranspiration rates retrieved by SEBALI with Sentinel-2 and MODIS LST data[J],2021,243.
APA	Allam, Mona.,Mhawej, Mario.,Meng, Qingyan.,Faour, Ghaleb.,Abunnasr, Yaser.,...&Xinli, Hu.(2021).Monthly 10-m evapotranspiration rates retrieved by SEBALI with Sentinel-2 and MODIS LST data.AGRICULTURAL WATER MANAGEMENT,243.
MLA	Allam, Mona,et al."Monthly 10-m evapotranspiration rates retrieved by SEBALI with Sentinel-2 and MODIS LST data".AGRICULTURAL WATER MANAGEMENT 243(2021).