干旱区生态环境知识资源中心(Arid): Combination of Sentinel-2 Satellite Images and Meteorological Data for Crop Water Requirements Estimation in Intensive Agriculture

Arid

DOI	10.3390/agriculture12081168
	Combination of Sentinel-2 Satellite Images and Meteorological Data for Crop Water Requirements Estimation in Intensive Agriculture
	El Hachimi, Jaouad; El Harti, Abderrazak; Lhissou, Rachid; Ouzemou, Jamal-Eddine; Chakouri, Mohcine; Jellouli, Amine
通讯作者	El Hachimi, J
来源期刊	AGRICULTURE-BASEL
EISSN	2077-0472
出版年	2022
卷号	12 期号:8
英文摘要	In arid and semi-arid regions, agriculture is an important element of the national economy, but this sector is a large consumer of water. In a context of high pressure on water resources, appropriate management is required. In semi-arid, intensive agricultural systems, such as the Tadla irrigated perimeter in central Morocco, a large amount of water is lost by evapotranspiration (ET), and farmers need an effective decision support system for good irrigation management. The main objective of this study was to combine a high spatial resolution Sentinel-2 satellite and meteorological data for estimating crop water requirements in the irrigated perimeter of Tadla and qualifying its irrigation strategy. The dual approach of the FAO-56 (Food and Agriculture Organization) model, based on the modulation of evaporative demand, was used for the estimation of crop water requirements. Sentinel-2A temporal images were used for crop type mapping and deriving the basal crop coefficient (Kcb) based on NDVI data. Meteorological data were also used in crop water requirement simulation, using SAMIR (satellite monitoring of irrigation) software. The results allowed for the spatialization of crop water requirements on a large area of irrigated crops during the 2016-2017 agricultural season. In general, the crops' requirement for water is at its maximum during the months of March and April, and the critical period starts from February for most crops. Maps of water requirements were developed. They showed the variability over time of crop development and their estimated water requirements. The results obtained constitute an important indicator of how water should be distributed over the area in order to improve the efficiency of the irrigation scheduling strategy.
英文关键词	water management remote sensing evapotranspiration Sentinel-2A FAO-56
类型	Article
语种	英语
开放获取类型	Green Published, gold
收录类别	SCI-E
WOS记录号	WOS:000846198200001
WOS关键词	REMOTE-SENSING DATA ; SAP FLOW ; TIME-SERIES ; EVAPOTRANSPIRATION ; IRRIGATION ; WHEAT ; INDEXES ; MODEL
WOS类目	Agronomy
WOS研究方向	Agriculture
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/391693
推荐引用方式 GB/T 7714	El Hachimi, Jaouad,El Harti, Abderrazak,Lhissou, Rachid,et al. Combination of Sentinel-2 Satellite Images and Meteorological Data for Crop Water Requirements Estimation in Intensive Agriculture[J],2022,12(8).
APA	El Hachimi, Jaouad,El Harti, Abderrazak,Lhissou, Rachid,Ouzemou, Jamal-Eddine,Chakouri, Mohcine,&Jellouli, Amine.(2022).Combination of Sentinel-2 Satellite Images and Meteorological Data for Crop Water Requirements Estimation in Intensive Agriculture.AGRICULTURE-BASEL,12(8).
MLA	El Hachimi, Jaouad,et al."Combination of Sentinel-2 Satellite Images and Meteorological Data for Crop Water Requirements Estimation in Intensive Agriculture".AGRICULTURE-BASEL 12.8(2022).