干旱区生态环境知识资源中心(Arid): Estimation of Evaporation and Drought Stress of Pistachio Plant Using UAV Multispectral Images and a Surface Energy Balance Approach

Arid

DOI	10.3390/horticulturae10050515
	Estimation of Evaporation and Drought Stress of Pistachio Plant Using UAV Multispectral Images and a Surface Energy Balance Approach
	Khormizi, Hadi Zare; Malamiri, Hamid Reza Ghafarian; Ferreira, Carla Sofia Santos
通讯作者	Ferreira, CSS
来源期刊	HORTICULTURAE
EISSN	2311-7524
出版年	2024
卷号	10 期号:5
英文摘要	Water scarcity is a critical abiotic stress factor for plants in arid and semi-arid regions, impacting crop development and production yield and quality. Monitoring water stress at finer scales (e.g., farm and plant), requires multispectral imagery with thermal capabilities at centimeter resolution. This study investigates drought stress in pistachio trees in a farm located in Yazd province, Iran, by using Unmanned Aerial Vehicle (UAV) images to quantify evapotranspiration and assess drought stress in individual trees. Images were captured on 10 July 2022, using a Matrix 300 UAV with a MicaSense Altum multispectral sensor. By employing the Surface Energy Balance Algorithm for Land (SEBAL), actual field evapotranspiration was accurately calculated (10 cm spatial resolution). Maps of the optimum crop coefficient (K-c) were developed from the Normalized Difference Vegetation Index (NDVI) based on standard evapotranspiration using the Food and Agriculture Organization (FAO) 56 methodology. The comparison between actual and standard evapotranspiration allowed us to identify drought-stressed trees. Results showed an average and maximum daily evaporation of 4.3 and 8.0 mm/day, respectively, in pistachio trees. The real crop coefficient (K-c) for pistachio was 0.66, contrasting with the FAO 56 standard of 1.17 due to the stress factor (K-s). A significant correlation was found between K-c and NDVI (R-2 = 0.67, p < 0.01). The regression model produced a crop coefficient map, valuable to support precise irrigation management and drought prevention, considering the heterogeneity at the farm scale.
英文关键词	UAV SEBAL algorithm crop water stress irrigation management arid region
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:001233520500001
WOS关键词	MAPPING EVAPOTRANSPIRATION ; SEBAL ALGORITHM ; REMOTE ; SOIL
WOS类目	Horticulture
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/2XILL650/404061
推荐引用方式 GB/T 7714	Khormizi, Hadi Zare,Malamiri, Hamid Reza Ghafarian,Ferreira, Carla Sofia Santos. Estimation of Evaporation and Drought Stress of Pistachio Plant Using UAV Multispectral Images and a Surface Energy Balance Approach[J],2024,10(5).
APA	Khormizi, Hadi Zare,Malamiri, Hamid Reza Ghafarian,&Ferreira, Carla Sofia Santos.(2024).Estimation of Evaporation and Drought Stress of Pistachio Plant Using UAV Multispectral Images and a Surface Energy Balance Approach.HORTICULTURAE,10(5).
MLA	Khormizi, Hadi Zare,et al."Estimation of Evaporation and Drought Stress of Pistachio Plant Using UAV Multispectral Images and a Surface Energy Balance Approach".HORTICULTURAE 10.5(2024).