干旱区生态环境知识资源中心(Arid): Precision Estimation of Crop Coefficient for Maize Cultivation Using High-Resolution Satellite Imagery to Enhance Evapotranspiration Assessment in Agriculture

Arid

DOI	10.3390/plants13091212
	Precision Estimation of Crop Coefficient for Maize Cultivation Using High-Resolution Satellite Imagery to Enhance Evapotranspiration Assessment in Agriculture
	Nagy, Attila; Kiss, Nikolett Eva; Buday-Bodi, Erika; Magyar, Tamas; Cavazza, Francesco; Gentile, Salvatore Luca; Abdullah, Haidi; Tamas, Janos; Feher, Zsolt Zoltan
通讯作者	Kiss, NÉ
来源期刊	PLANTS-BASEL
ISSN	2223-7747
出版年	2024
卷号	13 期号:9
英文摘要	The estimation of crop evapotranspiration (ETc) is crucial for irrigation water management, especially in arid regions. This can be particularly relevant in the Po Valley (Italy), where arable lands suffer from drought damages on an annual basis, causing drastic crop yield losses. This study presents a novel approach for vegetation-based estimation of crop evapotranspiration (ETc) for maize. Three years of high-resolution multispectral satellite (Sentinel-2)-based Normalized Difference Vegetation Index (NDVI), Normalized Difference Water Index (NDWI), Normalized Difference Red Edge Index (NDRE), and Leaf Area Index (LAI) time series data were used to derive crop coefficients of maize in nine plots at the Acqua Campus experimental farm of Irrigation Consortium for the Emilia Romagna Canal (CER), Italy. Since certain vegetation indices (VIs) (such as NDVI) have an exponential nature compared to the other indices, both linear and power regression models were evaluated to estimate the crop coefficient (K-c). In the context of linear regression, the correlations between Food and Agriculture Organization (FAO)-based K-c and NDWI, NDRE, NDVI, and LAI-based K-c were 0.833, 0.870, 0.886, and 0.771, respectively. Strong correlation values in the case of power regression (NDWI: 0.876, NDRE: 0.872, NDVI: 0.888, LAI: 0.746) indicated an alternative approach to provide crop coefficients for the vegetation period. The VI-based ETc values were calculated using reference evapotranspiration (ET0) and VI-based K-c. The weather station data of CER were used to calculate ET0 based on Penman-Monteith estimation. Out of the Vis, NDWI and NDVI-based ETc performed the best both in the cases of linear (NDWI RMSE: 0.43 +/- 0.12; NDVI RMSE: 0.43 +/- 0.095) and power (NDWI RMSE: 0.44 +/- 0.116; NDVI RMSE: 0.44 +/- 0.103) approaches. The findings affirm the efficacy of the developed methodology in accurately assessing the evapotranspiration rate. Consequently, it offers a more refined temporal estimation of water requirements for maize cultivation in the region.
英文关键词	Sentinel-2 vegetation index-based K-c vegetation index-based crop evapotranspiration maize water demand
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:001220683800001
WOS关键词	DIFFERENCE VEGETATION INDEX ; LEAF-AREA INDEX ; ENERGY-BALANCE ; WINTER-WHEAT ; CORN ; SENTINEL-2 ; MANAGEMENT ; BIOMASS ; GROWTH ; YIELD
WOS类目	Plant Sciences
WOS研究方向	Plant Sciences
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/405150
推荐引用方式 GB/T 7714	Nagy, Attila,Kiss, Nikolett Eva,Buday-Bodi, Erika,et al. Precision Estimation of Crop Coefficient for Maize Cultivation Using High-Resolution Satellite Imagery to Enhance Evapotranspiration Assessment in Agriculture[J],2024,13(9).
APA	Nagy, Attila.,Kiss, Nikolett Eva.,Buday-Bodi, Erika.,Magyar, Tamas.,Cavazza, Francesco.,...&Feher, Zsolt Zoltan.(2024).Precision Estimation of Crop Coefficient for Maize Cultivation Using High-Resolution Satellite Imagery to Enhance Evapotranspiration Assessment in Agriculture.PLANTS-BASEL,13(9).
MLA	Nagy, Attila,et al."Precision Estimation of Crop Coefficient for Maize Cultivation Using High-Resolution Satellite Imagery to Enhance Evapotranspiration Assessment in Agriculture".PLANTS-BASEL 13.9(2024).