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001-es BibID:	BIBFORM120768
Első szerző:	Nagy Attila (környezetgazdálkodási agrármérnök)
Cím:	Precision Estimation of Crop Coefficient for Maize Cultivation Using High-Resolution Satellite Imagery to Enhance Evapotranspiration Assessment in Agriculture / Attila Nagy, Nikolett Éva Kiss, Erika Buday-Bódi, Tamás Magyar, Francesco Cavazza, Salvatore Luca Gentile, Haidi Abdullah, János Tamás, Zsolt Zoltán Fehér
Dátum:	2024
ISSN:	2223-7747
Megjegyzések:	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 (Kc). In the context of linear regression, the correlations between Food and Agriculture Organization (FAO)-based Kc and NDWI, NDRE, NDVI, and LAI-based Kc 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 Kc. 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.
Tárgyszavak:	Agrártudományok Növénytermesztési és kertészeti tudományok idegen nyelvű folyóiratközlemény külföldi lapban folyóiratcikk Sentinel-2 vegetation index-based Kc vegetation index-based crop evapotranspiration maize water demand
Megjelenés:	Plants-Basel. - 13 : 9 (2024), p. 1-20. -
További szerzők:	Kiss Nikolett Éva (1992-) (Környezetgazdálkodási agrármérnök) Bódi Erika (1989-) (geológus, geográfus) Magyar Tamás (1987-) (környezetgazdálkodás) Francesco Cavazza (1990-) (gazdasági agrármérnök) Salvatore Luca Gentile (1990-) (Agronomist) Haidi Abdullah (1990-) (geográfus) Tamás János (1959-) (környezetgazdálkodási agrármérnök) Fehér Zsolt Zoltán (1984-) (geoinformatika)
Pályázati támogatás:	WATERAGRI No. 858375 Egyéb Bolyai János ösztöndíj Egyéb
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