Nitrogen status of durum wheat derived from Sentinel-2 satellite data in central Italy

被引:0
作者
Nino, Pasquale [1 ]
D'Urso, Guido [2 ]
Vanino, Silvia [3 ]
Di Bene, Claudia [3 ]
Farina, Roberta [3 ]
Bolognesi, Salvatore Falanga [4 ]
De Michele, Carlo [4 ]
Napoli, Rosario [3 ]
机构
[1] Council Agr Res & Econ CREA, Res Ctr Pol & Bioecon CREA PB, Borgo 20 Giugno 74, I-06121 Perugia, Italy
[2] Univ Naples Federico II, Dept Agr Sci, Via Univ 100, I-80055 Portici, Italy
[3] Council Agr Res & Econ, Res Ctr Agr & Environm CREA AA, Via Navicella 2-4, I-00184 Rome, Italy
[4] ARIESPACE Srl, Via Nuova Poggioreale 60L,Edificio 13, I-80143 Naples, Italy
基金
欧盟地平线“2020”;
关键词
Remote sensing; Leaf area index; Canopy chlorophyll content; Chlorophyll indices; Nitrogen nutrition index; LEAF-AREA INDEX; RED-EDGE BANDS; WINTER-WHEAT; DILUTION CURVE; CHLOROPHYLL CONTENT; VEGETATION INDEXES; SPECTRAL REFLECTANCE; REMOTE ESTIMATION; NUTRITION INDEX; DRY-MATTER;
D O I
10.1016/j.rsase.2024.101323
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
In agriculture, nitrogen (N) is a key element in plant nutrition that affects, both positively and negatively, the productive and qualitative results of the crop. Accurate quantification of nitrogen levels is crucial for devising effective plant nutrition strategies. The objective of this study was to validate a novel method to estimate the N content at different phenological stages of durum wheat (Triticum durum Desf. cv. Iride) under different N management strategies (chemical synthetic fertilizer - SYN and organic fertilizer - ORG) in Italy, using the Nitrogen Nutrition Index (NNI)as a diagnostic tool for improving nitrogen fertilization timing and doses. The NNI is the ratio between the actual crop nitrogen content (N-a) and the optimal level (N-c) required for ideal growth conditions. On ground level, Leaf Area Index (LAI), Canopy reflectance, leaf chlorophyll content (LCC) and N concentration in leaves were measured. At landscape level, LAI and Canopy Chlorophyll Indices (CIs) were derived from Sentinel 2 (S2) multispectral images captured on the same days as the ground measurements: Chlorophyll Indexes were used for estimating the canopy chlorophyll content, CCC. N-a in leaves and canopy were calculated from LCC and CCC respectively. In the study area, N-c is N-c = 4.65LAI(-0.35), R-2 = 0.92. Among the tested Chlorophyll Indices (CIs) regression models, the linear regression was the more accurate to predict Na content, even though most of the tested Chlorophyll Indices (CIs) showed an R-2 > 0.8,a. The best-performing spectral index in both calibration and validation steps resulted from the IRECI, with R-2 = 0.90 and RMSE = 0.31. The developed NNI well-captured the seasonal N dynamic for durum wheat, under different N management and meteorological conditions. The NNI calculated from S2 data for crop N status assessment, showed to be an accurate estimation of the Nitrogen Nutrition Index and can be used for the fertilization plans without costly on ground measurements.
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页数:19
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