HyperART: non-invasive quantification of leaf traits using hyperspectral absorption-reflectance-transmittance imaging

Bergsträsser, Sergej; Fanourakis, Dimitrios; Schmittgen, Simone; Cendrero-Mateo, Maria Pilar; Jansen, Marcus; Scharr, Hanno; Rascher, Uwe

doi:10.1186/s13007-015-0043-0

Plant Methods

Table 3 Vegetation indices performance based on a linear regression model

From: HyperART: non-invasive quantification of leaf traits using hyperspectral absorption-reflectance-transmittance imaging

Index	Rank	Source	COR	R ²	F	P	Index	Rank	Source	COR	R ²	F	P
ANCB	12	τ	0.75	0.56	49.14	0.00	PSNDb	17	τ	0.73	0.53	42.17	0.00
	15	*ρ + τ*	0.74	0.55	45.75	0.00		23	ρ + τ	0.65	0.43	28.49	0.00
	28	ρ	0.62	0.39	24.20	0.00		49	ρ	0.45	0.20	9.53	0.00
BGI2	5	ρ	0.78	0.61	59.78	0.00	PSRI	52	τ	0.34	0.12	4.97	0.03
	31	τ	−0.60	0.36	21.79	0.00		56	ρ + τ	0.27	0.07	3.05	0.09
	42	ρ + τ	0.50	0.25	12.68	0.00		64	ρ	0.05	0.00	0.09	0.77
Chlg	37	ρ + τ	0.55	0.30	16.15	0.00	PSSRa	18	τ	0.71	0.51	39.52	0.00
	43	ρ	0.49	0.24	11.86	0.00		50	ρ + τ	0.37	0.14	6.16	0.02
	57	τ	0.23	0.05	2.12	0.15		66	ρ	0.02	0.00	0.02	0.88
Chlre	13	τ	0.75	0.56	47.68	0.00	PSSRb	9	τ	0.76	0.58	52.50	0.00
	19	*ρ + τ*	0.71	0.50	38.59	0.00		20	ρ + τ	0.70	0.48	35.76	0.00
	34	ρ	0.59	0.34	19.80	0.00		53	ρ	0.33	0.11	4.67	0.04
EVI	1	*ρ + τ*	0.83	0.70	87.37	0.00	SR1	6	τ	0.78	0.60	57.58	0.00
	24	τ	0.65	0.42	27.30	0.00		16	*ρ + τ*	0.73	0.54	43.81	0.00
	40	ρ	0.52	0.27	13.72	0.00		29	ρ	0.62	0.39	23.97	0.00
MCARI	35	ρ	−0.58	0.34	19.23	0.00	SIPI	30	τ	0.61	0.37	22.38	0.00
	39	ρ + τ	−0.52	0.27	14.32	0.00		55	ρ + τ	0.29	0.08	3.39	0.07
	48	τ	0.46	0.21	10.01	0.00		63	ρ	−0.08	0.01	0.27	0.60
mND	4	τ	0.80	0.64	67.83	0.00	SR2	14	τ	0.74	0.55	45.79	0.00
	7	*ρ + τ*	0.77	0.59	55.58	0.00		47	ρ + τ	0.46	0.21	10.05	0.00
	26	ρ	0.63	0.39	24.65	0.00		65	ρ	0.04	0.00	0.06	0.81
mSR	10	τ	0.75	0.57	49.85	0.00	TCARI	38	ρ	−0.54	0.29	15.61	0.00
	33	ρ + τ	−0.59	0.35	20.20	0.00		45	ρ + τ	−0.48	0.23	11.14	0.00
	54	ρ	−0.31	0.10	4.15	0.05		60	τ	0.13	0.02	0.67	0.42
ND	3	τ	0.80	0.64	68.15	0.00	TCARI/OSAVI	32	ρ	−0.59	0.35	20.27	0.00
	11	*ρ + τ*	0.75	0.56	49.16	0.00		36	ρ + τ	−0.56	0.31	17.12	0.00
	27	ρ	0.63	0.39	24.65	0.00		59	τ	−0.13	0.02	0.68	0.41
NDVI	22	τ	0.66	0.43	28.78	0.00	TVI	44	ρ + τ	0.48	0.23	11.46	0.00
	41	ρ + τ	0.51	0.26	13.30	0.00		51	τ	0.35	0.12	5.35	0.03
	58	ρ	0.16	0.03	1.00	0.32		61	ρ	0.13	0.02	0.67	0.42
PSNDa	25	τ	0.64	0.41	26.88	0.00	VOG	2	τ	0.80	0.64	68.85	0.00
	46	ρ + τ	0.47	0.22	10.87	0.00		8	*ρ + τ*	0.76	0.58	52.70	0.00
	62	ρ	0.12	0.01	0.56	0.46		21	ρ	0.68	0.46	32.31	0.00

Determination (R²) and correlation (COR) coefficients, as well as significance level of the relation between the 22 vegetation indices (abbreviations in Table 1) and destructively-measured chlorophyll content. Vegetation indices were calculated based on reflectance (ρ), transmittance (τ) or combination of ρ with τ (i.e., ρ + +τ) source images. Indices were ranked based on the R² value (all three source images were included in the ranking). The entire leaf surface was averaged (n = 40). All four species (maize, rapeseed, barley and tomato) were plotted together. Plants were grown under control or deficient nitrogen levels. Bold text indicates R² values greater or equal to 0.5.

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ISSN: 1746-4811

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