Spectral-temporal characterization of wheat cultivars through NDVI obtained by terrestrial sensors

Cattani, Carlos E. V.; Garcia, Murilo R.; Mercante, Erivelto; Johann, Jerry A.; Correa, Marcus M.; Oldoni, Lucas V.

doi:10.1590/1807-1929/agriambi.v21n11p769-773

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ARTICLE • Rev. bras. eng. agríc. ambient. 21 (11) • Nov 2017 • https://doi.org/10.1590/1807-1929/agriambi.v21n11p769-773 copy

Spectral-temporal characterization of wheat cultivars through NDVI obtained by terrestrial sensors

Caracterização espectro-temporal de cultivares de trigo utilizando NDVI obtido por sensores terrestres

Authorship SCIMAGO INSTITUTIONS RANKINGS

ABSTRACT

Remote sensing applications in agriculture are presented as a very promising reality, but research is still needed for the correct use of spectral data. The objective of this study was to evaluate the spectral-temporal patterns of eleven wheat cultivars (Triticum aestivum L.). The experiment was conducted in Cascavel, PR, in the year 2014. With the help of the GreenSeeker and FieldSpec 4 terrestrial sensors, spectral signatures were determined and the temporal profiles of the Normalized Difference Vegetation Index (NDVI) were created. Statistical differences between wheat cultivars were analysed using analysis of variance (ANOVA) and Scott-Knott test. Grain yields obtained with INSEY (In-Season Estimate of Yield) factors were correlated. NDVI normalized by degree-days accumulated from the Feekes growth stages 2 and 8 showed to be more consistent in the estimation of grain yield, explaining approximately 70% of the variation. At the Feekes stage 10.1, wheat cultivars presented different spectral patterns in the near and medium infrared bands. This suggests that these spectral bands can be used to differentiate wheat cultivars.

Key words:
vegetation index; remote sensing; growth stage

Growth stage	R
Growth stage	NDVI	DFP INSEY	GDD INSEY
Feekes 2	0.45	0.45	0.45
Feekes 3	0.56	0.56	0.56
Feekes 5	0.40	0.49	0.48
Feekes 8	0.52	0.62	0.67
Feekes 10.1	0.57	0.25	0.26
Feekes 10.5	0.49	0.21	0.17
Feekes 11	0.46	0.36	0.35
Feekes 2 - 8	0.41*	0.57*	0.70*

Sensor	Cultivars	Growth stages (Feekes)							Prod. (kg ha^-1)
Sensor	Cultivars	2	3	5	8	10.1	10.5	11	Prod. (kg ha^-1)
GreenSeeker	CD 104	0.30 b	0.44 b	0.60 a	0.81 a	0.81 a	0.69 a	0.42 c	5.468
	CD 108	0.30 b	0.46 b	0.52 b	0.63 a	0.73 a	0.65 a	0.62 a	5.834
	CD 116	0.30 b	0.43 b	0.52 b	0.66 a	0.73 a	0.63 a	0.56 b	5.171
	CD 150	0.35 a	0.55 a	0.68 a	0.82 a	0.83 a	0.79 a	0.73 a	7.011
	CD 154	0.31 b	0.46 b	0.61 a	0.75 a	0.81 a	0.70 a	0.60 a	6.026
	CD 1440	0.29 b	0.42 b	0.49 b	0.72 a	0.79 a	0.72 a	0.59 a	5.753
	CD 1550	0.28 b	0.41 b	0.48 b	0.75 a	0.81 a	0.68 a	0.52 b	5.957
	BRS Guamirim	0.31 b	0.45 b	0.58 a	0.73 a	0.82 a	0.75 a	0.64 a	5.634
	BRS Pardela	0.30 b	0.46 b	0.59 a	0.78 a	0.83 a	0.71 a	0.65 a	6.647
	Mirante	0.31 b	0.45 b	0.54 b	0.75 a	0.81 a	0.68 a	0.53 b	7.031
	Quartzo	0.31 b	0.43 b	0.52 b	0.77 a	0.83 a	0.73 a	0.63 a	6.271
FieldSpec 4	CD 104	0.35 A	0.55 B	0.67 B	0.91 A	0.92 A	0.86 A	0.54 C	5.468
	CD 108	0.41 A	0.59 A	0.78 A	0.87 A	0.91 A	0.87 A	0.85 A	5.834
	CD 116	0.38 A	0.63 A	0.66 B	0.82 B	0.87 A	0.82 A	0.72 B	5.171
	CD 150	0.43 A	0.64 A	0.84 A	0.91 A	0.93 A	0.92 A	0.89 A	7.011
	CD 154	0.34 A	0.58 A	0.79 A	0.88 A	0.92 A	0.89 A	0.76 B	6.026
	CD 1440	0.31 A	0.58 A	0.64 B	0.88 A	0.91 A	0.86 A	0.77 B	5.753
	CD 1550	0.31 A	0.53 B	0.62 B	0.90 A	0.92 A	0.84 A	0.74 B	5.957
	BRS Guamirim	0.34 A	0.57 A	0.67 B	0.83 B	0.93 A	0.91 A	0.82 A	5.634
	BRS Pardela	0.32 A	0.61 A	0.74 A	0.90 A	0.92 A	0.90 A	0.83 A	6.647
	Mirante	0.37 A	0.54 B	0.76 A	0.90 A	0.93 A	0.85 A	0.73 B	7.031
	Quartzo	0.33 A	0.49 B	0.69 B	0.90 A	0.93 A	0.88 A	0.83 A	6.271

Departamento de Engenharia Agrícola - UFCG Unidade Acadêmica de Engenharia Agrícola, UFCG, Av. Aprígio Veloso 882, Bodocongó, Bloco CM, 1º andar, CEP 58429-140, Campina Grande, PB, Brasil, Tel. +55 83 2101 1056 - Campina Grande - PB - Brazil
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[1] kaducattani@hotmail.com (Corresponding author)