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

Paper Introduction

Remote sensing applications in agriculture are presented as a very promising reality, but research is still needed for the correct use of spectral data. A study was done to evaluate the spectral-temporal patterns of eleven wheat cultivars (Triticum aestivum L.). 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 factors were correlated. 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.^[1]

Figure 1: Minimum temperature (Tmin), maximum temperature (Tmax) and rainfall along the experiment in the days after sowing (DAS)

Figure 2: Spectral reflectance of the wheat cultivars at the Feekes growth stage 10.1.

References

[1] Cattani, Carlos E. V., Garcia, Murilo R., Mercante, Erivelto, Johann, Jerry A., Correa, Marcus M., & Oldoni, Lucas V.. (2017). Spectral-temporal characterization of wheat cultivars through NDVI obtained by terrestrial sensors. Revista Brasileira de Engenharia Agrícola e Ambiental, 21(11), 769-773. https://dx.doi.org/10.1590/1807-1929/agriambi.v21n11p769-773

Paper Introduction

References

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