Assessing hyperspectral vegetation indices responses of six pigweed species

Authors: Fletcher, Reginald

Submitted to: American Journal of Plant Sciences
Publication Type: Peer Reviewed Journal
Publication Acceptance Date: 12/11/2020
Publication Date: 12/14/2020
Citation: Fletcher, R.S. 2020. Assessing hyperspectral vegetation indices responses of six pigweed species. American Journal of Plant Sciences. 11(12):1934-1948. https://doi.org/10.4236/ajps.2020.1112138.
DOI: https://doi.org/10.4236/ajps.2020.1112138

Interpretive Summary: Pigweeds negatively impact crop production systems throughout the world. They are distinguished from each other using manual methods that are tedious and time-consuming to complete. An ARS Scientist at Stoneville, MS determined narrowband remotely sensed vegetation indices designed to measure biophysical and biochemical properties of plants have potential for separating between two to three pigweed species. The study focused on the following pigweeds: Palmer amaranth, redroot pigweed, smooth pigweed, spiny pigweed, waterhemp, and tumble pigweed. Pigweed species separation is affected by date of data collection. Findings support further application of light reflectance properties of plant canopies as tools for weed detection with potential application of this technology in site-specific weed management programs.

Technical Abstract: Pigweeds (Amaranthus species), negatively impact crop production systems throughout the world. They are distinguished from each other using manual methods that are tedious and time-consuming to complete. Hyperspectral light reflectance properties of plant leaves and canopies have shown promise for detecting and mapping weeds in crop production systems. Vegetation indices derived from hyperspectral reflectance data enhance differences between plants, leading to better detection of them from other targets. The objective was to evaluate the biomass and structural index, the biochemical index, the red edge index, the water and moisture index, the light-use efficiency index, and the lignin cellulose index for measuring differences among six pigweed species: Amaranthus albus (L), A. hybridus (L), A. palmeri (S. Wats.), A. retroflexus (L), A. spinosus (L), and A. tuberculatus [(Moq.) Sauer]. Two experiments were conducted under greenhouse conditions. Hyperspectral reflectance measurements were collected from the plant canopies on two dates for each experiment. Analysis of variance (ANOVA) and Tukey’s honest significant difference (HSD) test were used to determine if statistical differences (P = 0.05) existed among the pigweed species canopies and to identify which species were statistically different for a vegetation index, respectively. The ANOVA analysis detected statistical differences among the canopy vegetation index values. Tukey’s HSD showed that the biochemical index and the red edge index detected differences between two to three pigweeds species on all dates of data collection. However, the differences were date-specific. Furthermore, statistical differences were not observed for all six species for any vegetation index. On the data collection dates, A. albus and A. tuberculatus index values were statistically different from other pigweed species for one or more of the vegetation indices. Future research should focus on using the vegetation indices in combination with each other to measure differences between the pigweed species and between them and other weeds and crops.