An ArcGIS Pro workflow to extract vegetation indices from aerial imagery of small‐plot turfgrass research

Collection of multispectral imagery from an aerial sensor is a means to obtain plot-level vegetation index (VI) values; however, postcapture image processing and analysis remains challenge for small-plot researchers. An ArcGIS Pro workflow two task items was developed with established routines commands extract VI values (normalized difference [NDVI], ratio [RVI], chlorophyll index–red edge [CI-RE]) turfgrass experiments. Users can access download the Online platform use in Pro. The standardizes ensure repeatability between sampling dates across site locations. A guided saves time assigned commands, ultimately allowing users table plot descriptions within .csv file statistical analysis. used analyze research study evaluating herbicide effects on St. Augustinegrass [Stenotaphrum secundatum (Walt.) Kuntze] grow-in. To compare methods, were extracted same by TurfScout, LLC obtained handheld sensor. Index three methods correlated visual percentage cover determine sensitivity (i.e., ability detect differences) different methodologies. collected more sensitive than those imagery. generally extraction method, but both detected similar trends increasing as increased.