In the drone imagery, E. athericus patches show strong textural patterns when compared to other grass patches (Fig. (Fig.1c).1c). To exploit the textural information, we calculated Structural Feature Set (SFS) texture measures (Huang et al. 2007) based on the RGB imagery. SFS rely on the histograms of the pixels in multiple directions from a central pixel. We computed six parameters based on the histograms: SFS-length, SFS-width, SFS-PSI, SFS-weighted-mean, SFS-ratio, and SFS-SD (standard deviation). The SFS indices are computed from the neighborhood of each pixel. It is possible to change the length of the line (spatial threshold), as well as the maximum difference between a pixel of the line and the pixel at the center of the neighborhood (spectral threshold). Calculations were done using the default values for the command line function “otbcli_SFSTextureExtraction.bat” of the Orfeo Toolbox Software (McInerney and Kempeneers 2015).

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