Preprint Communication Version 1 Preserved in Portico This version is not peer-reviewed

A Simple Drone Survey and Image Processing Approach to Identifying St. John's Wort (Hypericum Perforatum) on Grazing Land in the Hunter Valley NSW, Australia

Version 1 : Received: 7 January 2023 / Approved: 9 January 2023 / Online: 9 January 2023 (06:48:13 CET)

How to cite: Lucas, S.A. A Simple Drone Survey and Image Processing Approach to Identifying St. John's Wort (Hypericum Perforatum) on Grazing Land in the Hunter Valley NSW, Australia. Preprints 2023, 2023010144. https://doi.org/10.20944/preprints202301.0144.v1 Lucas, S.A. A Simple Drone Survey and Image Processing Approach to Identifying St. John's Wort (Hypericum Perforatum) on Grazing Land in the Hunter Valley NSW, Australia. Preprints 2023, 2023010144. https://doi.org/10.20944/preprints202301.0144.v1

Abstract

This paper presents a simple drone survey and image processing approach to identifying St. John's wort (Hypericum perforatum) on grazing land in the Hunter Valley NSW, Australia. St John’s wort is an invasive species (weed) that competes with pasture, poisons livestock, can downgrade wool with ‘vegetable fault’, and decreases property values. Identifying the locations of St John wort from the ground can be difficult due to topography, limited access, and/or larger land areas of mixed vegetation. In this study, a drone was used to survey a 174-ha grazing property in the Hunter Valley NSW (Australia). The images were stitched together using commercially available software. A unique Visual Atmospheric Resistance Index (VARI) attribute was identified and used to highlight the presence of St John’s wort in the survey area. These sub-areas were then digitised onto high resolution maps for future planning use by land managers.

Keywords

drone surveys; weed management; weed mapping; VARI; St John’s wort

Subject

Environmental and Earth Sciences, Environmental Science

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