Delineating wetland vegetation species using a UAV-mounted multi-spectral camera and computer-aided classification
DOI :
https://doi.org/10.17307/wsc.v1i1.366Mots-clés :
UAV, multispectral camera, wetland vegetation, classification, stormwater ponds, ArcGIS, MetaShapeRésumé
Agricultural runoff can be harmful to the environment by increasing soil erosion and flooding, while adding excess nutrients such as phosphorus to downstream waterways. Stormwater detention ponds are a common way to mitigate flood risk and improve water quality in urban areas. This concept has since been adapted to protect susceptible areas downstream of agriculture. Wetland vegetation can be planted around these ponds to uptake nutrients and slow water flow. Vegetation mapping is a frequent practice within land management to monitor health and species distribution. This process could be less labor-intensive if paired with the use of aerial imagery and computer-aided classification. Unmanned Aerial Vehicle (UAV) acquired imagery allows for high temporal and spatial resolutions that can map the environment in high detail and accuracy. Here we present a detailed workflow for species-level mapping from data acquisition in the field through image processing and analysis.
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