Forestry Data Specialist—Vegetation and Tree Species Labeling
Segmentation
Processed and annotated high-resolution drone and satellite imagery using ArcMap for forestry AI training datasets. Labeled tree species, vegetation types, and forest health indicators to support ecological monitoring and machine learning model validation. Conducted on-site validation and refined annotation protocols to achieve high labeling accuracy for vegetation classification. • Used ArcMap and remote sensing data to segment and label geospatial images. • Identified forest boundaries, stand structures, and environmental stress indicators. • Collaborated with teams to ensure annotations matched AI project objectives. • Maintained annotation accuracy above 95% for training robust AI models.
Processed and annotated high-resolution drone and satellite imagery using ArcMap for forestry AI training datasets. Labeled tree species, vegetation types, and forest health indicators to support ecological monitoring and machine learning model validation. Conducted on-site validation and refined annotation protocols to achieve high labeling accuracy for vegetation classification. • Used ArcMap and remote sensing data to segment and label geospatial images. • Identified forest boundaries, stand structures, and environmental stress indicators. • Collaborated with teams to ensure annotations matched AI project objectives. • Maintained annotation accuracy above 95% for training robust AI models.
2005 - Present