Detecting Cutleaf Teasel (Dipsacus laciniatus) along a Missouri Highway with Hyperspectral Imagery

• Autores: Bentivegna, Diego Javier; Smeda, Reid J.; Wang, Cuizhen
• Año de publicación: 2012
• Idioma: inglés
• Tipo de recurso: artículo
• Materia: Roadside; Hyperspectral Remote Sensing; Weed Detection
• Institución: Consejo Nacional de Investigaciones Científicas y Técnicas

Cutleaf teasel is an invasive, biennial plant that poses a significant threat to native species along roadsides in Missouri. Flowering plants, together with understory rosettes, often grow in dense patches. Detection of cutleaf teasel patches and accurate assessment of the infested area can enable targeted management along highways. Few studies have been conducted to identify specific species among a complex of vegetation composition along roadsides. In this study, hyperspectral images (63 bands in visible to near-infrared spectral region) with high spatial resolution (1 m) were analyzed to detect cutleaf teasel in two areas along a 6.44-km (4-mi) section of Interstate I-70 in mid Missouri. The identified classes included cutleaf teasel, bare soil, tree/shrub, grass/other broadleaf plants, and water. Classification of cutleaf teasel reached a user’s accuracy of 82 to 84% and a producer’s accuracy of 89% in the two sites. The conditional k value was around 0.9 in both sites. The image-classified cutleaf teasel map provides a practical mechanism for identifying locations and extents of cutleaf teasel infestation so that specific cutleaf teasel management techniques can be implemented.
Fil: Bentivegna, Diego Javier. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Bahía Blanca. Centro de Recursos Naturales Renovables de la Zona Semiárida(i); Argentina. University Of Missouri; Estados Unidos
Fil: Smeda, Reid J.. University Of Missouri; Estados Unidos
Fil: Wang, Cuizhen. University Of Missouri; Estados Unidos