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| DOI: | 10.1614/IPSM-D-10-00053.1 |
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| Web URL(s): | http://www.bioone.org/doi/full/10.1614/IPSM-D-10-00053.1
Last checked: 09/06/2012
Access conditions: Item is within a limited-access website
http://www.bioone.org/doi/pdf/10.1614/IPSM-D-10-00053.1
Last checked: 08/07/2012
Requires: PDF Reader
Access conditions: Item is within a limited-access website |
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| Publication Type:
| Refereed |
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| Author(s): | Bentivegna, Diego J.;
Smeda, Reid J.;
Wang, Cuizhen |
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| Author Affiliation: | Bentivegna: Research Associate, CERZOS-Center for Renewable Natural Resources of the Semiarid Region, Bahía Blanca, Argentina; Smeda: Associate Professor, Division of Plant Science; Wang: Associate Professor, Department of Geography, University of Missouri, Columbia, MO |
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| Title: | Detecting cutleaf teasel (Dipsacus laciniatus) along a Missouri highway with hyperspectral imagery |
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| Section: | Research
Other records with the "Research" Section
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| Source: | Invasive Plant Science and Management. Vol. 5, No. 2, April-June 2012, p. 155-163. |
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| Publishing Information: | Lawrence, Kansas: Weed Science Society of America |
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| # of Pages: | 9 |
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| Related Web URL: | http://www.bioone.org/doi/abs/10.1614/IPSM-D-10-00053.1
Last checked: 08/07/2012
Notes: Abstract only |
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| Keywords: | TIC Keywords: Dipsacus laciniatus; Hyperspectral radiometry; Roadside plants; Weed infestation
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| Geographic Terms: | Missouri |
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| Abstract/Contents: | "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 κ 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." |
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| Language: | English |
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| References: | 34 |
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| Note: | Includes sidebar, "Interpretative summary", p. 156
Figures
Tables
Graphs |
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| ASA/CSSA/SSSA Citation (Crop Science-Like - may be incomplete):
Bentivegna, D. J., R. J. Smeda, and C. Wang. 2012. Detecting cutleaf teasel (Dipsacus laciniatus) along a Missouri highway with hyperspectral imagery. Invasive Plant Science and Management. 5(2):p. 155-163. |
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| DOI: 10.1614/IPSM-D-10-00053.1 |
| Web URL(s):
http://www.bioone.org/doi/full/10.1614/IPSM-D-10-00053.1
Last checked: 09/06/2012
Access conditions: Item is within a limited-access website
http://www.bioone.org/doi/pdf/10.1614/IPSM-D-10-00053.1
Last checked: 08/07/2012
Requires: PDF Reader
Access conditions: Item is within a limited-access website |
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MSU catalog number: b5621764 |
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