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Web URL(s): | http://www.swss.ws/wp-content/uploads/docs/2003%20Proceedings-SWSS.pdf#page=441 Last checked: 07/16/2013 Requires: PDF Reader Notes: Item is within a single large file |
Publication Type:
| Report |
Author(s): | Barnett, J. W. Jr.;
Byrd, J. D. Jr.;
Bruce, L. M.;
Li, J.;
Mask, D. B.;
Mathur, A.;
Burnell, K. D. |
Author Affiliation: | Department of Plant and Soil Sciences, Mississippi State University, Mississippi State, MS |
Title: | Cogongrass [Imperata cylindrica (L.) Beauv.] can be detected using hyperspectral reflectance data |
Section: | Research posters Other records with the "Research posters" Section
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Meeting Info.: | Houston, Texas: January 27-29, 2003 |
Source: | Proceedings: Southern Weed Science Society: 56th Annual Meeting. Vol. 56, 2003, p. 354. |
Publishing Information: | Champaign, Illinois: Southern Weed Science Society |
# of Pages: | 1 |
Keywords: | TIC Keywords: Classification; Evaluative methods; Hyperspectral radiometry; Imperata cylindrica; Weed identification
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Abstract/Contents: | "In an attempt to correctly differentiate cogongrass from other grassy weeds, cogongrass reflectance data was compared to other perennial grasses, which included, bahiagrass (Paspalum notatum), bermudagrass (Cynodon dactylon), broadleaf signalgrass (Brachiaria platyphylla), broomsedge (Andropogon virginicus), centipedegrass (Eremochloa ophiuroides), dallisgrass (Paspalum dilatatum), johnsongrass (Sorghum halepense), knotroot foxtail (Setaria geniculate), and vaseygrass (Paspalum urvillei). Starting October of 1999, four to five hyperspectral reflectance readings were recorded monthly using a Field Spec Pro FR portable spectroradiometer at each location. These hyperspectral reflectance curves are comprised of over 2150 spectral bands ranging between 350 to 2500 nm at 1.4 nm increments. Various techniques, like one-dimensional discrete wavelet transform (DWT) and Fisher's discriminant method, and Haar mother wavelet were used to differentiate the assorted grassy weeds from cogongrass. For every month evaluated, results were positive. Using the Haar mother wavelet on the October data, both species (cogongrass and all other grassy weeds) were detected with 100% accuracy. Also, using the same method for analyzing February data, cogongrass was correctly classified with 96% accuracy and the other grassy weeds were correctly classified with 100% accuracy. Classification accuracies declined in April (during cogongrass flowering), with 83% accuracy detecting cogongrass and 75% accuracy for the other species. Other classification methods, such as the principal component analysis applied to the same data set, correctly identified cogongrass from the other grassy weeds 48, 86, 69, and 93% during October, February, April and July, respectively. Classification accuracy ranged from 48 to 100%, depending on the method of analysis and classification for cogongrass and other gassy weeds. These results indicate hyperspectral reflectance data can be used to detect and classify cogongrass in areas in which cogongrass as well as additional grassy weeds species coexist." |
Language: | English |
References: | 0 |
Note: | "Invasive weeds: Real or imagined threat?" This item is an abstract only! |
| ASA/CSSA/SSSA Citation (Crop Science-Like - may be incomplete): Barnett, J. W. Jr., J. D. Jr. Byrd, L. M. Bruce, J. Li, D. B. Mask, A. Mathur, et al. 2003. Cogongrass [Imperata cylindrica (L.) Beauv.] can be detected using hyperspectral reflectance data. South. Weed Sci. Soc. Proc. 56:p. 354. |
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| Web URL(s): http://www.swss.ws/wp-content/uploads/docs/2003%20Proceedings-SWSS.pdf#page=441 Last checked: 07/16/2013 Requires: PDF Reader Notes: Item is within a single large file |
| MSU catalog number: b2207931 |
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