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Detection of Yellow Starthistle (Centaurea solstitialis) and Common St. Johnswort (Hypericum perforatum) with Multispectral Digital Imagery

Published online by Cambridge University Press:  12 June 2017

Lawrence W. Lass ,
Hubert W. Carson  and
Robert H. Callihan
Lawrence W. Lass
Affiliation:
Dep. of Plant, Soil, and Entomol. Sci., Univ. of Idaho, Moscow, ID 83844-2339
Hubert W. Carson
Affiliation:
Dep. of Plant, Soil, and Entomol. Sci., Univ. of Idaho, Moscow, ID 83844-2339
Robert H. Callihan
Affiliation:
Dep. of Plant, Soil, and Entomol. Sci., Univ. of Idaho, Moscow, ID 83844-2339
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Abstract

Ground-based surveys to regularly document the size, shape, and location of weed populations usually are not economically feasible. Digital images of vegetation in semiarid rangeland were obtained from four charge-coupled devices with spectral filters mounted in an airplane. The ability to distinguish yellow starthistle and common St. Johnswort from other rangeland vegetation in images with 0.5, 1, 2, and 4 m spatial resolution was assessed. Detection, positioning, and measurements of size and density of yellow starthistle and common St. Johnswort colonies with densities as low as 30% ground cover were possible at all those resolutions. Images indicated yellow starthistle occupied about one-third of a 180-ha study area. Images taken in June indicated 2 to 10 ha less yellow starthistle ranging from 30 to 100% cover than images taken in July for all resolutions. Images indicated common St. Johnswort occupied less than 4 ha of the 180-ha study area. This procedure provides a method to establish baseline plant community composition and a way to monitor species population changes and dispersal over time.

Keywords

Common St. Johnswort Hypericum perforatum L. ♯3HYPPEyellow starthistle Centaurea solstitialis L. CENSOAirborne charge-coupled devicesremote sensingvideographyweed detection
Type
Research
Information
Weed Technology , Volume 10 , Issue 3 , September 1996 , pp. 466 - 474
Copyright
Copyright © 1996 by the Weed Science Society of America 

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References

Literature Cited

1. Anderson, G. L., Everitt, J. H., Richardson, A. J., and Escobar, D. E., 1993. Using satellite data to map false broomweed (Ericameria austrotexana) infestations on south Texas rangelands. Weed Technol. 7:865–871.CrossRefGoogle Scholar
2. Brannon, D.P., Hill, C. L., Davis, B. D., and Birk, R. J. 1994. Commercial remote sensing program. Photogramm. Eng. Remote Sens. 60:317–330.Google Scholar
3. Callihan, R. H., Northam, F. E., Johnson, J. B., Michalson, E. L., and Prather, T. S., 1989. Yellow starthistle, Biology and management in pasture and rangeland. Univ. of Idaho Ext. Publ. Current Info. Ser. 634. p. 4.Google Scholar
4. Callihan, R. H., Prather, T. S., and Northam, F. E. 1993. Longevity of yellow starthistle (Centaurea solstitialis) achenes in soil. Weed Technol. 7:33–35.Google Scholar
5. Campbell, C. L., McCaffrey, J. P., and Homan, H. W. 1987. Collection and redistribution of biological control agents of St. Johnswort. Univ. of Idaho Ext. Publ. Current Info. Ser. 798. p. 4.Google Scholar
6. Campbell, J. B. 1987. Remote sensing applications in the Plant Sciences, p. 384–386 in Campbell, J. B., ed. Introduction to Remote Sensing. Guilford Press, New York.Google Scholar
7. Carson, H.W., Lass, L. W., and Callihan, R. H. 1995. Detection of yellow hawkweed with high resolution digital images. Weed Technol. 9:477–483.Google Scholar
8. Everitt, J. H., Escobar, D. E., Villarreal, R., Alaniz, M. A., and Davis, M. R. 1993. Integration of airborne video, global positioning system and geographic information system technologies for detecting and mapping two woody legumes on rangelands. Weed Technol. 7:981–987.CrossRefGoogle Scholar
9. Everitt, J. H., Alaniz, M. A., and Escobar, D. E. 1992. Using remote sensing to distinguish common (Isocoma coronopifolia) and drummond goldenweed (Isocoma drummondii). Weed Sci. 40:621–628.CrossRefGoogle Scholar
10. Everitt, J. H. and Deloach, C. J. 1990. Remote Sensing of Chinese tamarisk (Tamarix chinensis) and associated vegetation. Weed Sci. 38:273–278.Google Scholar
11. Everitt, J. H., Escobar, D. E., Alaniz, M. A., and Davis, M. R. 1991. Light reflectance characteristics and video remote sensing of pricklypear. J. Range Manage. 44:587–592.Google Scholar
12. Jensen, J. R. 1986. Image enhancement, p. 168–175 in Jensen, J. R., ed. Introductory Digital Image Processing. Prentice-Hall, Englewood Cliffs, NJ.Google Scholar
13. Lass, L. W. and Callihan, R. H. 1993. GIS and GPS for weed surveys and management. Weed Technol. 7:249–254.Google Scholar
14. Lass, L. W., Callihan, R. H., and Northam, F. E. 1992. Effects of pyridine herbicides in combination with atrazine for grass establishment in yellow starthistle habitat. West. Soc. Weed Sci. Res. Prog. Rep. p. I-32–34.Google Scholar
15. Leckie, D. G. and Ostaff, D. P. 1988. Classification of airborne multispectral scanner data for mapping current defoliation caused by the spruce budworm. For. Sci. 34:259–275.Google Scholar
16. Lenzen, T. and Monday, H. M. 1992. Environmental assessment using digital high resolution multispectral image data. Earth Obser. Mag. 1:46–48.Google Scholar
17. Monday, H. M., Urban, J. S., Mulawa, D., and Benkelman, C. A. 1994. City of Irving utilizes high resolution multipsectral imagery for N.P.D.E.S. compliance. Photogramm. Eng. Remote Sens. 60:411–416.Google Scholar
18. Mitich, L. W. 1994. Intriguing world of weeds. Common St. Johnswort. Weed Technol. 8:658–661.CrossRefGoogle Scholar
19. Talbott Roché, C. and Roch, B. F.é. 1993. Identification of knapweeds and starthistles in the Pacific Northwest. Pacific Northwest Ext. Publ. PNW432. p. 22.Google Scholar