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Using Remote Sensing to Distinguish Common (Isocoma coronopifolia) and Drummond Goldenweed (Isocoma drummondii)

Published online by Cambridge University Press:  12 June 2017

James H. Everitt ,
Mario A. Alaniz ,
David E. Escobar  and
Michael R. Davis
James H. Everitt
Affiliation:
Remote Sensing Research Unit, Agric. Res. Serv., U.S. Dep. Agric., 2413 E. Hwy. 83, Weslaco, TX 78596-8344
Mario A. Alaniz
Affiliation:
Remote Sensing Research Unit, Agric. Res. Serv., U.S. Dep. Agric., 2413 E. Hwy. 83, Weslaco, TX 78596-8344
David E. Escobar
Affiliation:
Remote Sensing Research Unit, Agric. Res. Serv., U.S. Dep. Agric., 2413 E. Hwy. 83, Weslaco, TX 78596-8344
Michael R. Davis
Affiliation:
Remote Sensing Research Unit, Agric. Res. Serv., U.S. Dep. Agric., 2413 E. Hwy. 83, Weslaco, TX 78596-8344
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Abstract

Common and Drummond goldenweed are troublesome subshrubs that often invade rangelands in southern Texas. Both species produce a profusion of conspicuous golden-yellow flowers in the fall. Common goldenweed flowers from late September to mid-October, whereas Drummond goldenweed flowers from mid-November to early December. Plant canopy reflectance measurements made on both species showed that they had higher visible (0.63- to 0.69-μm waveband) reflectance than did associated plant species and bare soil during flowering. Flowering common and Drummond goldenweed plants had a yellow image on conventional color (0.40- to 0.70-μm) aerial photographs that made them distinguishable from associated plants and soil. Computer analyses of the conventional color film transparencies showed that common and Drummond goldenweed infestations could be quantified from associated vegetation and soil. Flowering common goldenweed plants could also be detected on conventional color aerial video imagery.

Keywords

Common goldenweed, Isocoma coronopifolia (Gray) Greene #3 IOCCODrummond goldenweed, Isocoma drummondii (T.&G.) Greene, # HAPDRReflectanceconventional color photographycolor-infrared photographyconventional color video imageryrangelandsIOCCOHAPDR
Type
Special Topics
Information
Weed Science , Volume 40 , Issue 4 , December 1992 , pp. 621 - 628
Copyright
Copyright © 1992 by the Weed Science Society of America 

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References

Literature Cited

1. Bowers, S. A. and Hanks, R. J. 1965. Reflection of radiant energy from soils. Soil Sci. 100:130–138.Google Scholar
2. Correll, D. S. and Johnston, M. C. 1970. Page 1579 in Manual of the Vascular Plants of Texas. Tex. Res. Found., Renner, TX.Google Scholar
3. Carneggie, D. M. 1970. Remote sensing: review of principles and research in range and wildlife management. Pages 165–178 in Paulsen, H. A. Jr. and Reid, E. H., eds. Range and Wildlife Habitat Evaluation—A Research Symposium. USDA For. Serv. Misc. Publ. 1147. U.S. Gov. Printing Off., Washington, DC.Google Scholar
4. Driscoll, R. S. and Coleman, M. D. 1974. Color for shrubs. Photogram. Eng. 40:451–459.Google Scholar
5. Everitt, J. H. 1985. Using aerial photography for detecting blackbrush (Acacia rigidula) on South Texas rangelands. J. Range Manage. 38:228–231.Google Scholar
6. Everitt, J. H., Escobar, D. E., Gerbermann, A. H., and Alaniz, M. A. 1988. Detecting saline soils with video imagery. Photogram. Eng. and Remote Sensing 54:1283–1287.Google Scholar
7. Everitt, J. H., Escobar, D. E., and Nixon, P. R. 1987. Near-real-time video systems for rangeland management. Remote Sens. Environ. 23:291–311.Google Scholar
8. Everitt, J. H., Pettit, R. D., and Alaniz, M. A. 1987. Remote sensing of broom snakeweed (Gutierrezia sarothrae) and spiny aster (Aster spinosus). Weed Sci. 35:295–302.Google Scholar
9. Everitt, J. H., Richardson, A. J., and Nixon, P. R. 1986. Canopy reflectance characteristics of succulent and nonsucculent rangeland plant species. Photogram. Eng. and Remote Sensing 52:1891–1897.Google Scholar
10. Everitt, J. H., Richardson, A. J., and Wiegand, C. L. 1981. Inventory of semi-arid rangelands in south Texas with Landsat data. Page 404–415 in Proc. Symp. Machine Processing Remotely Sensed Data. LARS, Purdue Univ., West Lafayette, IN.Google Scholar
11. Everitt, J. H. and Villarreal, R. 1987. Detecting huisache (Acacia farnesiana) and Mexican palo-verde (Parkinsonia aculeata) by aerial photography. Weed Sci. 35:427–432.Google Scholar
12. Hanselka, C. W., Mayeux, H. S. Jr., and Martinez, E. 1981. Ecology and control of goldenweeds. Texas Agric. Ext. Serv. Bull. L-2003. College Station, TX. 4 pp.Google Scholar
13. Mayeux, H. S. Jr. 1982. Vegetative response of goldenweeds and rayless goldenrod to simulated mechanical control. J. Range Manage. 35:704–706.CrossRefGoogle Scholar
14. Mayeux, H. S. Jr. and Scifres, C. J. 1978. Goldenweeds—new perennial range weed problems. Rangelands 5:91–93.Google Scholar
15. Mayeux, H. S. Jr., Drawe, D. L., and Scifres, C. J. 1979. Control of common goldenweed with herbicides and associated forage release. J. Range Manage. 32:271–274.Google Scholar
16. Mayeux, H. S. Jr. and Scifres, C. J. 1981. Drummond's goldenweed and its control with herbicides. J. Range Manage. 34:98–101.Google Scholar
17. Meisner, D. E. 1986. Fundamentals of airborne video remote sensing. Remote Sens. Environ. 19:63–79.Google Scholar
18. Menges, R. J., Nixon, P. R., and Richardson, A. J. 1985. Light reflectance and remote sensing of weeds in agronomic and horticultural crops. Weed Sci. 33:569–581.CrossRefGoogle Scholar
19. Myers, V. I. and Allen, W. A. 1968. Electrooptical remote sensing methods as nondestructive testing and measuring techniques in agriculture. Appl. Opt. 7:1818–1838.Google Scholar
20. Myers, V. I., Bauer, M. E., Gausman, H. W., Hart, W. G., Heilman, J. L., McDonald, R. B., Park, A. B., Ryerson, R. A., Schmugge, T. J., and Westin, F. C. 1983. Remote Sensing in Agriculture. Pages 2111–2228 in Colwell, Robert N., ed. Manual of Remote Sensing. Amer. Soc. Photogrammetry, Falls Church, VA.Google Scholar
21. Richardson, A. J. 1981. Measurement of reflectance factors under daily and intermittent irradiance variations. Appl. Opt. 20:1336–1340.Google Scholar
22. Skidmore, E. L., Dickerson, J. D., and Schimmelpfennig, H. 1975. Evaluating surface-soil water content by measuring reflectance. Soil Sci. Soc. Am. Proc. 39:238–242.Google Scholar
23. Steel, R.G.D. and Torrie, J. H. 1980. Pages 107–109 in Principles and Procedures of Statistics. McGraw-Hill Book Co., New York.Google Scholar
24. Tucker, C. J. 1979. Red and photographic infrared linear combinations for monitoring vegetation. Remote Sens. Environ. 8:127–150.Google Scholar
25. Tucker, C. J., Jones, W. H., Kley, W. A., and Sunstorm, C. J. 1980. The GSFC MARK-II three band hand-held radiometer. NASA Tech. Mem. 80641. 8 p.Google Scholar