Hostname: page-component-cd9895bd7-dzt6s Total loading time: 0 Render date: 2024-12-28T05:45:22.816Z Has data issue: false hasContentIssue false

Light Reflectance Characteristics and Remote Sensing of Big Bend Loco (Astragalus mollissimus var. earlei) and Wooton Loco (Astragalus wootonii)

Published online by Cambridge University Press:  12 June 2017

James H. Everitt
Affiliation:
Remote Sensing Res. Unit, Agric. Res. Serv., U.S. Dep. Agric, 2413 E. Hwy 83, Weslaco, TX 78596
James V. Richerson
Affiliation:
Biol. Dep., Sul Ross State Univ., Alpine, TX 79831
Mario A. Alaniz
Affiliation:
Remote Sensing Res. Unit, Agric. Res. Serv., U.S. Dep. Agric, 2413 E. Hwy 83, Weslaco, TX 78596
David E. Escobar
Affiliation:
Remote Sensing Res. Unit, Agric. Res. Serv., U.S. Dep. Agric, 2413 E. Hwy 83, Weslaco, TX 78596
Ricardo Villarreal
Affiliation:
Remote Sensing Res. Unit, Agric. Res. Serv., U.S. Dep. Agric, 2413 E. Hwy 83, Weslaco, TX 78596
Michael R. Davis
Affiliation:
Remote Sensing Res. Unit, Agric. Res. Serv., U.S. Dep. Agric, 2413 E. Hwy 83, Weslaco, TX 78596

Abstract

The high near-infrared reflectance (0.76 to 0.90 μm) of Big Bend loco and Wooton loco contributed significantly to their orange-red and red image tonal responses, respectively, on color-infrared aerial photographs making them distinguishable from associated vegetation and soil. Big Bend loco could also be distinguished on color-infrared and near-infrared black-and-white video imagery where it had distinct red and whitish tonal responses, respectively. Computer analyses of photographic and videographic images showed that Big Bend loco and Wooton loco populations could be quantified from other landscape features. A global positioning system was integrated with the video imagery that permitted latitude-longitude coordinates to appear on each image. The latitude-longitude data were integrated with a geographical information system to map Big Bend loco populations.

Type
Special Topics
Copyright
Copyright © 1994 by the Weed Science Society of America 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Literature Cited

1. Bobbe, T. J. and Ishikawa, P. 1992. Real-time differential GPS: An aerial survey-remote sensing application. Proc. Resource Technol. 92 Symp. Am. Soc. Photogrammetry and Remote Sensing, Bethesda, MD. Pages 108116.Google Scholar
2. Correll, D. S. and Johnston, M. C. 1970. Manual of the vascular plants of Texas. Texas Res. Foundation, Renner, TX. 1881 pp.Google Scholar
3. Everitt, J. H., Alaniz, M. A., Escobar, D. E., and Davis, M. R. 1992. Using remote sensing to distinguish common (Isocoma coronopifolia) and Drummond goldenweed (Isocoma drummondii). Weed Sci. 40:621628.CrossRefGoogle Scholar
4. Everitt, J. H. and Deloach, C. J. 1990. Remote sensing of Chinese tamarisk (Tamarix chinensis) and associated vegetation. Weed Sci. 38:273278.CrossRefGoogle Scholar
5. Everitt, J. H., Escobar, D. E., Alaniz, M. A., Villarreal, R., and Davis, M. R. 1992. Distinguishing brush and weeds on rangelands using video remote sensing. Weed Technol. 6:913921.CrossRefGoogle Scholar
6. Everitt, J. H., Escobar, D. E., Gerbermann, A. H., and Alaniz, M. A. 1988. Detecting saline soils with video imagery. Photogramm. Eng. and Remote Sens. 54:12831287.Google Scholar
7. Everitt, J. H., Escobar, D. E., Villarreal, R., Noriega, J. R., and Davis, M. R. 1991. Airborne video systems for agricultural assessment. Remote Sens. Environ. 35:231242.CrossRefGoogle Scholar
8. Everitt, J. H., Hussey, M. A., Escobar, D. E., Nixon, P. R., and Pinkerton, B. 1986. Assessment of grassland phytomass with airborne video imagery. Remote Sens. Environ. 20:299306.CrossRefGoogle Scholar
9. Everitt, J. H., Ingle, S. J., Gausman, H. W., and Mayeux, H. S. Jr. 1984. Detection of false broomweed by aerial photography. Weed Sci. 32:621624.CrossRefGoogle Scholar
10. 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. 35:295302.CrossRefGoogle Scholar
11. Freeman, M. R., Ueckert, D. N., and Nelson, J. T. 1982. Woolly locoweed and forage response to herbicides in West Texas. Tex. Agric. Exp. Stn. Bull. 1398, Texas A&M Univ., College Station. 9 pp.Google Scholar
12. Gausman, H. W., Everitt, J. H., Gerbermann, A. H., and Bowen, R. L. 1977. Canopy reflectance and film image relations among three south Texas rangeland plants. J. Range Manage. 31:449450.CrossRefGoogle Scholar
13. Gausman, H. W., Menges, R. W., Escobar, D. E., Everitt., J. H. and Bowen, R. L. 1977. Pubescence affects spectra and imagery of silverleaf sunflower (Helianthus argophyllus). Weed Sci. 25:437440.CrossRefGoogle Scholar
14. Gould, F. W. 1975. Texas plants—A checklist and ecological summary. Tex Agric. Exp. Stn., Texas A&M Univ., College Station, TX MP-585.Google Scholar
15. James, L. F., Hartley, W. J., and VanKampen, K. R. 1981. Syndrome of Astragalus poisoning in livestock. J. Am. Vet. Med. Assoc. 178:146150.Google ScholarPubMed
16. James, L. F. and Johnson, A. E. 1976. Some major plant toxicities of the western United States. J. Range Manage. 29:356363.CrossRefGoogle Scholar
17. James, L. F., Keeler, R. F., Johnson, A. E., Williams, M. C., Cronin, E. H., and Olsen, J. D. 1980. Plants poisonous to livestock in the western United States. U.S. Dep. Agric, Agric. Info. Bull. 415. 90 p.Google Scholar
18. Kingsbury, J. M. 1964. Page 307 in Poisonous plants of the United States and Canada. Prentice Hall, Inc., New York.Google Scholar
19. Molyneux, R. J. and James, L. F. 1982. Loco intoxication: indolizidine alkaloids of spotted locoweed (Astragalus lentiginosus). Science 216:190191.CrossRefGoogle ScholarPubMed
20. Myers, V. I. and Allen, W. A. 1968. Electrooptical remote sensing methods as nondestructive testing and measuring techniques in agriculture. Appl. Opt. 7:18181838.CrossRefGoogle ScholarPubMed
21. 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 21112228 in Colwell, Robert N., ed. Manual of Remote Sensing. Am. Soc. Photogramm., Falls Church VA.Google Scholar
22. Myhre, J. R. 1987. Applications of aerial photography to several new and unusual vegetation pest problems. Pages 4953 in Proc. 10th Biennial Workshop on Color Aerial Photography in the Plant Sciences. Am. Soc. Photogramm. and Remote Sens., Falls Church, VA.Google Scholar
23. Myhre, R. J. 1992. Use of color airborne videography in the U.S. Forest Service. Pages 145152 in Proc. Resource Technology 92 Sympos. Am. Soc. Photogramm. and Remote Sens., Bethesda, MD.Google Scholar
24. Ralphs, M. H. 1987. Cattle grazing white locoweed: influence of grazing pressure and palatability associated with phenological growth stage. J Range Manage. 40:330332.CrossRefGoogle Scholar
25. Richardson, A. J. 1981. Measurement of reflectance factors under daily and intermittent irradiance variations. Appl. Opt. 20:13361340.CrossRefGoogle ScholarPubMed
26. Richardson, A. J., Wiegand, C. L., Gausman, H. W., Cuellar, J. A., and Gerbermann, A. H. 1975. Plant, soil, and shadow reflectance components of row crops. Photogramm. Eng. and Remote Sens. 41:14011407.Google Scholar
27. Sperry, O. E., Dollahite, J. W., Hoffman, G. O., and Camp, B. J. 1964. Texas plants poisonous to livestock. Tex. Agric. Exp. Stn. Bull. 1028, Texas A&M Univ., College Station. 59 pp.Google Scholar
28. Steel, R. G. D. and Torrie, J. H. 1980. Pages 107109 in Principles and Procedures of Statistics. McGraw-Hill Book Co., New York.Google Scholar
29. Tucker, C. J. 1979. Red and photographic infrared linear combinations for monitoring vegetation. Remote Sens. Environ. 8:127150.CrossRefGoogle Scholar
30. Tucker, C. J., Jones, W. H., Kley, W. A., and Sunstorm, C. J. 1980. The GSFC Mark-II three band radiometer. NASA Tech. Memo 80641. 8 pp.Google Scholar
31. Tueller, P. T. 1982. Remote sensing for range management. Pages 125140 in Johannsen, C. J. and Sanders, J. L., eds. Remote Sensing in Resource Management. Soil Conserv. Soc. Am., Ankeny, IA.Google Scholar