Hostname: page-component-74656f9884-g96k6 Total loading time: 0 Render date: 2026-11-10T20:28:01.072Z Has data issue: false hasContentIssue false
  • English
  • Français

Using Spatial Information Technologies to Map Chinese Tamarisk (Tamarix chinensis) Infestations

Published online by Cambridge University Press:  12 June 2017

James H. Everitt ,
David E. Escobar ,
Mario A. Alaniz ,
Michael R. Davis  and
James V. Richerson
James H. Everitt
Affiliation:
Remote Sensing Research Unit, Agric. Res. Serv., U.S. Dept. of Agric., 2413 E. Hwy 83, Weslaco, TX 78596
David E. Escobar
Affiliation:
Remote Sensing Research Unit, Agric. Res. Serv., U.S. Dept. of Agric., 2413 E. Hwy 83, Weslaco, TX 78596
Mario A. Alaniz
Affiliation:
Remote Sensing Research Unit, Agric. Res. Serv., U.S. Dept. of Agric., 2413 E. Hwy 83, Weslaco, TX 78596
Michael R. Davis
Affiliation:
Remote Sensing Research Unit, Agric. Res. Serv., U.S. Dept. of Agric., 2413 E. Hwy 83, Weslaco, TX 78596
James V. Richerson
Affiliation:
Biology Dep., Sul Ross State Univ., Alpine, TX 79831
Get access Rights & Permissions [Opens in a new window]

Abstract

This paper describes the application of airborne video data with global positioning system and geographic information system technologies for detecting and mapping Chinese tamarisk infestations in the southwestern United States. Study areas were along the Colorado River in southwestern Arizona, the Rio Grande River in extreme west Texas, and the Pecos River in west-central Texas. Chinese tamarisk could be readily distinguished on conventional color video imagery in late November when its foliage turned a yellow-orange to orange-brown color prior to leaf drop. The integration of the global positioning system with the video imagery permitted latitude/longitude coordinates of Chinese tamarisk infestations to be recorded on each image. The global positioning system latitude/longitude coordinates were entered into a geographic information system to map Chinese tamarisk populations along the three river systems.

Keywords

Chinese tamarisk, Tamarix chinensis Lour., ♯ TAACHAirborne video imagerygeographic information systemglobal positioning systemremote sensing

Information

Type
Special Topics
Information
Weed Science , Volume 44 , Issue 1 , March 1996 , pp. 194 - 201
Copyright
Copyright © 1996 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.)

Article purchase

Temporarily unavailable

References

Literature Cited

1. Anderson, G. L., Everitt, J. H., Escobar, D. E., Spencer, N. R., and Andrascik, R. J. 1995. Mapping leafy spurge (Euphorbia esula) infestations within Theodore Roosevelt National Park using large format aerial photography and geographic information system technology. Proc. Workshop on Leafy Spurge. National Park Service, Dickinson, ND. pp. 42–57.Google Scholar
2. Baum, B. R. 1967. Introduced and naturalized tamarisks of the United States and Canada. Baileya 15: 19–25.Google Scholar
3. Bobbe, T. J. and Ishikawa, P. 1992. Real-time differential GPS: An aerial survey-remote sensing applications. Proc. Resource Technology 92 Symp., Am. Soc. of Photogramm. and Remote Sensing. Bethesda, MD. pp. 108–116.Google Scholar
4. Deloach, C. J. 1990. Prospects of biological control of saltcedar (Tamarix spp.) in ripariam habitats of the southwestern United States. Proc. 7th Int. Symp. Biol. Control of Weeds. March 6–11, 1988, Rome, Italy. Delfosse, E.E., ed. pp. 307–314.Google Scholar
5. Everitt, J.H., Davis, M. R., and Escobar, D. E. 1995. Three-camera wide angle color video mapping system. Proc. 15th Workshop Color Aerial Photography and Videography in the Plant Sciences. May 2–3, 1995, Indiana State University. Am. Soc. of Photogramm. and Remote Sensing. Bethesda, MD. pp. 231–236.Google Scholar
6. 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
7. 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: 913–921.Google Scholar
8. Everitt, J. H., Escobar, D. E., Alaniz, M. A., Villarreal, R., 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.Google Scholar
9. Everitt, J. H., Richerson, J. V., Escobar, D. E., Alaniz, M. A., Villarreal, R., and Davis, M. R. 1994. Light reflectance characteristics and remote sensing of Big Bend loco (Astragalus mollissimus var. earlei) and Wooton loco (Astragalus wootonii). Weed Sci. 42: 115–122.Google Scholar
10. Horton, J. S. and Campbell, C. J. 1974. Management of phreatophyte and riparian vegetation for maximum multiple use values. USDA For. Serv. Paper RM-117. 23 p.Google Scholar
11. Kerpez, T. A. and Smith, N. S. 1987. Saltcedar control for wildlife habitat improvement in the southwestern United States. USDI, U.S. Fish and Wildl. Serv. Resour. Publ. 169. 16 p.Google Scholar
12. Myhre, R. J. 1992. Use of color airborne videography in the U.S. Forest Service. Proc. Resource Technology 92 Symp., Am. Soc. Photogramm. and Remote Sensing. Bethesda, MD. pp. 145–152.Google Scholar
13. Steel, R. G. D. and Torrie, J. S. 1980. Principles and procedures of statistics. McGraw-Hill Book Co., New York. 481 p.Google Scholar