Hostname: page-component-7bb8b95d7b-495rp Total loading time: 0 Render date: 2024-09-07T13:28:55.933Z Has data issue: false hasContentIssue false
  • English
  • Français

Weed Eradication Using Geographic Information Systems

Published online by Cambridge University Press:  12 June 2017

Timothy S. Prather  and
Robert H. Callihan
Timothy S. Prather
Affiliation:
Univ. of Calif., Parlier, CA 93648 Dep. Plant, Soils, Entomol. Sci., Univ. Id., Moscow, ID 83843
Robert H. Callihan
Affiliation:
Dep. Plant, Soils, Entomol. Sci., Univ. Id., Moscow, ID 83843
Get access Rights & Permissions [Opens in a new window]

Abstract

A Geographic Information System (GIS) was developed to evaluate its utility in an eradication program of common crupina. Infested areas were recorded in the GIS along with information normally found on United States Geological Survey topographic maps. Infested areas were separated into management areas according to possible treatment method and special environmental or health requirements such as proximity to streams or inhabited buildings. The location, size, and type of each management area were recorded in the database. The database was constructed to maintain treatment and efficacy data for tracking the process of eradication for each infestation. Areas were identified for detection surveying, including coordinates for navigating with a global positioning system (GPS).

Keywords

Common crupina, Crupina vulgaris Cass. # CJNVUSatellite imageryvegetation mappingcommon crupinaCJNVU
Type
Symposium
Information
Weed Technology , Volume 7 , Issue 1 , March 1993 , pp. 265 - 269
Copyright
Copyright © 1993 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. CNES. 1984. SPOT Satellite-Based Remote Sensing System. Toulouse, France: Centre National d'Etudes Spatiales.Google Scholar
2. Dewey, S. A., Price, K. P., and Ramsey, D. 1991. Satellite remote sensing to predict potential distribution of dyer's woad (Isatis tinctoria). Weed Technol. 5:479–484.Google Scholar
3. 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
4. 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
5. Lass, L. W. and Callihan, R. H. 1992. GPS and GIS for Weed Surveys and Management. Weed Technol. (in press).Google Scholar
6. Marx, R. W. 1990. The Census Bureau's TIGER System. Cartogr. and Geogr. Inform. Syst. 17:17–89.Google Scholar
7. NOAA. 1975 to 1985. Landsat Data Users Notes. NOAA Landsat Customer Services, Mundt Federal Building, Sioux Falls, SD 57198.Google Scholar
8. SAS Institute. 1985. SAS user's guide: Statistics. SAS Institute, Inc., Cary, NC.Google Scholar
9. User Services Branch. 1988. Digital Line Graphs from 1:100 000 scale maps, Data Users Guide 2 (G.I.S.) Software. National Cartographic Center, Reston, VA.Google Scholar
10. Zamora, D. L., Thill, D. C., and Eplee, R. E. 1989. An eradication plan for plant invasions. Weed Technol. 3:2–12.Google Scholar
11. Zamora, D. L., Thill, D. C., and Eplee, R. E. 1989. Eradication manual for common crupina (Cuprina vulgaris). Univ. Id., Coll. Agric., Bull. No. 701.Google Scholar