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Remote Sensing of Broom Snakeweed (Gutierrezia Sarothrae) with Noaa-10 Spectral Image Processing

Published online by Cambridge University Press:  12 June 2017

Albert J. Peters
Affiliation:
Dep. Geogr., New Mexico St. Univ., Las Cruces, NM 88003
Bradley C. Reed
Affiliation:
Dep. Geogr., New Mexico St. Univ., Las Cruces, NM 88003
Marlen D. Eve
Affiliation:
Dep. Geogr., New Mexico St. Univ., Las Cruces, NM 88003
Kirk C. McDaniel
Affiliation:
Dep. An. and Range Sci., New Mexico St. Univ., Las Cruces, NM 88003

Abstract

Low-spatial resolution satellite imagery from the NOAA-10 polar-orbiting meteorological satellite was analyzed to determine if central New Mexico grasslands infested by broom snakeweed could be discriminated from unaffected areas. Distinctive phenological characteristics of broom snakeweed, including an early season growth flush and late season flowering, enable moderate to heavily infested areas to be separated from grasslands having few or no weeds present. The procedure used shows promise as a tool for locating and monitoring brown snakeweed and other weeds growing on shortgrass prairie.

Type
Research
Copyright
Copyright © 1990 by the Weed Science Society of America 

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References

Literature Cited

1. Dewey, S. A., Price, K. P., and Ramsey, D. 1991. Satellite remote sensing to predict potential distribution of Dyers woad (Isatis tinctoria). Weed Technol. 5:479484.Google Scholar
2. Everitt, J. H., Pettit, R. D., and Alaniz, M. A. 1987. Remote sensing of broom snakeweed and spiny aster. Weed Sci. 35:295302.Google Scholar
3. Frank, T. D. 1985. Differentiating semiarid environments using Landsat reflectance indexes. The Prof. Geog. 37:3646.Google Scholar
4. Goward, S. N., Tucker, C. J., and Dye, D. G. 1985. North American vegetation patterns observed with the NOAA-7 advanced very high resolution radiometer. Vegetatio 64:314.Google Scholar
5. Lillesand, T. M. and Kiefer, R. W. 1987. Remote Sensing and Image Interpretation. John Wiley & Sons, New York. 721 p.Google Scholar
6. McDaniel, K. C. 1989. Snakeweed populations in New Mexico, 1978–1989. p. 1325 in Proceedings: Snakeweed: Problems and Perspectives. Agric. Exp. Stn. Bull. 751. New Mexico St. Univ., Las Cruces.Google Scholar
7. National Oceanic and Atmospheric Administration. 1991. NOAA Polar Orbiter Data User's Guide. U. S. Department of Commerce, NOAA, NESDI, NCDC, and the Satellite Data Services Division, Washington, DC. 11 to R-1.Google Scholar
8. Pieper, R. D. and McDaniel, K. C. 1989. Ecology and management of broom snakeweed. p. 112 in Proceedings: Snakeweed: Problems and Perspectives. Agric. Exp. Stn. Bull. 751. New Mexico St. Univ., Las Cruces.Google Scholar
9. Smith, G. S. and Flores-Rodriquez, G. I. 1989; Toxicity of snakeweeds. p. 211219 in Proceedings: Snakeweed: Problems and Perspectives. Agric. Exp. Stn. Bull. 751. New Mexico St. Univ., Las Cruces.Google Scholar
10. Sterling, T. M. 1989. Physiology of broom snakeweed in relation to chemical control. p. 5160 in Proceedings: Snakeweed: Problems and Perspectives. Agric. Exp. Stn. Bull. 751, New Mexico St. Univ., Las Cruces.Google Scholar
11. Torell, L. A., Williams, K., and McDaniel, K. C. 1989. Economics of broom snakeweed control. p. 113140 in Proceedings: Snakeweed: Problems and Perspectives. Agric. Exp. Stn. Bull. 751. New Mexico St. Univ., Las Cruces.Google Scholar
12. Tucker, C. J. and Sellers, P. J. 1986. Satellite remote sensing of primary production. Int. J. Remote Sensing 7:13951416.Google Scholar