Potential for remote sensing to detect and predict herbicide injury on waterhyacinth (Eichhornia crassipes)

Invasive Plant Science and Management

Volumn 3, Issue 4, 2010, Pages 440-450

  Robles, Wilfredo ^b   Madsen, John D ^a   Wersal, Ryan M ^a  

^a MISSISSIPPI STATE UNIVERSITY   (United States)

^b UNIVERSITY OF PUERTO RICO   (Puerto Rico)

Author keywords

aquatic plant management; invasive plant; Landsat 5 TM; phytotoxicity; reflectance; spectral bands

Indexed keywords

EICHHORNIA; EICHHORNIA CRASSIPES;

EID: 78650204111     PISSN: 19397291     EISSN: 1939747X     Source Type: Journal    
DOI: 10.1614/IPSM-D-09-00040.1     Document Type: Article

References (40)

1. Adcock, T. E., R. W. Nutter, Jr, and P. A. Banks. 1990. Measuring herbicide injury to soybeans (Glycine max) using a radiometer. Weed Sci. 38:625-627.
2. Best, R. G., M. E. Wehde, and R. L. Linder. 1981. Spectral reflectance of hydrophytes. Remote Sens. Environ. 11:27-35.
3. Boochs, F., G. Kupfer, K. Dockter, and W. Kühbauch. 1990. Shape of the red edge as vitality indicator for plants. Int. J. Remote Sens. 11:1741-1753.
4. Carter, G. A. 1991. Primary and secondary effects of water content on the spectral reflectance of leaves. Am. J. Bot. 78:916-924.
5. Carter, G. A. 1993. Responses of leaf spectral reflectance to plant stress. Am. J. Bot. 80:239-243.
6. Carter, G. A. and A. K. Knapp. 2001. Leaf optical properties in higher plants: linking spectral characteristics to stress and chlorophyll concentration. Am. J. Bot. 88:677-684.
7. Center, T. D. and N. R. Spencer. 1981. The phenology and growth of water hyacinth in a eutrophic north-central Florida lake. Aquat. Bot. 10:1-32.
8. Everitt, J. H., D. Flores, C. Yang, and M. R. Davis. 2005. Assessing biological control damage of giant salvinia with field reflectance measurements and aerial photography. J. Aquat. Plant Manage. 43:76-80.
9. Everitt, J. H., C. Yang, R. J. Helton, L. H. Hartmann, and M. R. Davis. 2002. Remote sensing of giant salvinia in Texas waterways. J. Aquat. Plant Manage. 40:11-16.
10. Filella, I. and J. Peñuelas. 1994. The red edge position and shape as indicators of plant chlorophyll content, biomass and hydric status. Int. J. Remote Sens. 15:1459-1470.
11. Gates, D. M., H. J. Keegan, J. C. Schleter, and V. R. Weidner. 1965. Spectral properties of plants. Appl. Optics 4:11-20.
12. Gausman, H. W. 1974. Leaf reflectance of near infrared. Photogramm. Eng. Remote Sens. 40:183-191.
13. Godfrey, R. K. and J. W. Wooten. 1979. Aquatic and Wetland Plants of Southeastern United States-Monocotyledons. Athens, GA: University of Georgia Press. 712 p.
14. Henry, W. B., D. R. Shaw, K. R. Reddy, L. M. Bruce, and H. D. Tamhankar. 2004. Remote sensing to detect herbicide drift on crops. Weed Technol. 18:358-368.
15. Hickman, M. V., J. H. Everitt, D. E. Escobar, and A. J. Richardson. 1991. Aerial photography and videography for detecting and mapping dicamba injury patterns. Weed Technol. 5:700-706.
16. Holm, L. G., D. L. Plucknett, J. V. Pancho, and J. P. Herberger. 1991. The World's Worst Weeds; Distribution and Biology. Malabar, FL: Krieger. 609 p.
17. Honnell, D. R., J. D. Madsen, and R. Michael Smart. 1993. Effects of Selected Exotic and Native Aquatic Plant Communities on Water Temperature and Dissolved Oxygen. Vicksburg, MS: U. S. Army Corps of Engineers, Environmental Laboratory, Information Bulletin A-93-2. December 1993. 8 p.
18. Jakubauskas, M. E., D. L. Peterson, S. W. Campbell, F. deNoyelles, Jr., S. D. Campbell, and D. Penny. 2002. Mapping and monitoring invasive aquatic plant obstructions in navigable waterways using satellite multispectral imagery. Pages 105-114 in Conference Proceedings, Pecora 15/LandSatellite Information IV/ISPRS Commission I/FIEOS. Denver, CO.
19. Jensen, J. R. 2000. Remote Sensing of the Environment: An Earth Resource Perspective. Upper Saddle River, NJ: Prentice Hall. 544 p.
20. Joyce, J. C. and W. T. Haller. 1984. Effect of 2, 4-D and gibberellic acid on waterhyacinths under operational conditions. J. Aquat. Plant Manag. 22:75-78.
21. Langeland, K. A., O. N. Hill, T. J. Koschnick, and W. T. Haller. 2002. Evaluation of a new formulation of Reward landscape and aquatic herbicide for control of duckweed, waterhyacinth, waterlettuce, and hydrilla. J. Aquat. Plant Manag. 40:51-53.
22. Lehmann, A. and J. B. Lachavanne. 1997. Geographic information systems and remote sensing in aquatic botany. Aquat. Bot. 58:195-207.
23. Madsen, J. D. 1993. Growth and biomass allocation patterns during waterhyacinth mat development. J. Aquat. Plant Manag. 31:134-137.
24. Madsen, J. D. and J. A. Bloomfield. 1993. Aquatic vegetation quantification symposium: an overview. Lake Reserv. Manag. 7:137-140.
25. McVea, C. and C. E. Boyd. 1975. Effects of waterhyacinth cover on water chemistry, phytoplankton, and fish in ponds. J. Environ. Qual. 4:375-378.
26. Miura, T., A. Huete, H. Yoshioka, and H. Kim. 2002. An application of airborne hyperspectral and EO-1 Hyperion data for inter-sensor calibration of vegetation indices for regional-scale monitoring. Pages 3118-3120 in Conference Proceedings International Geoscience and Remote Sensing Symposium (IGARSS). Toronto, Canada.
27. Murtha, P. A. 1978. Remote sensing and vegetation damage: a theory for detection and assessment. Photogramm. Eng. Remote Sens. 44:1147-1158.
28. [NASA] National Aeronautic and Space Agency. 2008. Landsat 7, Science Data Users Handbook; Instrument Calibration. http://landsathandbook.gsfc.nasa. gov/handbook/handbook-htmls/chapter8/chapter8.html. Accessed June 12, 2008.
29. Nelson, L. S., J. G. Skogerboe, and K. D. Getsinger. 2001. Herbicide evaluation against giant salvinia. J. Aquat. Plant Manag. 39:48-53.
30. Nutter, F. W., Jr., R. H. Littrell, and T. B. Brenneman. 1990. Utilization of a multispectral radiometer to evaluate fungicide efficacy to control late leaf spot in peanut. Phytopathology 80:102-108.
31. Penfound, W. T. and T. T. Earle. 1948. The biology of the waterhyacinth. Ecol. Monogr. 18:447-472.
32. Peñuelas, J., J. A. Gamon, K. L. Griffin, and C. B. Field. 1993. Assessing community type, plant biomass, pigment composition, and photosynthetic efficiency of aquatic vegetation from spectral reflectance. Remote Sens. Environ. 46:110-118.
33. Senseman, S. A., ed. 2007. Herbicide Handbook. 9th ed. Lawrence, KS: Weed Science Society of America. 458 p.
34. Spencer, D., A. Sher, D. Thornby, P. Liow, G. Ksander, and W. Tan. 2007. Non-destructive assessment of Arundo donax (Poaceae) leaf quality. J. Freshw. Ecol. 22:277-285.
35. Thelen, K. D., A. N. Kravchenko, and C. D. Lee. 2004. Use of optical remote sensing for detecting herbicide injury in soybean. Weed Technol. 18:292-297.
36. Toft, J. D., C. A. Simenstad, J. R. Cordell, and L. F. Grimaldo. 2003. The effects of introduced water hyacinth on habitat structure, invertebrate assemblages, and fish diets. Estuaries 26:746-758.
37. Ustin, S. L., A. A. Gitelson, S. Jacquemoud, M. Schaepman, G. P. Asner, J. A. Gamon, and P. Zarco-Tejada. 2009. Retrieval of foliar information about plant pigment systems from high resolution spectroscopy. Remote Sens. Environ. 113: S67-S77.
38. Van, T. K., V. V. Vandiver Jr, and R. D. Conant Jr. 1986. Effect of herbicide rate and carrier volume on glyphosate phytotoxicity. J. Aquat. Plant Manag. 24:66-69.
39. Willard, C. J. 1958. Rating scales for weed control experiments. Weeds 6:327-328.
40. Wunderlich, W. E. 1962. History of water hyacinth control in Louisiana. Hyacinth Control J. 1:14-16.