Leafy spurge (Euphorbia esula) classification performance using hyperspectral and multispectral sensors

Rangeland Ecology and Management

Volumn 62, Issue 1, 2009, Pages 16-27

  Mitchell, Jessica J ^a,b   Glenn, Nancy F ^a  

^a Nucl Eng Idaho State University   (United States)

^b Idaho State University Boise ^*  (United States)

Author keywords

Detection limits; HyMap; Invasive weeds; Mixture turned matched filtering; Remote sensing

Indexed keywords

DICOTYLEDON; INVASIVE SPECIES; LANDSAT THEMATIC MAPPER; MULTISPECTRAL IMAGE; REMOTE SENSING; SENSOR; WEED;

IDAHO; NORTH AMERICA; UNITED STATES;

EUPHORBIA; EUPHORBIA ESULA;

EID: 61949472339     PISSN: 15507424     EISSN: None     Source Type: Journal    
DOI: 10.2111/08-100     Document Type: Article

References (60)

1. ADLER-GOLDEN, S. M., M. W. MATTHEW, L. S. BERNSTEIN, R. Y. LEVINE, A. BERK, S. C. RICHTSMEIER, P. K. ACHARYA, G. P. ANDERSON, G. FELDE, J. GARDNER, M. HOKE, L. S. JEONG, B. PUKALL, A. RATKOWSKI, AND H.-H. BURKE. 1999. Atmospheric correction for short-wave spectral imagery based on MODTRAN4. In: M. R. Descour and S. S. Shen [EDS.]. Imaging Spectrometry V (Proceedings); 19-21 July 1999. Denver, CO, USA: SPIE - International Society for Optical Engineering, Vol. 3753. p. 61-69.
2. ANDERSON, G. L., E. S. DELFOSSE, N. R. SPENCER, C. W. PROSSER, AND R. D. RICHARD. 2003. Lessons in developing successful invasive weed control programs. Journal of Range Management 56:2-12.
3. ANDERSON, G. L., J. H. EVERITT, D. E. ESCOBAR, N. R. SPENCER, AND R. J. ANDRASCIK. 1996. Mapping leafy spurge (Euphorbia esula) infestations using aerial photography and geographic information systems: Geocarto Internationa 11:81-89.
4. ANDERSON, G. L., C. W. PROSSER, S. HAGGER, AND B. FOSTER. 1999. Change detection of leafy spurge infestations using aerial photography and geographic information systems. In: Proceedings of the 17th Annual Biennial Workshop on Color Aerial Photography and Videography in Natural Resource Assessment; 5-7 May 1999; Reno, NV, USA. Bethesda, MD, USA: American Society for Photogrammetric Engineering and Remote Sensing. p. 223-230.
5. ASPINALL, R. J., W. A. MARCUS, AND J. W. BOARDMAN. 2002. Considerations in collecting, processing, and analyzing high spatial resolution hyperspectral data for environmental investigations. Journal of Geographical Systems 4:15-29.
6. [ATREM] ATMOSPHERE REMOVAL PROGRAM [computer program]. 1992. Version 1.1. Boulder, CO, USA: Center for the Study of Earth from Space, University of Colorado.
7. BAKKE, A. L. 1936. Leafy spurge: Euphorbia esula. Ames, IA, USA: Iowa State University, Iowa Agricultural Experiment Research Station Bulletin 198.
8. BOARDMAN, J. W. 1998. Leveraging the high dimensionality of AVIRIS data for improved sub-pixel target unmixing and rejection of false positives: mixture tuned matched filtering. In: R. O. Green [ED.]. Summaries of the Seventh JPL Airborne Earth Science Workshop. Pasadena, CA, USA: NASA Jet Propulsion Laboratory, JPL Publication 97-1. p. 55-56.
9. BONHAM, C. D. 1989. Measurements of terrestrial vegetation. New York, NY, USA: John Wiley & Sons. 339 p.
10. BOOTH, B. D., S. D. MURPHY, AND C. J. SWANTON. 2003. Weed ecology in natural and agricultural ecosystems. Cambridge, MA, USA: CABI Publishing. 303 p.
11. BOWES, G. G., AND A. G. THOMAS. 1978. Longevity of leafy spurge seeds in the soil following various control programs. Journal of Range Management 31:137-140.
12. COCKS, T., R. JENSSEN, A. STEWART, I. WILSON, AND T. SHIELDS. 1998. The HyMap™ hyperspectral sensor: the system, calibration, and performance. In: M. Schaepman, D. Schläpfer, and K. I. Itten [EDS.]. Proceedings of the 1st European Association of Remote Sensing Labs (EARSeL) Workshop on Imaging Spectroscopy; 6-8 October 1998; Zurich, Switzerland. Paris, France: EARSeL. p. 37-43.
13. CONGALTON, R. G. 2004. Putting the map back in map accuracy assessment. In: R. S. Lunetta and J. G. Lyon [EDS.]. Remote sensing and GIS accuracy assessment. Boca Raton, FL, USA: CRC Press. p. 1-11.
14. CONGALTON, R. G., AND K. GREEN. 1999. Assessing the accuracy of remotely sensed data: principles and practices. Boca Raton, FL, USA: Lewis Publishers. 137 p.
15. DAUBENMIRE, R. F. 1959. A canopy-coverage method. Northwest Science 33:43-64.
16. DUDEK, K. B., R. R. ROOT, R. F. KOKALY, AND G. L. ANDERSON. 2004. Increased spatial and temporal consistency of leafy spurge maps from multidate AVIRIS imagery: ahybrid linear spectral mixture analysis/mixture-tuned matched filtering approach. In: Proceedings of the 13th JPL Airborne Earth Science Workshop; 21 March-2 April 2004. Pasadena, CA, USA: NASA Jet Propulsion Laboratory.
17. ELZINGA, C. L., D. W. SLAZER, AND J. W. WILLOUGHBY. 1998. Measuring and monitoring plant populations. BLM Technical Reference 1730-1, BLM/RS/ST-98/ 005+1730. Denver, CO, USA: US Bureau of Land Management. p. 178-194.
18. EVERITT, J. H., D. E. ESCOBAR, AND M. R. DAVIS. 1995. Using remote sensing for detecting and mapping noxious plants. Weed Abstracts 44:639-649.
19. EVERITT, J. H., AND C. YANG. 2004. Using Quickbird satellite imagery to distinguish two noxious weeds in southern Texas. In: J. D. Green [ED.]. Proceedings of the 10th Forest Service Remote Sensing Conference; 5-9 April 2004. Salt Lake City, UT, USA: American Society of Photogrammetry and Remote Sensing.
20. FLOYD, D. A., AND J. E. ANDERSON. 1982. A new point interception frame for estimating cover of vegetation. Vegetatio 50:185-186.
21. FOODY, G. M. 2004. Thematic map comparison: evaluating the statistical significance of differences in classification accuracy. Photogrammetric Engineering and Remote Sensing 70:627-633.
22. GAO, B., AND A. F. H. GOETZ. 1990. Column atmospheric water vapor and vegetation liquid water retrievals from airborne imaging spectrometer data. Journal of Geophysical Research 95:3549-3564.
23. GAO, X., AND A. R. HUETE. 2000. Validation of MODIS land surface reflectance and vegetation indices with multi-scale high spatial resolution data. In: Proceedings of the International Geoscience and Remote Sensing Symposium; 24-28 July 2000; Honolulu, HI, USA. p. 533-535.
24. GLENN, N. F., J. T. MUNDT, K. T. WEBER, T. S. PRATHER, L. W. LASS, AND J. PETTINGILL. 2005. Hyperspectral data processing for repeat detection of small infestations of leafy spurge. Remote Sensing of Environment 95:399-412.
25. GOETZ, A. F. H., G. VANE, J. E. SOLOMON, AND B. N. ROCK. 1985. Imaging spectrometry for earth remote sensing. Science 228:1147-1153.
26. GREEN, A. A., M. BERMAN, P. SWITZER, AND M. D. CRAIG. 1988. A transformation for ordering multispectral data in terms of image quality with implications for noise removal: IEEE Transactions on Geoscience and Remote Sensing 26:65-74.
27. HANSON, H. C., AND V. E. RUDD. 1933. Leafy spurge life history and habits. Fargo, ND, USA: North Dakota Agricultural College, Agricultural Experiment Station, Bulletin 266.
28. HARSANYI, J. C. 1993. Detection and classification of subpixel spectral signatures in hyperspectral image sequences [dissertation]. Baltimore, MD, USA: University of Maryland. 116 p.
29. HARSAYNI, J. C., AND CHEIN-I CHANG. 1994. Hyperspectral image classification and dimensionality reduction: an orthogonal subspace projection approach. IEEE Transactions on Geoscience and Remote Sensing 32:779-784.
30. HEIN, D. G., AND S. D. MILLER. 1992. Influence of leafy spurge on forage utilization by cattle. Journal of Range Management 45:405-407.
31. HUNT, E. R., JR., J. E. MCMURTREY, A. E. PARKER WILLIAMS, AND L. A. CORP. 2004. Spectral characteristics of leafy spurge (Euphorbia esula) leaves and flower bracts. Weed Science 52:492-497.
32. HUNT, E. R., AND A. E. PARKER WILLIAMS. 2006. Detection of flowering leafy spurge with satellite multispectral imagery. Rangeland Ecology and Management 59:494-499.
33. JENSEN, J. R. 2005. Introductory digital image processing: a remote sensing perspective. Upper Saddle River, NJ, USA: Prentice Hall. 526 p.
34. JOHNSON, D. E. 1999. Surveying, mapping, and monitoring noxious weeds on rangelands. In: R. L. Shelley and J. K. Petroff [EDS.]. Biology and management of noxious rangeland weeds. Corvallis, OR, USA: Oregon State University Press. p. 19-35.
35. KRUSE, F. A. 2003. Preliminary results - hyperspectral maps of coral reef systems using EO-1 Hyperion, Buck Island, U.S. Virgin Islands. In: Proceedings of the 12th JPL Airborne Geoscience Workshop. Pasadena, CA, USA: Jet Propulsion Laboratory, NASA Publication 04-6. p. 157-173.
36. KRUSE, F. A., J. W. BOARDMAN, A. B. LEFTKOFF, J. M. YOUNG, AND K. S. KIEREIN-YOUNG. 2000. HyMap: an Australian hyperspectral sensor solving global problems - results from the USA HyMap data acquisitions. In: Proceedings of the 10th Australian Remote Sensing and Photogrammetry Conference. Adelaide, Australia: Casual Productions (CD-ROM).
37. KRUSE, F., A. LEFKOFF, J. BOARDMAN, K. HEIDEBRECHT, A. SHAPIRO, P. BARLOON, AND A. GOETZ. 1993. The Spectral Image Processing System (SIPS) - interactive visualization and analysis of imaging spectrometer data. Remote Sensing of Environment 44:145-163.
38. KUTSER, T., A. G. DEKKER, AND W. SKIRVING. 2003. Modeling spectral discrimination of Great Barrier Reef benthic communities by remote sensing instruments. Limnology and Oceanography 48:497-510.
39. LAMB, D. W., AND R. B. BROWN. 2001. Remote sensing and mapping of weeds in crops. Journal of Agricultural Engineering 78:117-125.
40. LEWIS, M., V. JOOSTE, AND A. DE GASPARIS. 2000. Hyperspectral discrimination of arid vegetation. In: Proceedings of the 28th International Symposium on Remote Sensing of Environment; 27-31 March 2000; Cape Town, South Africa, p. 148-151.
41. LODGE, D. M., S. L. WILLIAMS, H. MACISAAC, K. HAYES, B. LEUNG, S. REICHARD, R. N. MACK, P. B. MOYLE, M. SMITH, D. A. ANDOW, J. T. CARLTON, AND A. MCMICHAEL. 2005. Biological invasions: recommendations for U.S. policy and management. Position paper of the Ecological Society of America. Available at: http://esa.org/ pao/policyStatements/pdfDocuments/bioIvasions2006.pdf. Accessed 9 April 2008.
42. MARKHAM, B. L., AND R. G. TOWNSEND. 1981. Land cover classification accuracy as a function of sensor spatial resolution. In: Proceedings of the 15th International Remote Sensing of the Environment; 11-15 May 1981. Ann Arbor, MI, USA: University of Michigan Press. p. 1075-1090.
43. MLADINICH, C. S., M. R. BUSTOS, S. STITT, R. ROOT, K. BROWN, G. L. ANDERSON, AND S. HAGER. 2006. The use of Landsat 7 Enhanced Thematic Mapper Plus for mapping leafy spurge. Rangeland Ecology & Management 59:500-506.
44. MUNDT, J., N. GLENN, K. WEBER, AND J. PETTINGILL. 2006. Determining target detection limits and accuracy delineation using an incremental technique. Remote Sensing of Environment 105:34-40.
45. MUNDT, J. T., D. R. STREUTKER, AND N. F. GLENN. 2007. Partial unmixing of hyperspectral imagery: theory and methods. In: Proceedings of the American Society of Photogrammetry and Remote Sensing; 2007. Tampa, FL, USA: American Society of Photogrammetry and Remote Sensing.
46. OLSON, B. E. 1999. Impacts of noxious weeds on ecologic and economic systems. In: R. L. Shelley and J. K. Petroff [EDS.]. Biology and management of rangeland weeds. Corvallis, OR, USA: Oregon State University Press. p. 4-1
47. O'NEILL, M., S. L. USTIN, S. HAGER, AND R. ROOT. 2000. Mapping the distribution of leafy spurge at Theodore Roosevelt National Park using AVIRIS. In: R. O. Green [ED.]. Proceedings of the 9th JPL Airborne Earth Science Workshop. Pasadena, CA, USA: NASA Jet Propulsion Laboratory Publication. p. 1.
48. OTTEN, L. J., A. D. MEIGS, F. P. PORTIGAL, B. A. JONES, AND R. G. SELLAR. 1997. MightySat II.1: an optical and design performance update. In: H. Fujisada, G. Calamai, and M. N. Sweeting [EDS.]. Advanced and Next Generation Satellites II. Taormina, Italy: SPIE-International Society for Optical Engineering, Vol. 2957. p. 390-398.
49. PARKER WILLIAMS, A. E., AND E. R. HUNT. 2002. Estimation of leafy spurge cover from hyperspectral imagery using mixture tuned matched filtering. Remote Sensing of Environment 82:446-456.
50. PARKER WILLIAMS, A. E., AND E. R. HUNT. 2004. Accuracy assessment for detection of leafy spurge with hyperspectral imagery. Journal of Range Management 57:106-112.
51. PIMENTEL, D., R. ZUNIGA, AND D. MORRISON. 2005. Update on the environmental and economic costs associated with alien-invasive species in the United States. Ecological Economics 52:273-288.
52. QUIMBY, P. C., JR., AND L. WENDEL. 1997. The ecological areawide management of leafy spurge: a demonstration of biologically based IPM strategies. Sidney, MT, USA: US Department of Agriculture-Agricultural Research Service. 51 p.
53. ROOT, R. R., G. L. ANDERSON, S. N. HAGER, K. E. BROWN, K. B. DUDEK, AND R. F. KOKALY. 2004. Application of advanced remote sensing and modeling techniques for the detection and management of leafy spurge: challenges and opportunities. In: Proceedings of the Society for Range Management 57th Annual Meeting; 24-30 January 2004; Salt Lake City, UT, USA. Denver, CO, USA: Society for Range Management.
54. ROOT, R., S. USTIN, P. ZARCO-TEJADA, C. PINILAA, R. KOKALY, G. ANDERSON, AND K. BROWN. 2002. Comparison of AVIRIS and EO-1 Hyperion for classification and mapping of invasive leafy spurge in Theodore Roosevelt National Park. In: Proceedings of the 11th JPL Airborne Earth Science Workshop. Available at: http://personal.telefonica.terra.es/web/pinillaweb/archivos/JPL- root-2002.pdf. Accessed 7 April 2008.
55. STITT, S., R. ROOT, K. BROWN, S. HAGER, C. MLADINICH, G. L. ANDERSON, K. DUDEK, M. R. BUSTOS, AND R. KOKALY. 2006. Classification of leafy spurge with Earth Observing-1 Advanced Land Imager. Rangeland Ecology & Management 59:507-511.
56. STOHLGREN, T. J., D. T. BARNETT, AND C. S. CROSIER. 2006. Beyond NAWMA - the North American Weed Management Association Standards. Available at: http://www.niiss.org/cwis438/websites/ niiss/FieldMethods/BeyondNAWMA.php. Accessed 1 June 2006.
57. UNDERWOOD, E. C., S. L. USTIN, AND C. M. RAMIREZ. 2007. A comparison of spatial and spectral image resolution for mapping invasive plants in coastal California. Journal of Environmental Management 39:63-83.
58. UNGAR, S. G., J. S. PEALRMAN, J. A. MENDENHALL, AND D. REUTER. 2003. Overview of Earth Observing One (EO-1) mission. IEEE Transactions of Geoscience and Remote Sensing 41:1149-1159.
59. USTIN, S. L., A. R. DAR, J. A. GAMON, P. A. GREGORY, AND R. O. GREEN. 2004. Using imaging spectroscopy to study ecosystem processes. Bioscience 54:523-534.
60. VITOUSEK, P. M., C. M. D'ANTONIO, L. L. LOOPE, M. REJMANEK, AND R. WESTBROOKS. 1997. Introduced species: a significant component of human-caused global change. New Zealand Journal of Ecology 21:1-16.