Hyperspectral data processing for repeat detection of small infestations of leafy spurge

Remote Sensing of Environment

Volumn 95, Issue 3, 2005, Pages 399-412

  Glenn, Nancy F ^a   Mundt, Jacob T ^a   Weber, Keith T ^b   Prather, Timothy S ^c   Lass, Lawrence W ^c   Pettingill, Jeffrey ^d  

^a Nucl Eng Idaho State University   (United States)

^b IDAHO STATE UNIVERSITY   (United States)

^c UNIVERSITY OF IDAHO   (United States)

^d Bonneville County Weed Department   (United States)

Author keywords

Accuracy assessment; Hyperspectral imagery; Leafy spurge; Mixture Tuned Matched Filtering

Indexed keywords

ALGORITHMS; CONSERVATION; ERROR ANALYSIS; PLANTS (BOTANY); RESTORATION;

GEOREGISTRATION ERRORS; HYPERSPECTRAL DATA; HYPERSPECTRAL IMAGERY; LEAFY SPURGE; MIXTURE TUNED MATCHED FILTERING (MTMF) ALGORITHM;

IMAGE ANALYSIS;

ACCURACY ASSESSMENT; CANOPY REFLECTANCE; DATA PROCESSING; IMAGE ANALYSIS; INVASIVE SPECIES; PLANT; REMOTE SENSING; SATELLITE IMAGERY;

EID: 15744384678     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2005.01.003     Document Type: Article

References (43)

1. G.L. Anderson, C.W. Prosser, S. Hager, and B. Foster Change detection of leafy spurge (Euphorbia esula) infestations using aerial photography and geographic information systems Proceedings of the 20th Anniversary Leafy Spurge Symposium 1999 USDA Medora, ND
2. R.J. Aspinall, A. Marcus, and J.W. Boardman Considerations in collecting, processing, and analyzing high spatial resolution hyperspectral data for environmental investigations Journal of Geographical Systems 4 2002 15 29
3. J.W. Belcher, and S.D. Wilson Leafy spurge and the species composition of a mixed-grass prairie Journal of Range Management 42 1989 172 175
4. C.M. Bielski The influence of spatial extent on endmember selection in imaging spectrometer data Proceedings of the EPA Remote Sensing of Vegetation Conference 2003 EPA Las Vegas, NV
5. J.W. Boardman Automating spectral unmixing of AVIRIS data using convex geometry concepts Proceedings of the Fourth Annual JPL Airborne Geoscience Workshop 1993 Arlington, VA
6. J.W. Boardman Leveraging the high dimensionality of AVIRIS data for improved sub-pixel target unmixing and rejection of false positives: Mixture tuned matched filtering Proceedings of the Fifth JPL Geoscience Workshop 1998 JPL Pasadena, CA
7. Bureau of Land Management (BLM) (1998). Growing pains facts about weed invasions in the Western United States, available URL: http://www.blm.gov/ education/weed/pain/growingpains2.html, accessed July, 2004.
8. T. Cocks, R. Jenssen, A. Stewart, I. Wilson, and T. Shields The HYMAP airborne hyperspectral sensor: The system, calibration and performance 1st EARSEL workshop on imaging spectroscopy 1998 EARSel Zurich, Switzerland
9. R.G. Congalton Putting the map back in map accuracy assessment R.S. Lunetta J.G. Lyon Remote sensing and GIS accuracy assessment 2004 CRC Press LLC Boca Raton 1 11
10. R.G. Congalton, and K. Green Assessing the accuracy of remotely sensed data: Principles and practices 1999 Lewis Publishers Boca Raton 137 pp.
11. K.B. Dudek, R.R. Root, R.F. Kokaly, G.L. Anderson, K.E. Brown, and C.S. Mladinich Temporal monitoring of leafy spurge: An example using 1999 and 2001 airborne visible/infrared imaging spectrometer (AVIRIS) data over Theodore Roosevelt National Park Proceedings of the Society for Range Management 57th Annual Meeting 2004 Society for Range Management Salt Lake City, UT
12. J.H. Everitt, G.L. Anderson, D.E. Escobar, M.R. Davis, N.R. Spencer, and R.J. Andrascik Use of remote sensing for detecting and mapping leafy spurge (Euphorbia esula) Weed Technology 9 1995 599 609
13. J.H. Everitt, D.E. Escobar, and M.R. Davis Using remote sensing for detecting and mapping noxious plants Weed Abstracts 44 1995 639 649
14. J.H. Everitt, and C. Yang Using quickbird satellite imagery to distinguish two noxious weeds in southern Texas Proceedings of the 10th Forest Service Remote Sensing Conference 2004 American Society of Photogrammetry and Remote Sensing Salt Lake City, UT
15. J.H. Everitt, C. Yang, D.E. Escobar, R.I. Lonard, and D.G. Davis Reflectance characteristics and remote sensing of a riparian zone in south Texas The Southwestern Naturalist 47 2002 433 439
16. G.M. Foody Status of land cover classification accuracy assessment Remote Sensing of Environment 80 2002 185 201
17. G.M. Foody Thematic map comparison: Evaluating the statistical significance of differences in classification accuracy Photogrammetric Engineering Remote Sensing 70 5 2004 627 633
18. A.A. Green, M. Berman, P. Switzer, and M.D. Craig A transformation for ordering multispectral data in terms of image quality with implications for noise removal Transactions on Geoscience and Remote Sensing 26 1988 65 74
19. D.G. Hein, and S.D. Miller Influence of leafy spurge on forage utilization by cattle Journal of Range Management 45 1992 405 407
20. R.F. Kokaly, G.L. Anderson, R.R. Root, K.E. Brown, C.S. Mladinich, and S. Hager Mapping leafy spurge by identifying signatures of vegetation field spectra in compact airborne spectrographic imager (CASI) data Proceedings of the Society for Range Management 57th Annual Meeting 2004 Society for Range Management Salt Lake City, UT
21. S. Lajeunesse, R. Sheley, C. Duncan, and R. Lym R. Sheley J. Petroff Leafy spurge, biology and management of noxious rangeland weeds 1999 Oregon State University Press Corvallis, OR 249 260
22. D.W. Lamb, and R.B. Brown Remote sensing and mapping of weeds in crops Journal of Agricultural Engineering 78 2001 117 125
23. L.W. Lass, and T.S. Prather Detecting brazilian pepper (Schinus terebinthifolius) with hyperspectral remote sensing technology Weed Technology 18 2004 437 442
24. L.W. Lass, D.C. Thill, B. Shafii, and T.S. Prather Detecting spotted knapweed (Centaurea maculosa) with hyperspectral remote sensing technology Weed Technology 16 2002 426 432
25. Leitch, J. A., Leistritz, F. L., & Bangsund, D. A. (1994). Economic effect of leafy spurge in the upper great plains: Methods, models, and results. Agricultural Economics Report No. 316. North Dakota State University, Agricultural Experiment Station.
26. M. Lewis Hyperspectral discrimination of vegetation-what is possible? Proceedings of the EPA Spectral Remote Sensing of Vegetation Conference 2003 Las Vegas, NV
27. M. Lewis, V. Jooste, and A. DeGasparis Hyperspectral discrimination of arid vegetation The 28th International Symposium on Remote Sensing of Environment 2000 ISRSE Cape Town, South Africa 148 151
28. R.D. Lopez, C.M. Edmonds, A.C. Neal, T. Slonecker, B.K. Jones, and D.T. Heggem Accuracy assessments of airborne hyperspectral data for mapping opportunistic plant species in freshwater coastal wetlands R.S. Lunetta J.G. Lyon Remote sensing and GIS accuracy assessment 2004 CRC Press LLC Boca Raton 253 267
29. McMahan, B., Narsavage, D., & Weber, K. (2003). The "pole cam": Corroborating field estimations with high spatial resolution imagery. In K. T. Weber, (Ed.) Final Report: Wildfire Effects on Rangeland Ecosystems and Livestock Grazing in Idaho (pp. 18-22). Idaho State University-GIS Training and Research Center. 209 pp.
30. Mundt, J. T., Streutker, D. R., Glenn, N. F., & Weber, K. (submitted for publication) Multiple endmember MTMF classification of leafy spurge-theory and application. Photogrammetric Engineering and Remote Sensing, manuscript #04-141.
31. Northwest Natural Resource Group Preparing to meet the challenge: An assessment of invasive species management in Idaho 2003 Idaho State Department of Agriculture brochure
32. M. O'Neill, and S.L. Ustin Mapping the distribution of leafy spurge at Theodore Roosevelt National Park using, AVIRIS Proceedings of the Ninth JPL Airborne Earth Science Workshop 2000
33. D. Pimentel, L. Lach, R. Zuniga, and D. Morrison Environmental and economic costs associated with nonindigenous species in the United States Bioscience 50 2000 53 65
34. R.R. Root, G.L. Anderson, S.N. Hager, K.E. Brown, K.B. Dudek, and R.F. Kokaly Application of advanced remote sensing and modeling techniques for the detection and management of leafy spurge: Challenges and opportunities Proceedings of the Society for Range Management 57th Annual Meeting 2004 Society for Range Management Salt Lake City, UT
35. S.V. Stehman, and R.L. Czaplewski Design and analysis for thematic map accuracy assessment: Fundamental principles Remote Sensing of Environment 64 1998 331 344
36. M. Story, and R.G. Congalton Accuracy assessment: A user's perspective Photogrammetric Engineering & Remote Sensing 52 1986 397 399
37. The Ecological Area-wide Management (TEAM) Leafy Spurge (2004). Available URL: http://www.team.ars.usda.gov/, accessed July 2004.
38. E. Underwood, S.L. Ustin, and D. DiPietro Mapping nonnative plants using hyperspectral imagery Remote Sensing of Environment 86 2003 150 161
39. S.L. Ustin, D.A. Roberts, J.A. Gamon, G.P. Asner, and R.O. Green Using imaging spectroscopy to study ecosystem processes and properties Bioscience 54 6 2004 523 534
40. G. Vane, and A.F.H. Goetz Terrestrial imaging spectrometry: Current status future trends Remote Sensing of Environment 44 1993 117 126
41. Whitson, T. D. (Ed.), Burrill, L. C., Dewey, S. A., Cudney, D. W., Nelson, B. E., Lee, R. D., & Parker, R. (1999). Weeds of the West. The Western Society of Weed Science in cooperation with the Western United States Land Grant Universities Cooperative Extension Services, Newark, CA. 630 pp.
42. A.E.P. Williams, and E.R. Hunt Estimation of leafy spurge cover from hyperspectral imagery using mixture tuned matched filtering Remote Sensing of Environment 82 2002 446 456
43. A.E.P. Williams, and E.R. Hunt Accuracy assessment for detection of leafy spurge with hyperspectral imagery Journal of Range Management 57 2004 106 112