The role of environmental context in mapping invasive plants with hyperspectral image data

Remote Sensing of Environment

Volumn 112, Issue 12, 2008, Pages 4301-4317

  Andrew, Margaret E ^a   Ustin, Susan L ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

HyMap; Hyperspectral imaging; Invasive plant species; Lepidium latifolium; Mixture tuned matched filtering (MTMF); Perennial pepperweed; Remote sensing; Weed mapping

Indexed keywords

AGGLOMERATION; ATMOSPHERICS; CONFORMAL MAPPING; EARTH SCIENCES; FORESTRY; PHYSIOLOGICAL MODELS; REMOTE SENSING; RIVERS; SEPARATION; SPACE OPTICS; WATER; WETLANDS;

HYMAP; HYPERSPECTRAL IMAGING; INVASIVE PLANT SPECIES; LEPIDIUM LATIFOLIUM; MIXTURE TUNED MATCHED FILTERING (MTMF); PERENNIAL PEPPERWEED; WEED MAPPING;

POPULATION STATISTICS;

COEXISTENCE; COMPARATIVE STUDY; HERB; INVASIVE SPECIES; PHENOLOGY; POPULATION DISTRIBUTION; REGRESSION ANALYSIS; REMOTE SENSING; SALINITY; SATELLITE DATA; SATELLITE IMAGERY; SPATIAL RESOLUTION; SPECIES DIVERSITY; SPECTRAL ANALYSIS; VEGETATION MAPPING; WEED CONTROL;

AGGLOMERATION; FORESTRY; MAPPING; MIXTURES; PLANTS; REMOTE SENSING; RIVERS; SEPARATION; WATER; WETLANDS;

CALIFORNIA; NORTH AMERICA; SACRAMENTO-SAN JOAQUIN DELTA; SAN FRANCISCO BAY; UNITED STATES;

LEPIDIUM; LEPIDIUM LATIFOLIUM; POACEAE;

EID: 53649094993     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2008.07.016     Document Type: Article

References (99)

1. Andrew M.E., and Ustin S.L. Spectral and physiological uniqueness of perennial pepperweed (Lepidium latifolium). Weed Science 54 (2006) 1051-1062
2. Asner G.P., and Vitousek P.M. Remote analysis of biological invasion and biogeochemical change. Proceedings of the National Academy of Sciences of the United States of America 102 (2005) 4383-4386
3. Atwater B.F., Conard S.G., Dowden J.N., Hedel C.W., Macdonald R.L., and Savage W. History, landforms, and vegetation of the estuary's tidal marshes. In: Conomos T.J. (Ed). San Francisco Bay: The Urbanized Estuary (1979), American Association for the Advancement of Science, San Francisco, California 347-385
4. Barnett D.T., Stohlgren T.J., Jarnevich C.S., Chong G.W., Ericson J.A., Davern T.R., et al. The art and science of weed mapping. Environmental Monitoring and Assessment 132 (2007) 235-252
5. Benediktsson J.A., and Kanellopoulos I. Classification of multisource and hyperspectral data based on decision fusion. IEEE Transactions on Geoscience and Remote Sensing 37 (1999) 1367-1377
6. Benediktsson J.A., Sveinsson J.R., and Swain P.H. Hybrid consensus theoretic classification. IEEE Transactions on Geoscience and Remote Sensing 35 (1997) 833-843
7. Blank R.R., Qualls R.G., and Young J.A. Lepidium latifolium: Plant nutrient competition-soil interactions. Biology and Fertility of Soils 35 (2002) 458-464
8. Blank R.R., and Young J.A. Lepidium latifolium: Influences on soil properties, rate of spread, and competitive stature. In: Brock J.H., Wade M., Pysek P., and Green D. (Eds). Plant Invasions: Studies from North America and Europe (1997), Backhuys Publishers, Leiden, The Netherlands 69-80
9. Blank R.R., and Young J.A. Influence of the exotic invasive crucifer, Lepidium latifolium, on soil properties and elemental cycling. Soil Science 167 (2002) 821-829
10. Boardman J.W., Kruse F.A., and Green R.O. Mapping target signatures via partial unmixing of AVIRIS data. Summaries of the fifth JPL Airborne Geoscience Workshop. JPL Publication Vol. 95-1 (1995), NASA Jet Propulsion Laboratory, Pasadena, CA 23-26
11. Bradley B.A., and Mustard J.F. Characterizing the landscape dynamics of an invasive plant and risk of invasion using remote sensing. Ecological Applications 16 (2006) 1132-1147
12. Breiman L., Friedman J.H., Olshen R.A., and Stone C.J. Classification and Regression Trees (1998), Chapman & Hall/CRC, Boca Raton
13. Briem G.J., Benediktsson J.A., and Sveinsson J.R. Multiple classifiers applied to multisource remote sensing data. IEEE Transactions on Geoscience and Remote Sensing 40 (2002) 2291-2299
14. California Interagency Noxious Weed Coordinating Committee. California's most wanted weeds. Noxious Times 4 (2003) 10-17
15. Carlson K.M., Asner G.P., Hughes R.F., Ostertag R., and Martin R.E. Hyperspectral remote sensing of canopy biodiversity in Hawaiian lowland rainforests. Ecosystems 10 (2007) 536-549
16. Carreiras J.M.B., Pereira J.M.C., and Shimabukuro Y.E. Land-cover mapping in the Brazilian Amazon using SPOT-4 vegetation data and machine learning classification methods. Photogrammetric Engineering and Remote Sensing 72 (2006) 897-910
17. Chan J.C.W., Huang C.Q., and DeFries R. Enhanced algorithm performance for land cover classification from remotely sensed data using bagging and boosting. IEEE Transactions on Geoscience and Remote Sensing 39 (2001) 693-695
18. Chan J.C.W., Laporte N., and Defries R.S. Texture classification of logged forests in tropical Africa using machine-learning algorithms. International Journal of Remote Sensing 24 (2003) 1401-1407
19. Cheng Y.-B., Tom E., and Ustin S.L. Mapping an invasive species, kudzu (Pueraria montana), using hyperspectral imagery in western Georgia. Journal of Applied Remote Sensing 1 (2007) 013514-013511
20. Clark M.L., Roberts D.A., and Clark D.B. Hyperspectral discrimination of tropical rain forest tree species at leaf to crown scales. Remote Sensing of Environment 96 (2005) 375-398
21. Cocks T., Jennsen R., Stewart A., Wilson I., and Shields T. The HyMap airborne hyperspectral sensor: The system, calibration and performance. Proceedings of the 1st EARSEL Workshop on Imaging Spectroscopy. Zurich (1998)
22. Cohen A.N., and Carlton J.T. Accelerating invasion rate in a highly invaded estuary. Science 279 (1998) 555-558
23. Debeir O., Van den Steen I., Latinne P., Van Ham P., and Wolff E. Textural and contextual land-cover classification using single and multiple classifier systems. Photogrammetric Engineering and Remote Sensing 68 (2002) 597-605
24. DeFerrari C.M., and Naiman R.J. A multi-scale assessment of the occurrence of exotic plants on the Olympic Peninsula, Washington. Journal of Vegetation Science 5 (1994) 247-258
25. DeFries R.S., and Chan J.C.W. Multiple criteria for evaluating machine learning algorithms for land cover classification from satellite data. Remote Sensing of Environment 74 (2000) 503-515
26. Dennison P.E., and Roberts D.A. The effects of vegetation phenology on endmember selection and species mapping in southern California chaparral. Remote Sensing of Environment 87 (2003) 295-309
27. DiPietro D., Ustin S.L., and Underwood E. Mapping the invasive plant Arundo donax and associated riparian vegetation using AVIRIS. AVIRIS Airborne Geoscience Workshop Proceedings, Pasadena, CA (2002)
28. Everitt J.H., and Deloach C.J. Remote sensing of Chinese tamarisk (Tamarix chinensis) and associated vegetation. Weed Science 38 (1990) 273-278
29. Fox M.D., and Fox B.J. The susceptibility of natural communities to invasion. In: Groves R.H., and Burdon J.J. (Eds). Ecology of Biological Invasions (1986), Cambridge University Press, Cambridge 57-66
30. Francis A., and Warwick S.I. The biology of invasive alien plants in Canada. 8. Lepidium latifolium L. Canadian Journal of Plant Science 87 (2007) 639-658
31. Friedl M.A., and Brodley C.E. Decision tree classification of land cover from remotely sensed data. Remote Sensing of Environment 61 (1997) 399-409
32. Fuentes D.A., Gamon J.A., Qiu H.-L., Sims D.A., and Roberts D.A. Mapping Canadian boreal forest vegetation using pigment and water absorption features derived from the AVIRIS sensor. Journal of Geophysical Research 106 (2001) 33565-33577
33. Gamon J.A., Peñuelas J., and Field C.B. A narrow-waveband spectral index that tracks diurnal changes in photosynthetic efficiency. Remote Sensing of Environment 41 (1992) 35-44
34. Gao B.-C. NDWI - A normalized difference water index for remote sensing of vegetation liquid water from space. Remote Sensing of Environment 58 (1996) 257-266
35. Gao B.-C., Heidebrecht K.B., and Goetz A.F.H. Derivation of scaled surface reflectance from AVIRIS data. Remote Sensing of Environment 44 (1993) 165-178
36. Ge S.K., Carruthers R., Gong P., and Herrera A. Texture analysis for mapping Tamarix parviflora using aerial photographs along the Cache Creek, California. Environmental Monitoring and Assessment 114 (2006) 65-83
37. Glenn N.F., Mundt J.T., Weber K.T., Prather T.S., Lass L.W., and Pettingill J. Hyperspectral data processing for repeat detection of small infestations of leafy spurge. Remote Sensing of Environment 95 (2005) 399-412
38. Green A.A., Berman M., Switzer P., and Craig M.D. A transformation for ordering multispectral data in terms of image quality with implications for noise removal. IEEE Transactions on Geoscience and Remote Sensing 26 (1988) 65-74
39. Grossinger R., Alexander J., Cohen A.N., and Collins J.N. Introduced Tidal Marsh Plants in the San Francisco Estuary: Regional Distribution and Priorities for Control: San Francisco Estuary Institute (1998)
40. Hamada Y., Stow D.A., Coulter L.L., Jafolla J.C., and Hendricks L.W. Detecting Tamarisk species (Tamarix spp.) in riparian habitats of Southern California using high spatial resolution hyperspectral imagery. Remote Sensing of Environment 109 (2007) 237-248
41. Hansen M., Dubayah R., and DeFries R. Classification trees: An alternative to traditional land cover classifiers. International Journal of Remote Sensing 17 (1996) 1075-1081
42. Hestir, E. L., Khanna, S., Andrew, M. E., Santos, M. J., Viers, J. H., Greenberg, J. A., et al. (in press). Identification of invasive vegetation using hyperspectral remote sensing in the California Delta ecosystem. Remote Sensing of Environment. doi:10.1016/j.rse.2008.01.022.
43. Howald A. Lepidium latifolium L. In: Bossard C.C., Randall J.M., and Hoshovksy M.C. (Eds). Invasive Plants of California's Wildlands (2002), University of California Press, Berkeley, CA 222-227
44. Hunt E.R., Daughtry C.S., Kim M.S.S., and Williams A.E.P. Using canopy reflectance models and spectral angles to assess potential of remote sensing to detect invasive weeds. Journal of Applied Remote Sensing 1 (2007) 013506-013519
45. Hunt E.R., McMurtrey J.E., Parker A.E., and Corp L.A. Spectral characteristics of leafy spurge (Euphorbia esula) leaves and flower bracts. Weed Science 52 (2004) 497
46. Jacquemoud S. Inversion of the Prospect + Sail canopy reflectance model from AVIRIS equivalent spectra: Theoretical study. Remote Sensing of Environment 44 (1993) 281-292
47. Jacquemoud S., and Baret F. Prospect - A model of leaf optical properties spectra. Remote Sensing of Environment 34 (1990) 75-91
48. Kimes D.S. Modeling the directional reflectance from complete homogeneous vegetation canopies with various leaf-orientation distributions. Journal of the Optical Society of America A 1 (1984) 725-737
49. Kramer V.L., Collins J.N., Malamud-Roam K., and Beesley C. Reduction of Aedes dorsalis by enhancing tidal action in a northern California marsh. Journal of the American Mosquito Control Association 11 (1995) 389-395
50. Laba M., Tsai F., Ogurcak D., Smith S., and Richmond M.E. Field determination of optimal dates for the discrimination of invasive wetland plant species using derivative spectral analysis. Photogrammetric Engineering and Remote Sensing 71 (2005) 603-611
51. Larson D.L., Anderson P.J., and Newton W. Alien plant invasion in mixed-grass prairie: Effects of vegetation type and anthropogenic disturbance. Ecological Applications 11 (2001) 128-141
52. Lass L.W., Prather T.S., Glenn N.F., Weber K.T., Mundt J.T., and Pettingill J. A review of remote sensing of invasive weeds and example of the early detection of spotted knapweed (Centaurea maculosa) and babysbreath (Gypsophila paniculata) with a hyperspectral sensor. Weed Science 53 (2005) 242-251
53. Lass L.W., Thill D.C., Shafii B., and Prather T.S. Detecting spotted knapweed (Centaurea maculosa) with hyperspectral remote sensing technology. Weed Technology 16 (2002) 426-432
54. Lawrence R.L., Wood S.D., and Sheley R.L. Mapping invasive plants using hyperspectral imagery and Breiman Cutler classifications (RandomForest). Remote Sensing of Environment 100 (2006) 356-362
55. Leverington D.W., and Moon W.M. On the use of consensus algorithms to address variability in the results of neural network classifications: Preliminary tests involving two northern study areas. Canadian Journal of Remote Sensing 31 (2005) 269-273
56. Mack R.N. Assessing biotic invasions in time and space: The second imperative. In: Mooney H.A., Mack R.N., McNeely J.A., Neville L.E., Schei P.J., and Waage J.K. (Eds). Invasive Alien Species: A New Synthesis (2005), Island Press, Washington, DC 179-208
57. Mack R.N., Simberloff D., Lonsdale W.M., Evans H., Clout M., and Bazzaz F.A. Biotic invasions: Causes, epidemiology, global consequences, and control. Ecological Applications 10 (2000) 689-710
58. Mitsch W.J., and Gosselink J.G. Wetlands (2007), John Wiley & Sons, Inc., Hoboken, New Jersey
59. Monserud R.A., and Leemans R. Comparing global vegetation maps with the Kappa statistic. Ecological Modelling 62 (1992) 275-293
60. Moody M.E., and Mack R.N. Controlling the spread of plant invasions: The importance of nascent foci. Journal of Applied Ecology 25 (1988) 1009-1021
61. Mundt J.T., Glenn N.F., Weber K.T., Prather T.S., Lass L.W., and Pettingill J. Discrimination of hoary cress and determination of its detection limits via hyperspectral image processing and accuracy assessment techniques. Remote Sensing of Environment 96 (2005) 509-517
62. Nagler P.L., Daughtry C.S.T., and Goward S.N. Plant litter and soil reflectance. Remote Sensing of Environment 71 (2000) 207-215
63. Noujdina N.V., and Ustin S.L. Mapping downy brome (Bromus tectorum) using multidate AVIRIS data. Weed Science 56 (2008) 173-179
64. Okin G.S., Roberts D.A., Murray B., and Okin W.J. Practical limits on hyperspectral vegetation discrimination in arid and semiarid environments. Remote Sensing of Environment 77 (2001) 212-225
65. Orth J.F., Gammon M., Abdul-Basir F., Stevenson R.D., Tsirelson D., Ebersole J., et al. Natural history, distribution, and management of Lepidium latifolium (Brassicaceae) in New England. Rhodora 108 (2006) 103-118
66. Panetta F.D., and Lawes R. Evaluation of weed eradication programs: the delimitation of extent. Diversity and Distributions 11 (2005) 435-442
67. Parker Williams A., and Hunt E.R. Estimation of leafy spurge cover from hyperspectral imagery using mixture tuned matched filtering. Remote Sensing of Environment 82 (2002) 446-456
68. Peña-Barragán J.M., López-Granados F., Jurado-Expósito M., and García-Torres L. Spectral discrimination of Ridolfia segetum and sunflower as affected by phenological stage. Weed Research 46 (2006) 10-21
69. Pennings S.C., and Callaway R.M. Salt marsh plant zonation: The relative importance of competition and physical factors. Ecology 73 (1992) 681-690
70. Peñuelas J., Piñol J., Ogaya R., and Filella I. Estimation of plant water concentration by the reflectance Water Index WI (R900/R970). International Journal of Remote Sensing 18 (1997) 2869-2875
71. Pino J., Seguí J.M., and Alvarez N. Invasibility of four plant communities in the Llobregat Delta (Catalonia, NE of Spain) in relation to their historical stability. Hydrobiologia 570 (2006) 257-263
72. Price J.C. How unique are spectral signatures. Remote Sensing of Environment 49 (1994) 181-186
73. Renz, M. J., (2002). Biology, ecology and control of perennial pepperweed (Lepidium latifolium L.). Ph.D. Dissertation. (p. 128). Department of Plant Biology, University of California Davis.
74. Rew L.J., Maxwell B.D., Dougher F.L., and Aspinall R. Searching for a needle in a haystack: Evaluating survey methods for non-indigenous plant species. Biological Invasions 8 (2006) 523-539
75. Ricciardi A. Are modern biological invasions an unprecedented form of global change?. Conservation Biology 21 (2007) 329-336
76. Richards J.A., and Jia X. Remote Sensing Digital Image Analysis (1999), Springer, Berlin
77. Roberts D.A., Ustin S.L., Ogunjemiyo S., Greenberg J., Dobrowski S.Z., Chen J.Q., and Hinckley T.M. Spectral and structural measures of northwest forest vegetation at leaf to landscape scales. Ecosystems 7 (2004) 545-562
78. Rosenfield G.H., and Fitzpatrick-Lins K. A coefficient of agreement as a measure of thematic classification accuracy. Photogrammetric Engineering and Remote Sensing 52 (1986) 223-227
79. Rouget M., and Richardson D.M. Inferring process from pattern in plant invasions: A semimechanistic model incorporating propagule pressure and environmental factors. American Naturalist 162 (2003) 713-724
80. Schmidt K.S., and Skidmore A.K. Spectral discrimination of vegetation types in a coastal wetland. Remote Sensing of Environment 85 (2003) 92-108
81. Serrano L., Peñuelas J., and Ustin S.L. Remote sensing of nitrogen and lignin in Mediterranean vegetation from AVIRIS data: Decomposing biochemical from structural signals. Remote Sensing of Environment 81 (2002) 355-364
82. Sokal R.R., and Rohlf F.J. Biometry (1995), W.H. Freeman and Company, New York
83. Spenst, R.O., (2006). The biology and ecology of Lepidium latifolium L. in the San Francisco Estuary and their implications for eradication of this invasive weed. Ph.D. Dissertation (p. 88). Graduate Group in Ecology, University of California Davis.
84. Stohlgren T.J., Binkley D., Chong G.W., Kalkhan M.A., Schell L.D., Bull K.A., et al. Exotic plant species invade hot spots of native plant diversity. Ecological Monographs 69 (1999) 25-46
85. Stohlgren T.J., Bull K.A., Otsuki Y., Villa C.A., and Lee M. Riparian zones as havens for exotic plant species in the central grasslands. Plant Ecology 138 (1998) 113-125
86. Stohlgren T.J., Chong G.W., Schell L.D., Rimar K.A., Otsuki Y., Lee M., et al. Assessing vulnerability to invasion by nonnative plant species at multiple spatial scales. Environmental Management 29 (2002) 566-577
87. Tucker C.J. Red and photographic infrared linear combinations for monitoring vegetation. Remote Sensing of Environment 8 (1979) 127-150
88. Uncles R.J., and Peterson D.H. A computer model of long-term salinity in San Francisco Bay: Sensitivity to mixing and inflows. Environment International 21 (1995) 647-656
89. Underwood E., Ustin S., and DiPietro D. Mapping nonnative plants using hyperspectral imagery. Remote Sensing of Environment 86 (2003) 150-161
90. Underwood E.C., Mulitsch M.J., Greenberg J.A., Whiting M.L., Ustin S.L., and Kefauver S.C. Mapping invasive aquatic vegetation in the Sacramento-San Joaquin Delta using hyperspectral imagery. Environmental Monitoring and Assessment 121 (2006) 47-64
91. Underwood E.C., Ustin S.L., and Ramirez C.M. A comparison of spatial and spectral image resolution for mapping invasive plants in coastal California. Environmental Management 39 (2007) 63-83
92. Vaghti M., and Keeler-Wolf T. Suisun Marsh vegetation mapping change detection 2003. Report to the California Department of Water Resources (2004) 43
93. Verhoef W. Light scattering by leaf layers with application to canopy reflectance modeling: The SAIL model. Remote Sensing of Environment 16 (1984) 125-141
94. Vilà M., Pino J., and Font X. Regional assessment of plant invasions across different habitat types. Journal of Vegetation Science 18 (2007) 35-42
95. Williamson M. Biological Invasions (1996), Chapman & Hall, London
96. Wilson J.R.U., Richardson D.M., Rouget M., Procheş S., Amis M.A., Henderson L., et al. Residence time and potential range: Crucial considerations in modelling plant invasions. Diversity and Distributions 13 (2007) 11-22
97. Young J.A., Palmquist D.E., and Blank R.R. The ecology and control of perennial pepperweed (Lepidium latifolium L.). Weed Technology 12 (1998) 402-405
98. Young J.A., Palmquist D.E., and Wotring S.O. The invasive nature of Lepidium latifolium: A review. In: Brock J.H., Wade M., Pysek P., and Green D. (Eds). Plant Invasions: Studies from North America and Europe (1997), Backhuys, Leiden, The Netherlands 59-68
99. Zarco-Tejada P.J. Optical indices as bioindicators of forest sustainability. Report to the Graduate Programme in Earth and Space Science (1998), York University, Toronto