Hostname: page-component-586b7cd67f-gb8f7 Total loading time: 0 Render date: 2024-11-22T11:41:53.920Z Has data issue: false hasContentIssue false
  • English
  • Français

Mapping of Scotch Broom (Cytisus scoparius) with Landsat Imagery

Published online by Cambridge University Press:  20 January 2017

David A. Hill ,
Raj Prasad  and
Donald G. Leckie
David A. Hill
Affiliation:
Natural Resources Canada, Canadian Forest Service, Pacific Forestry Centre, 506 West Burnside Road, Victoria, British Columbia V6M 1M5, Canada
Raj Prasad
Affiliation:
Natural Resources Canada, Canadian Forest Service, Pacific Forestry Centre, 506 West Burnside Road, Victoria, British Columbia V6M 1M5, Canada
Donald G. Leckie*
Affiliation:
Natural Resources Canada, Canadian Forest Service, Pacific Forestry Centre, 506 West Burnside Road, Victoria, British Columbia V6M 1M5, Canada
*
Corresponding author's E-mail: [email protected].
Get access Rights & Permissions [Opens in a new window]

Abstract

Methods were developed and tested for mapping the distribution of Scotch broom, an invasive shrub species expanding its range and disrupting native species and habitats in several parts of the world. During spring, the Scotch broom produces yellow flowers. Landsat imagery during the flower bloom period and during summer was acquired for several years for a study area on Vancouver Island, British Columbia, Canada. Ground-based reflectance measurements plus statistical separability tests were conducted to determine the effectiveness for identifying Scotch broom with Landsat spectral bands, band ratios, vegetation indices, and combinations of bloom and nonbloom imagery. Maximum likelihood classifications of three Scotch broom density classes (dense, ≥ 75% cover; moderate, 25 to 75%; low, 10 to 25%) and other land covers were run with various image and band sets and tested against independent reference sites. Accuracies of classifications using the better band combinations for moderate and dense Scotch broom patches combined were on the order of 80%, with unreliable results for sites of low Scotch broom density. Scotch broom patches less than 0.5 ha were often missed. Some commission error occurred (areas erroneously classified as Scotch broom). Suggested improvements are the use of time series of classifications over multiple years, incorporating knowledge of Scotch broom spread mechanisms or temperature and elevation limitations, and use of higher resolution satellites if the expense warrants it. Despite some limitations, a satellite-based remote sensing approach may be useful for aspects of Scotch broom management.

Se desarrollaron y evaluaron métodos para mapear la distribución de Cytisus scoparius, una especie invasivas de arbusto que está expandiendo su área de influencia y está perturbando especies nativas y hábitats en varias partes del mundo. Durante la primavera, C. scofparius produce flores amarillas. Imágenes Landsat durante el período de floración y durante el verano fueron adquiridas durante varios años para un área de estudio en la isla de Vancouver, British Columbia, Canada. Mediciones terrestres de reflectancia más pruebas estadísticas de separabilidad fueron realizadas para determinar la efectividad de identificar C. scoparius con bandas espectrales Landsat, ratios de bandas, índices de vegetación, y combinaciones de imágenes con y sin floración. Clasificaciones de probabilidad máxima de tres clases de densidad de C. scoparius (densa, ≥ 75% de cobertura; moderada, 25 a 75%; baja, 10 a 25%) y otras coberturas del terreno fueron analizadas con varias imágenes y sets de bandas y evaluadas contra sitios de referencia independientes. La exactitud de las clasificaciones usando las mejores combinaciones de bandas para combinados de parches de C. scoparius moderados y densos estuvieron en el orden de 80%, con resultados no confiables para sitios con densidades bajas de C. scoparius. Los parches de C. scoparius de menos de 0.5 ha frecuentemente no fueron identificados. Ocurrieron algunos errores de asignación (áreas erróneamente clasificadas como C. scoparius). Las mejoras sugeridas son el uso de series temporales de clasificaciones a lo largo de múltiples años, incorporando el conocimiento de los mecanismos de dispersión de C. scoparius o limitaciones de temperatura o elevación, y el uso de satélites de alta resolución, si el costo lo amerita. A pesar de algunas limitaciones, un sistema remoto basado en imágenes satelitales podría ser útil para aspectos de manejo de C. scoparius.

Keywords

Scotch broomCytisus scoparius (L.) LinkAccuracy assessmentfloweringmonitoringremote sensingspectral bands
Type
Research Article
Information
Weed Technology , Volume 30 , Issue 2 , June 2016 , pp. 539 - 558
Copyright
Copyright © Weed Science Society of America 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Footnotes

Associate Editor for this paper: Andrew Kniss, University of Wyoming.

References

Literature Cited

Anderson, G, Everitt, JH, Richardson, AJ, Escobar, DE (1993) Using satellite data to map false broomweed (Ericameria austrotexana) infestations on south Texas rangelands. Weed Technol 7:865–871 Google Scholar
Arnold, GW, Ozane, PG, Galbraith, KA, Dandridge, F (1985) The capeweed content of pastures in south-west Western Australia. Aust J Exp Agr 25:117–123 Google Scholar
Boateng, J (1994) Broom: Putting it in its place. Victoria, BC: Government of British Columbia, Queen's Printer. 4 pGoogle Scholar
Bossard, C (1991) The establishment and dispersal of Cytisus scoparius (Scotch broom) in California Sierra Nevada foothill and northern coastal habitats. Pages 35–62 in Proceedings of the Symposium on Exotic Pest Plants. Washington, DC: U.S. Department Interior, National Park Service Technical Rep. NPS/NREVER/NRTR-91/06Google Scholar
Casady, GM, Hanley, RS, Seelan, SK (2005) Detection of leafy spurge (Euphorbia esula) using multidate high-resolution satellite imagery. Weed Technol 19:462–467 Google Scholar
Clements, DR, Peterson, DJ, Prasad, R (2001) The biology of Canadian weeds. 112. Ulex europaeus L. Can J Plant Sci 81:325–337 Google Scholar
DiTomaso, JM (1998) The biology and ecology of brooms and gorse. Pages 142–148 in Proceedings of the California Weed Science Society. Volume50. Salinas, CA: California Weed Science Society Google Scholar
Everitt, JH, Escobar, DE, Davis, MR (2001) Reflectance and image characteristics of selected noxious rangeland species. J Rangeland Manage 54:106–120 Google Scholar
Gitelson, AA, Kaufman, YJ, Stark, R, Rundquist, D (2002) Novel algorithms for remote estimation of vegetation fraction. Remote Sens Environ 80:76–87 Google Scholar
Hosking, JR, Smith, JMB, Sheppard, AW (1996) The biology of Australian weeds. 28. Cytisus scoparius (L.) Link subsp. scoparius . Plant Prot Q 11:102–108 Google Scholar
Huckins, E, Soll, J (2004) Controlling Scotch (Scots) Broom in the Pacific Northwest. Portland, OR: The Nature Conservancy, Oregon Field Office. 12 pGoogle Scholar
[IAPP] Invasive Alien Plant Program (2014) Map of Reported Scotch Broom Occurrences. British Columbia Ministry of Forests, Lands and Natural Resource Operations. http://www.for.gov.bc.ca/hra/plants/application.htm. Accessed October 24, 2014Google Scholar
Joyce, S, Olsson, H (1999) Long-term forest monitoring with temporal-spectral trajectories from Landsat TM data. Pages 68–81 in Proceedings IUFRO Conference on Remote Sensing and ForestMonitoring. Rogow, Poland International Union of Forestry Research Organizations Google Scholar
Lamb, DW, Brown, RB (2001) Remote-sensing and mapping of weeds in crops. J Agric Eng Res 78:117–125 Google Scholar
Lass, LW, Prather, TS, Glenn, NE, Weber, KT, Mundt, JT, Pettingill, J (2005) A review of remote sensing of invasive weeds and early detection of spotted knapweed (Centaurea maculosa) and babysbreath (Glypsophila paniculata) with a hyperspectral sensor. Weed Sci 53:242–251 Google Scholar
Mooney, HA, Cleland, EE (2001) The evolutionary aspects of invasive species. Proc Natl Acad Sci USA 98:5446–5451 Google Scholar
Odom, D, Griffith, GR, Schroder, M, Sinden, JA (2003) Using aerial mapping to analyze factors affecting the spread of scotch broom. Plant Prot Q 18:6–10 Google Scholar
Parsons, WT, Cuthbertson, EG (1992) Noxious Weeds of Australia. Melbourne: Inkata Press. 692 pGoogle Scholar
Perry, DA, Wheeler, CT, Helgerson, OT (1979) Nitrogen-fixing plants for silviculture: some genecological considerations. Pages 243–252 in Proceedings of the Workshop Symbiotic Nitrogen Fixation in the Management of Temperate Forests. Corvallis, OR: Oregon State University, Forest Research Laboratory Google Scholar
Peters, AJ, Reed, BC, Eve, MD, McDaniel, KC (1992) Remote sensing of brooms snakeweed (Guitierrezia sarothrae) with NOAA-10 spectral image processing. Weed Technol 6:1015–1020 Google Scholar
Peterson, D, Prasad, R (1998) The biology of Canadian weeds. 109. Cytisus scoparius (L) Link. Can J Plant Sci 78:497–504 Google Scholar
Prasad, R (2000) Some aspects of the impact and management of the exotic weed, scotch broom (Cytisus scoparius, L. Link) in British Columbia, Canada. J Sustain For 10:341–347 Google Scholar
Prasad, R (2002) Scotch broom, Cytisus scoparius L. in British Columbia. Victoria, BC: Natural Resources Canada. Canadian Forest Service. 6 p. http://cfs.nrcan.gc.ca/pubwarehouse/pdfs/31653.pdf. Accessed March 20, 2015Google Scholar
Prasad, R (2005) Current status and management options of exotic and invasive weeds of forestry in coastal British Columbia, Canada. Outlooks Pest Manag 6:1–5 Google Scholar
Richards, JA (1993) Remote Sensing Digital Image Analysis. 2nd edn. New York: Springer-Verlag. 240 pGoogle Scholar
Teillet, PM (2005) Satellite image radiometry: from photons to calibrated earth science data. Phys Can 60:301–310 Google Scholar
Ullah, E, Shepherd, RC, Baxter, TJ, Peterson, JA (1989) Mapping flowering Patterson's curse (Echium plantagineum) around Lake Hume, northeastern Victoria, using Landsat TM data. Plant Prot Q 4:155–157 Google Scholar
Underwood, E, Ustin, S, DiPietro, D (2003) Mapping nonnative plants using hyperspectral imagery. Remote Sens Environ 86:150–161 Google Scholar
White, JC, Wulder, MA, Hobart, GW, Luther, JE, Hermosilla, T, Griffiths, P, Coops, NC, Hall, RJ, Hostert, P, Dyk, A, Guindon, L (2014) Pixel-based image compositing for large-area dense time series applications and science. Can J Remote Sens 40:192–212 Google Scholar
Wiken, EB (1986) Terrestrial Ecozones of Canada. Ecological Land Classification, Series No. 19. Hull, QC: Environment Canada. 26 pGoogle Scholar
Zielke, K, Boateng, JO, Caldicott, N, Williams, H (1992) Broom and Gorse in British Columbia, A Forestry Perspective Problem Analysis. Victoria, BC: British Columbia Ministry of Forests, Queen's Printer. 20 pGoogle Scholar
Zouhar, K (2005) Cytisus scoparius, C. striatus. In: Fire Effects Information System. U.S. Department Agriculture Forest Service. Rocky Mountain Research Station, Fire Sciences Laboratory. http://www.fs.fed.us/database/feis/plants/shrub/cytspp/all.html. Accessed October 24, 2014Google Scholar