Object-based image analysis for detection of Japanese Knotweed s.l. taxa (polygonaceae) in Wales (UK)

Remote Sensing

Volumn 3, Issue 2, 2011, Pages 319-342

  Jones, Daniel ^a   Pike, Stephen ^a   Thomas, Malcolm ^a   Murphy, Denis ^a  

^a UNIVERSITY OF GLAMORGAN   (United Kingdom)

Author keywords

Algorithm; Definiens; Geographical information systems (GIS); Invasive alien species (IAS); Japanese Knotweed s.l. taxa; Object based image analysis (OBIA); Remote sensing (RS); S.l. (sensu lato); Very high spatial resolution (VHSR) imagery

Indexed keywords

ALIEN SPECIES; DEFINIENS; GEOGRAPHICAL INFORMATION SYSTEMS; JAPANESE KNOTWEED S.L. TAXA; OBJECT BASED IMAGE ANALYSIS; S.L. (SENSU LATO); VERY HIGH SPATIAL RESOLUTIONS;

AERIAL PHOTOGRAPHY; ALGORITHMS; GEOGRAPHIC INFORMATION SYSTEMS; IMAGE RESOLUTION; INFORMATION SYSTEMS; PLANTS (BOTANY); REMOTE SENSING;

IMAGE ANALYSIS;

EID: 80051875992     PISSN: None     EISSN: 20724292     Source Type: Journal    
DOI: 10.3390/rs3020319     Document Type: Article

References (50)

1. Kowarik, I. Human agency in biological invasions: Secondary releases foster naturalisation and population expansion of alien plant species. Biol. Invasions 2003, 5, 293-312.
2. Vitousek, P.M.; Antonio, C.M.D.; Loope, L.L.; Rejmánek, M.; Westbrooks, R. Introduced species: A significant component of human-caused global change. NZ J. Ecol. 1997, 21, 1-16.
3. Ward, S.M.; Gaskin, J.F.; Wilson, L.M. Ecological genetics of plant invasion: What do we know? Invasive Plant Sci. Manag. 2008, 1, 98-109.
4. Richardson, D.M.; Pyšek, P. Plant invasions: Merging the concepts of species invasiveness and community invasibility. Prog. Phys. Geog. 2006, 30, 409-431.
5. Bergstrom, D.M.; Lucieer, A.; Kiefer, K.; Wasley, J.; Belbin, L.; Pedersen, T.K.; Chown, S.L. Indirect effects of invasive species removal devastate World Heritage Island. J. App. Ecol. 2009, 46, 73-81. Remote Sens. 2011, 3
6. Gerber, E.; Krebs, C.; Murrell, C.; Moretti, M.; Rocklin, R.; Schaffner, U. Exotic invasive knotweeds (Fallopia spp.) negatively affect native plant and invertebrate assemblages in European riparian habitats. Biol. Cons. 2007, 141, 646-654.
7. Ramakrishnan, P.S.; Vitousek, P.M. Ecosystem-level processes and the consequences of biological invasions. In Biological Invasions: A Global Perspective; Drake, J.A., Mooney, H.A., Eds.; John Wiley & Sons Ltd.: Chichester, UK, 1989; pp. 281-313.
8. Vitousek, P.M.; Mooney, H.A.; Lubchenco, J.; Melilo, J.M. Human domination of Earth's ecosystems. Science 1994, 277, 494-499.
9. Dehaan, R.; Louis, J.; Wilson, A.; Hall, A.; Rumbachs, R. Discrimination of blackberry (Rubus fruticosus sp. Agg.) using hyperspectral imagery in Kosciuszko National Park, NSW, Australia. ISPRS J. Photogramm. 2007, 62, 13-24.
10. Reddy, C.S. Biological invasion-Global terror. Curr. Sci. 2008, 94, 229-235.
11. Ustin, S.L.; DiPietro, D.; Olmstead, K.; Underwood, E.; Scheer, G.J. Hyperspectral Remote Sensing for Invasive Species Detection and Mapping. In Proceedings of 2002 IEEE International Geoscience and Remote Sensing Symposium, Toronto, ON, Canada, 24-28 June 2002.
12. Joshi, C.; de Leeuw, J.; van Duren, I.C. Remote Sensing and GIS Applications for Mapping and Spatial Modelling of Invasive Species. In Proceedings of the XX ISPRS Congress: Geo-Imagery Bridging Continents, Istanbul, Turkey, 12-23 July 2004.
13. Barney, J.N.; Tharayil, N.; DiTommaso, A.; Bhowmik, P.C. The biology of invasive alien plants in Canada. 5. Polygonum cuspidatum Sieb. & Zucc. [= Fallopia japonica (Houtt.) Ronse Decr.]. Can. J. Plant Sci. 2006, 86, 887-905.
14. Beerling, D.J.; Bailey, J.P.; Conolly, A.P. Fallopia japonica (Houtt.) Ronse Decraene. J. Ecol. 1994, 82, 959-979.
15. Price, E.A.C.; Gamble, R.; Williams, G.G.; Marshall, C. Seasonal patterns of partitioning and remobilization of 14 C in the invasive rhizomatous perennial Japanese knotweed (Fallopia japonica (Houtt.) Ronse Decraene). Evol. Ecol. 2002, 15, 347-362.
16. Bailey, J.P.; Bímová, K.; Mandak, B. Asexual spread versus sexual reproduction and evolution in Japanese Knotweed s.l. sets the stage for the ?Battle of the Clones?. Biol. Invasions 2009, 11, 1189-1203.
17. Yasmin, G.; Khan, M.A.; Shaheen, N.; Hayat, M.Q.; Ahmad, M.; Zafar, M. Taxonomic utility of palynological characters in the genus Fallopia, family polygonaceae from Pakistan. Int. J. Agric. Biol. 2009, 11, 798-800.
18. Grimsby, J.L.; Kesseli, R. Genetic composition of invasive Japanese knotweed s.l. in the United States. Biol. Invasions 2009, 12, 1573-1467.
19. Lowe, S.; Browne, M.; Boudjelas, S.; Pooter, M.D. 100 of the World's Worst Invasive Alien Species: A Selection From the Global Invasive Species Database; United Nations (UN) Invasive Species Specialist Group (ISSG): Rome, Italy, 2004; p. 7.
20. Bailey, J.P.; Conolly, A.P. Prize-winners to pariahs-A history of Japanese Knotweed s.l. (Polygonaceae) in the British Isles. Watsonia 2000, 23, 93-110.
21. Bailey, J.P. Fallopia × conollyana The Railway-yard Knotweed. Watsonia 2001, 23, 539-541.
22. Stace, C. New Flora of the British Isles, 2nd ed.; Cambridge University Press: Cambridge, UK, 1997; pp. 186-187. Remote Sens. 2011, 3
23. Bashtanova, U.B.; Beckett, K.P.; Flowers, T.J. Review: Physiological approaches to the improvement of chemical control of Japanese Knotweed (Fallopia japonica). Weed Sci. 2009, 57, 584-592.
24. Dassonville, N.; Vanderhoeven, S.; Gruber, W.; Meerts, P. Invasion by Fallopia japonica increases topsoil mineral nutrient concentrations. Ecoscience 2007, 14, 230-240.
25. Kabat, T. Are Japanese knotweed (Fallopia japonica) Control and Eradication Interventions Effective? Systematic Review No. 21; Centre for Evidence-Based Conservation (CEBC): Birmingham, UK, 2008; pp. 1-98.
26. Hulme, P.E.; Bacher, S.; Kenis, M.; Klotz, S.; Kühn, I.; Minchin, D.; Nentwig, W.; Olenin, S.; Panov, V.; Pergl, J.; Pyšek, P.; Roques, A.; Sol, D.; Solarz, W.; Vil, M. Grasping at the routes of biological invasions: A framework for integrating pathways into policy. J. App. Ecol. 2008, 33, 31-120.
27. Hautier, Y.; Niklaus, P.A.; Hector, A. Competition for light causes plant biodiversity loss after eutrophication. Science 2009, 324, 636-638.
28. Mathieu, R.; Aryal, J. Object-oriented classification and Ikonos multispectral imagery for mapping vegetation communities in urban areas. Sensors 2007, 7, 2860-2880.
29. Definiens. Definiens Developer Version 7 User Guide; Definiens AG: Munich, Germany, 2008.
30. Esch, T.; Thiel, M.; Bock, M.; Roth, A.; Dech, S. Improvement of image segmentation accuracy based on multiscale optimization procedure. IEEE Geosci. Remote Sens. Lett. 2008, 5, 463-467.
31. Laliberte, A.S.; Rango, A.; Havstad, K.M.; Paris, J.F.; Beck, R.F.; McNeely, R.; Gonzalez, A.L. Object-oriented image analysis for mapping shrub encroachment from 1937 to 2003 in southern New Mexico. Remote Sens. Environ. 2004, 93, 198-210.
32. Lang, S.; Blaschke, T. Bridging Remote Sensing and GIS-What Are the Main Supportive Pillars? In Proceedings of the 1st International Conference on Object-based Image Analysis (OBIA 2006), Salzburg, Austria, 4-5 July 2006.
33. Meinel, G.; Neubert, M. A comparison of segmentation programs for high resolution remote sensing data. Development 2006, 4, 2002-2008.
34. Jiang, N.; Zhang, J.X.; Li, H.T.; Lin, X.G. Object-Oriented Building Extraction by DSM and Very High-Resolution Orthoimages. In Proceedings of XXIth ISPRS Congress: Silk Road for Information from Imagery, Beijing, China, 3-11 July 2008; Volume XXXVII, Part B3b.
35. Benz, U.C.; Hofmann, P.; Willhauck, G.; Lingenfelder, I.; Heynen, M. Multi-resolution, object-oriented fuzzy analysis of remote sensing data for GIS-ready information. ISPRS J. Photogramm. 2004, 58, 239-258.
36. Zhang, X.; Friedl, M.A.; Schaaf, C.B.; Strahler, A.H.; Hodges, J.C.F.; Gao, F.; Reed, B.C.; Huete, A. Monitoring vegetation phenology using MODIS. Remote Sens. Environ. 2003, 84, 471-475.
37. Mathieu, R.; Aryal, J. Object-Oriented Classification and Ikonos Multispectral Imagery for Mapping Vegetation Communities in Urban Areas. In Proceedings of the SIRC 2005-The 17th Annual Colloquium of the Spatial Information Research Centre University of Otago, Dunedin, New Zealand, 24-25 November 2005. Remote Sens. 2011, 3
38. Gamanya, R.; De Maeyer, P.; De Dapper, M. An automated satellite image classification design using object-oriented segmentation algorithms: A move towards standardization. Expert Syst. Appl. 2007, 32, 616-624.
39. Lucas, R.; Rowlands, A.; Brown, A.; Keyworth, S.; Bunting, P. Rule-based classification of multi-temporal satellite imagery for habitat and agricultural land cover mapping. ISPRS J. Photogramm. 2007, 62, 165-185.
40. Wardlow, B.D.; Egbert, S.L.; Kastens, J.H. Analysis of time-series MODIS 250 m vegetation index data for crop classification in the US Central Great Plains. Remote Sens. Environ. 2007, 108, 290-310.
41. Frescino, T.S.; Moisen, G.G. Using Interpreted Large Scale Aerial Photo Data to Enhance Satellite-Based Mapping and Explore Forest Land Definitions. In Forest Inventory and Analysis (FIA) Symposium 2008; October 21-23, 2008; Park City, UT.; McWilliams, W., Moisen, G., Czaplewski, R., Eds.; Proc. RMRS-P-56CD; US Department of Agriculture, Forest Service, Rocky Mountain Research Station: Fort Collins, CO, USA 2009; 56, p. 16.
42. Herold, M.; Scepan, J.; Müller, A.; Gunther, S. Object-Oriented Mapping and Analysis of Urban Land Use/Cover Using IKONOS Data. In Proceedings of the 22nd EARSEL Symposium 'Geoinformation for European-Wide Integration', Prague, Czech, 4-6 June 2002.
43. EA. The Knotweed Code of Practice; Environment Agency (EA): Bristol, UK, 2008; pp. 10-14.
44. McCoy, R.M. Field Methods in Remote Sensing; The Guildford Press: New York, NY, USA, 2005; pp. 12-25.
45. Albrecht, F.; Lang, S.; Hölbling, D. Spatial Accuracy Assessment of Object Boundaries for Object-Based Image Analysis. In Proceedings of Geographic Object-Based Image Analysis, Ghent, Belgium, 29 June-2 July 2010; Volume XXXVIII, Part 4/C7.
46. Alberternst, B.; Böhmer, H.J. NOBANIS-Invasive Alien Species Fact Sheet-Fallopia japonica. Online Database of the North European and Baltic Network on Invasive Alien Species (NOBANIS), 2006. Available online: www.nobanis.org (accessed on 1 September 2009).
47. Bímová, K.; Mandák, B.; Pyšek, P. Experimental study of vegetative regeneration in four invasive Reynoutria taxa (Polygonaceae). Plant Ecol. 2003, 166, 1-11.
48. Herrick, J.E.; Bestelmeyer, B.T.; Archer, S.; Tugel, A.J.; Brown, J.R. An integrated framework for science-based arid land management. J. Arid Environ. 2006, 65, 319-335.
49. Edwards, C.; Taylor, S.L. Rhododendron Survey: Control Costs and Priority. Presented at Forest Research Technical Seminar, Argyll, Scotland, 11 June 2008.
50. Smith, J.M.D.; Ward, J.P.; Child, L.E.; Owen, M.R. A simulation model of rhizome networks for Fallopia japonica (Japanese knotweed) in the United Kingdom. Ecol. Model. 2007, 200, 421-432.