Integrating conventional classifiers with a GIS expert system to increase the accuracy of invasive species mapping

International Journal of Applied Earth Observation and Geoinformation

Volumn 13, Issue 3, 2011, Pages 487-494

  Masocha, Mhosisi ^a,b   Skidmore, Andrew K ^b  

^a UNIVERSITY OF ZIMBABWE   (Zimbabwe)

^b UNIVERSITY OF TWENTE   (Netherlands)

Author keywords

Image classification; Invasion; Lantana camara; Remote sensing; Savanna; Zimbabwe

Indexed keywords

ARTIFICIAL NEURAL NETWORK; EXPERT SYSTEM; GIS; IMAGE CLASSIFICATION; INVASIVE SPECIES; LAND MANAGEMENT; MAPPING; REMOTE SENSING; SAVANNA; SHRUB;

ZIMBABWE;

LANTANA; LANTANA CAMARA;

EID: 79955579210     PISSN: 15698432     EISSN: 1872826X     Source Type: Journal    
DOI: 10.1016/j.jag.2010.10.004     Document Type: Article

References (63)

1. Abrams, M., 2000. The Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER): data products for the high spatial resolution imager on NASA's Terra platform. International Journal of Remote Sensing 21 (5), 847-859.
2. Anderson, G.L., Everitt, J.H., Richardson, A.J., Escobar, D.E., 1993. Using satellite data to map False Broomweed (Ericameria austrotexana) infestations on South Texas Rangelands. Weed Technology 7 (4), 865-871.
3. ARMC-ANZ, 2001. Weeds of National Significance Lantana (Lantana camara) Strategic Plan. Australian and New Zealand Environment and Conservation Council and Forestry Ministers, National Weeds Strategy Executive Committee, Launceston.
4. Asner, G.P., et al., 2008. Invasive plants transform the three-dimensional structure of rain forests. Proceedings of the National Academy of Sciences of the United States of America 105 (11), 4519-4523.
5. Asner, G.P., Vitousek, P.M., 2005. Remote analysis of biological invasion and biogeochemical change. Proceedings of the National Academy of Sciences of the United States of America 102 (12), 4383-4386.
6. Atkinson, P.M., Tatnall, A.R.L., 1997. Introduction-neural networks in remote sensing. International Journal of Remote Sensing 18 (4), 699-709.
7. Beven, K., 2008. Environmental Modelling: An Uncertain Future? Routledge, London, New York.
8. Chapin III, F.S., et al., 2000. Consequences of changing biodiversity. Nature 405 (6783), 234-242.
9. Chenje, M., Sola, L., Paleczny, D., 1998. The State of Zimbabwe's Environment. Government of Zimbabwe, Ministry of Environment and Tourism, Harare.
10. Cilliers, C.J., Neser, S., 1999. Biological control of Lantana camara (Verbenaceae) in South Africa. Agriculture, Ecosystems and Environment, 57-75.
11. Clevers, J., et al., 2002. Derivation of the red edge index using the MERIS standard band setting. International Journal of Remote Sensing 23 (16), 3169-3184.
12. Coates-Palgrave, M., 2002. Trees of Southern Africa. Struik Publishers, Cape Town.
13. Congalton, R.G., 1991. A review of assessing the accuracy of classifications of remotely sensed data. Remote Sensing of Environment 37 (1), 35-46.
14. Cronk, Q.C.B., Fuller, J.L., 2001. Plant Invaders: The Threat to Natural Ecosystems. Earthscan, London.
15. CSO, 2004. Zimbabwe Census 2002: Provincial Profile-Masvingo. Central Statistical Office, Harare.
16. Day, M.D., Wiley, C.J., Playford, J., Zalucki, M.P., 2003. Lantana: Current Management Status and Future Prospects. ACIAR, Canberra.
17. Ewel, J.J., et al., 1999. Deliberate introductions of species: research needs-benefits can be reaped, but risks are high. BioScience 49 (8), 619-630.
18. Foody, G.M., 2004. Thematic map comparison: evaluating the statistical significance of differences in classification accuracy. Photogrammetric Engineering and Remote Sensing 70 (5), 627-633.
19. Foody, G.M., Mathur, A., 2004. Toward intelligent training of supervised image classifications: directing training data acquisition for SVM classification. Remote Sensing of Environment 93 (1-2), 107-117.
20. Foody, G.M., Mathur, A., 2006. The use of small training sets containing mixed pixels for accurate hard image classification: training on mixed spectral responses for classification by a SVM. Remote Sensing of Environment 103 (2), 179-189.
21. Fowler, N.L., 2002. The joint effects of grazing, competition, and topographic position on six savanna grasses. Ecology 83 (9), 2477-2488.
22. Foxcroft, L.C., Freitag-Ronaldson, S., 2007. Seven decades of institutional learning: managing alien plant invasions in the Kruger National Park, South Africa. Oryx 41 (2), 160-167.
23. Gentle, C.B., Duggin, J.A., 1997. Lantana camara L. invasions in dry rainforest-open forest ecotones: the role of disturbances associated with fire and cattle grazing. Australian Journal of Ecology 22, 298-306.
24. Gentle, C.B., Duggin, J.A., 1998. Interference of Choricarpia leptopetala by Lantana camara with nutrient enrichment in mesic forests on the Central Coast of NSW. Plant Ecology 136, 205-211.
25. Hamada, Y., Stow, D.A., Coulter, L.L., Jafolla, J.C., Hendricks, L.W., 2007. Detecting Tamarisk species (Tamarix spp.) in riparian habitats of Southern California using high spatial resolution hyperspectral imagery. Remote Sensing of Environment 109 (2), 237-248.
26. Henderson, L., 2007. Invasive, naturalized and casual alien plants in southern Africa: a summary based on the Southern African Plant Invaders Atlas (SAPIA). Bothalia 37 (2), 215-248.
27. Hierro, J.L., Maron, J.L., Callaway, R.M., 2005. A biogeographical approach to plant invasions: the importance of studying exotics in their introduced and native range. Journal of Ecology 93, 5-15.
28. Holm, L., Doll, J., Holm, E., Pancho, J., Herberger, J., 1997. World Weeds: Natural Histories and Distribution. John Wiley and Sons, New York, p. 1129.
29. Hooper, D.U., Chapin, F.S., Ewel, J.J., Hector, A., 2005. Effects of biodiversity on ecosystem functioning: a consensus of current knowledge. Ecological Monographs 75, 3-35.
30. Joshi, C., et al., 2006. Indirect remote sensing of a cryptic forest understorey invasive species. Forest Ecology and Management 1 (3), 245-256.
31. Karimi, Y., Prasher, S.O., Patel, R.M., Kim, S.H., 2006. Application of support vector machine technology for weed and nitrogen stress detection in corn. Computers and Electronics in Agriculture 51 (1-2), 99-109.
32. Lavorel, S., Prieur-Richard, A.H., Grigulus, K., 1999. Invasibility and diversity of plant communities: from patterns to processes. Diversity and Distributions 5, 41-49.
33. Le Maitre, D.C., Van Wilgen, B.W., Chapman, R.A., McKelly, D.H., 1996. Invasive plants and water resources in the Western Cape Province, South Africa: modelling the consequences of a lack of management. Journal of Applied Ecology 33 (1), 161-172.
34. Le Maitre, D.C., et al., 2002. Invasive alien trees and water resources in South Africa: case studies of the costs and benefits of management. Forest Ecology and Management 160 (1-3), 143-159.
35. Liu, X.H., Skidmore, A.K., Van Oosten, H., 2002. Integration of classification methods for improvement of land-cover map accuracy. ISPRS Journal of Photogrammetry and Remote Sensing 56 (4), 257-268.
36. Lu, D., Weng, Q., 2007. A survey of image classification methods and techniques for improving classification performance. International Journal of Remote Sensing 28 (5), 823-870.
37. Mack, R.N., et al., 2000. Biotic invasions: causes, epidemiology, global consequences, and control. Ecological Applications 10 (3), 689-710.
38. Mack, R.N., Von Holle, B., Meyerson, L.A., 2007. Assessing invasive alien speciesa cross multiple spatial scales: working globally and locally. Frontiers in Ecology and the Environment 5 (4), 217-220.
39. Madden, M., 2004. Remote sensing and geographic information system operations for vegetation mapping of invasive exotics. Weed Technology 18, 1457-1463.
40. Masocha, M., Kariaga, B.M., 2001. Identification of medicinal plants used in the treatment of human abdominal diseases: the case of Mutirikwi communal area of Zimbabwe. Geographical Journal of Zimbabwe 32, 1-10.
41. Nangendo, G., Skidmore, A.K., Van Oosten, H., 2007. Mapping East African tropical forests and woodlands-a comparison of classifiers. ISPRS Journal of Photogrammetry and Remote Sensing 61 (6), 393-404.
42. Pellikka, P.K.E., Lötjönen, M., Siljander, M., Lens, L., 2009. Airborne remote sensing of spatiotemporal change (1955-2004) in indigenous and exotic forest cover in the Taita Hills, Kenya. International Journal of Applied Earth Observation and Geoinformation 11 (4), 221-232.
43. Rejmánek, M., Richardson, D.M., Pyšek, P., 2005. Plant invasions and invasibility of plant communities. In: Van der Maarel, E. (Ed.), Vegetation Ecology. Blackwell Publishing, Oxford, pp. 332-355.
44. Sanchez-Hernandez, C., Boyd, D.S., Foody, G.M., 2007. Mapping specific habitats from remotely sensed imagery: support vector machine and support vector data description based classification of coastal saltmarsh habitats. Ecological Informatics 2, 83-88.
45. Scherr, S.J., 1999. Soil Degradation: A Threat to Developing-country Food Security by 2020. International Food Policy Research Institute (IFPRI).
46. Schmidt, K.S., et al., 2004. Mapping coastal vegetation using an expert system and hyperspectral imagery. Photogrammetric Engineering and Remote Sensing 70 (6), 703-715.
47. Skidmore, A.K., 1989. An expert system classifies Eucalyptus forest types using Landsat Thematic Mapper data and a digital terrain model. Photogrammetric Engineering and Remote Sensing 55 (10), 1449-1464.
48. Skidmore, A.K., 1990. Terrain position as mapped from a gridded digital elevation model. International Journal of Geographical Information Systems 4 (1), 33-49.
49. Skidmore, A.K., 1999. Accuracya ssessment of spatial information. In: Stein, A., Vand e Meer, F., Gorte, B. (Eds.), Spatial Statistics for Remote Sensing. Kluwer Academic Publishers, Dordretcht, pp. 197-209.
50. Skidmore, A.K., Brinkhof, W., Turner, B.J., 1997. Performance of a neural network: mapping forests using GIS and remotely sensed data. Photogrammetric Engineering and Remote Sensing 63, 501-514.
51. Skidmore, A.K., Ryan, P.J., Dawes, W., Short, D., Loughlin, E., 1991. Use of an expert system to map forest soils from a geographical information system. International Journal of Geographical Information Science 5 (4), 431-445.
52. Skidmore, A.K., Watford, F., Luckananurug, P., Ryan, P.J., 1996. An operational GIS expert system for mapping forest soils. Photogrammetric Engineering & Remote Sensing 62 (5), 501-511.
53. Sorensen, R., Zinko, U., Seibert, J., 2006. On the calculation of the topographic wetness index: evaluation of different methods based on field observations. Hydrology and Earth System Sciences 10 (1), 101-112.
54. Stefanov, W.L., Ramsey, M.S., Christensen, P.R., 2001. Monitoring urban land cover change: an expert system approach to land cover classification of semiarid to arid urban centers. Remote Sensing of Environment 77 (2), 173-185.
55. Swarbrick, J.T., Willson, B.W., Hannan-Jones, M.A., 1995. The biology of Australian weeds 25. Lantana camara L. Plant Protection Quarterly 10, 82-95.
56. Syed, Z., Guerin, P.M., 2004. Tsetse flies are attracted to the invasive plant Lantana camara. Journal of Insect Physiology 50, 43-50.
57. Underwood, E., Ustin, S., DiPietro, D., 2003. Mapping nonnative plants using hyperspectral imagery. Remote Sensing of Environment 86, 150-161.
58. Ustin, S.L., et al., 2005. Mapping Invasive Plant Species in the Sacramento San Joaquin Delta Region Using Hyperspectral Remote Imagery. CSTARS/CalSpace, Sacramento, p. 45.
59. Vaiphasa, C., Skidmore, A.K., de Boer, W.F., 2006. A post-classifier for mangrove mapping using ecological data. Isprs Journal of Photogrammetry and Remote Sensing 61 (1), 1-10.
60. Van Oudtshoorn, F., 2006. Guide to Grasses of Southern Africa. Briza Publications, Cape Town.
61. Vapnik, V.N., 1999. An overview of statistical learning theory. IEEE Transactions on Neural Networks 10 (5).
62. Vincent, V., Thomas, R.G., 1960. Agro-ecological Survey. Government of Southern Rhodesia, Salisbury.
63. Wang, T.J., Skidmore, A.K., Toxopeus, A.G., 2009. Improved understorey bamboo cover mapping using a novel hybrid neural network and expert system. International Journal of Remote Sensing 30 (4), 965-981.