Automating land cover mapping of Scotland using expert system and knowledge integration methods

Remote Sensing of Environment

Volumn 115, Issue 5, 2011, Pages 1285-1295

  Aitkenhead, M J ^a   Aalders I H , ^a  

^a SCOTTISH CROP RESEARCH INSTITUTE   (United Kingdom)

Author keywords

Expert system; Land cover; LCS88; Neural network; Scotland

Indexed keywords

BAYESIAN STATISTICS; CLASSIFICATION SYSTEM; DATA INTERPRETATION; DATA SETS; DATA SOURCE; FUZZY K-MEANS; INTEGRATION METHOD; INTEGRATION RULE; INTERPRETATION METHODS; KNOWLEDGE INTEGRATION; LAND COVER; LAND COVER MAPPING; LAND COVER MAPS; LCS88; MAPPING ACCURACY; MULTIPLE DATA SOURCES; NEURAL NETWORK MODEL; OVERALL EFFECTIVENESS; SCOTLAND; SPATIAL DATASETS;

DECISION TREES; EXPERT SYSTEMS; LANDFORMS; NEURAL NETWORKS; PROBLEM SOLVING; STRUCTURAL ANALYSIS; SYSTEMS ANALYSIS;

MAPPING;

BAYESIAN ANALYSIS; DATA SET; DECISION SUPPORT SYSTEM; FUTURE PROSPECT; FUZZY MATHEMATICS; LAND COVER;

SCOTLAND; UNITED KINGDOM;

EID: 79952073445     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2011.01.012     Document Type: Article

References (73)

1. Aitkenhead M.J., Dyer R. Improving land cover classification using recognition threshold neural networks. Photogrammetric Engineering & Remote Sensing 2007, 73(4):413-421.
2. Akbari M., Mamanpoush A.R., Gieske A., Miranzadeh M., Torabi M., Salemi H.R. Crop and land cover classification in Iran using Landsat 7 imagery. International Journal of Remote Sensing 2006, 27(19):4117-4135.
3. Amarsaikhan D., Douglas T. Data fusion and multisource image classification. International Journal of Remote Sensing 2004, 25(17):3529-3539.
4. Amarsaikhan D., Ganzorig M., Ache P., Blotevogel H. The integrated use of optical and InSAR data for urban land-cover mapping. International Journal of Remote Sensing 2007, 28:1161-1171.
5. Armston J.D., Scarth P.F., Phinn S.R., Danaher T.J. Analysis of multi-date MISR measurements for forest and woodland communities, Queensland, Australia. Remote Sensing of Environment 2007, 107:287-298.
6. Baker C., Lawrence R., Montagne C., Patten D. Mapping wetlands and riparian areas using Landsat ETM+ and decision-tree-based models. Wetlands 2006, 26(2):465-474.
7. Baldyga T.J., Miller S.N., Driese K.L., Gichaba C.M. Assessing land cover change in Kenya's Mau Forest region using remotely sensed data. African Journal of Ecology 2008, 46(1):46-54.
8. Bishop C.M. Neural networks pattern recognition 1995, Oxford University Press, Oxford, 482 pp.
9. Bork E.W., Su J.G. Integrating LIDAR data and multispectral imagery for enhanced classification of rangeland vegetation: A meta analysis. Remote Sensing of Environment 2007, 111(1):11-24.
10. Brown I. Modelling future landscape change on coastal floodplains using a rule-based GIS. Environmental Modelling 2006, 21:1479-1490.
11. Busetto L., Meroni M., Colombo R. Combining medium and coarse spatial resolution satellite data to improve the estimation of sub-pixel NDVI time series. Remote Sensing of Environment 2008, 112:118-131.
12. Buyantuyev A., Wu J., Gries C. Estimating vegetation cover in an urban environment based on Landsat ETM+ imagery: A case study in Phoenix, USA. International Journal of Remote Sensing 2007, 28(2):269-291.
13. Carré F., McBratney A.B. Digital terron mapping. Geoderma 2005, 128:340-353.
14. Cohen P.R. Heuristic reasoning about uncertainty: An artificial intelligence approach 1985, Pitman Advanced Publishing, Boston.
15. Cohen Y., Shoshany M. Analysis of convergent evidence in an evidential reasoning knowledge-based classification. Remote Sensing of Environment 2005, 96:518-528.
16. Comber A.J., Law A.N.R., Lishman J.R. A comparison of Bayes' Dempster-Shafer and Endorsement theories for managing knowledge uncertainty in the context of land cover monitoring. Computers, Environment and Urban Systems 2004, 28:311-327.
17. De la Fuente de Val G., Atauri J.A., de Lucio J.V. Relationship between landscape visual attributes and spatial pattern indices: A test study in Mediterranean-climate landscapes. Landscape and Urban Planning 2006, 77:393-407.
18. Definiens http://www.definiens.com.
19. Dempster A.P. A generalization of Bayesian inference. Journal of Royal Statistical Society 1968, 30:205-247.
20. Di Gregorio A., Jansen L.J.M. Land Cover Classification System (LCCS): Classification concepts and user manual. FAO, 2000 2000.
21. Evans T.P., Kelley H. Assessing the transition from deforestation to forest regrowth with an agent-based model of land cover change for south-central Indiana (USA). Geoforum 2008, 39(2):819-832.
22. Foody G.M. Thematic map comparison: Evaluating the statistical significance of differences in classification accuracy. Photogrammetric Engineering and Remote Sensing 2004, 70(5):627-633.
23. Foody G.M., Mathur A., Sanchez-Hernandez C., Boyd D.S. Training set size requirements for the classification of a specific class. Remote Sensing of Environment 2006, 104:1-14.
24. Friedl M.A., McIver D.K., Hodges J.C.F., Zhang X.Y., Muchoney D., Strahler A.H., Woodcock C.E., Gopal S., Schneider A., Cooper A., Baccini A., Gao F., Schaaf C. Global land cover mapping from MODIS: Algorithms and early results. Remote Sensing of Environment 2002, 83:287-302.
25. Fuller R.M., Smith G.M., Devereux B.J. The characterisation and measurement of land cover change through remote sensing: Problems in operational applications?. International Journal of Applied Earth Observation and Geoinformation 2003, 4:243-253.
26. Garzón M.B., Bladek R., Neteler M., De Dios R.S. Predicting habitat suitability with machine learning models: The potential area of Pinus sylvestris L. in the Iberian Peninsula. Ecological Modelling 2006, 197:383-393.
27. Hester A.J., Miller D.R., Towers W. Landscape-scale vegetation change in the Cairngorms, Scotland, 1946-1988: Implications for land management. Biological Conservation 1996, 77:41-51.
28. Hilbert K.W. Land cover change within the Grand Bay National Estuarine Research Reserve: 1974-2001. Journal of Coastal Research 2006, 22(6):1552-1557.
29. Holland D.A., Boyd D.S., Marshall P. Updating topographic mapping in Great Britain using imagery from high-resolution satellite sensors. ISPRS Journal of Photogrammetry and Remote Sensing 2006, 60:212-223.
30. Huang M., Gong J., Shi Z., Liu C., Zhang L. Genetic algorithm-based decision tree classifier for remote sensing mapping with SPOT-5 data in the HongShiMao watershed of the loess plateau, China. Neural Computing & Applications 2007, 16:513-517.
31. Hüttich C., Herold M., Schmullius C., Egorov V., Bartalev S.A. Indicators of Northern Eurasia's land-cover change trends from SPOT-VEGETATION time-series analysis 1998-2005. International Journal of Remote Sensing 2007, 28(18):4199-4206.
32. Jobanputra R., Clausi D.A. Preserving boundaries for image texture segmentation using grey level co-occurring probabilities. Pattern Recognition 2006, 39:234-245.
33. Kavzoglu T. Increasing the accuracy of neural network classification using refined training data. Environmental Modelling and Software 2009, 24(7):850-858.
34. Kayitakire F., Hamel C., Defourny P. Retrieving forest structure variables based on image texture analysis and IKONOS-2 imagery. Remote Sensing of Environment 2006, 102:390-401.
35. Kuplich T.M. Classifying regenerating forest stages in Amazônia using remotely sensed images and a neural network. Forest Ecology and Management 2006, 234:1-9.
36. Labrecque S., Fournier R.A., Luther J.E., Piercey D. A comparison of four methods to map biomass from Landsat-TM and inventory data in Western Newfoundland. Forest Ecology and Management 2006, 226:129-144.
37. Lawrence R., Hurst R., Weaver T., Aspinall R. Mapping prairie pothole communities with multitemporal Ikonos satellite imagery. Photogrammetric Engineering and Remote Sensing 2006, 72:169-174.
38. Lee S., Choi J. Landslide susceptibility mapping using GIS and the weight-of-evidence model. International Journal of Geographical Information Science 2004, 18(8):789-814.
39. Liao S.-H. Expert system methodologies and applications - A decade review from 1995 to 2004. Expert Systems with Applications 2005, 28:93-103.
40. Liu J., Tian H., Liu M., Zhuang D., Melillo J.M., Zhang Z. China's changing landscape during the 1990s: Large-scale land transformations estimated with satellite data. Geophysical Research Letters 2005, 32(2):1-5.
41. Liu X.P., Li X., Zhang X.H. Determining class proportions within a pixel using a new mixed-label analysis method. IEEE Transactions on Geoscience and Remote Sensing 2010, 48(4):1882-1891.
42. Lucas R.M., Cronin N., Moghaddam M., Lee A., Armston J., Bunting P., Witte C. Integration of radar and Landsat-derived foliage projected cover for woody regrowth mapping, Queensland, Australia. Remote Sensing of Environment 2006, 100:388-406.
43. Macaulay Institute for Soil Research Organization and methods of the 1:250 000 soil survey of Scotland 1984, University Press, Aberdeen.
44. Macaulay Land Use Research Institute The land cover of Scotland: Final report 1993, University Press, Aberdeen.
45. MacDonald A.M., Matthews K.B., Paterson E., Aspinall R.J. The impact of climate change on the soil/moisture regime of Scottish mineral soils. Environmental Pollution 1994, 83(1-2):245-250.
46. Mackin K.J., Nunohiro E., Ohshiro M., Yamasaki K. Land cover classification from MODIS satellite data using probabilistically optimal ensemble of artificial neural networks. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2006, 4253(LNAI-III):820-826.
47. Masek J.G., Honzak M., Goward S.N., Liu P., Pak E. Landsat-7 ETM+ as an observatory for land cover: Initial radiometric and geometric comparisons with Landsat-5 Thematic Mapper. Remote Sensing of Environment 2001, 78:118-130.
48. Matthews K.B., MacDonald A., Aspinall R.J., Hudson G., Law A.N.R., Paterson E. Climatic soil moisture deficit - Climate and soil data integration in a GIS. Climatic Change 1994, 28(3):273-287.
49. McIver D.K., Friedl M.A. Using prior probabilities in decision-tree classification of remotely sensed data. Remote Sensing of Environment 2002, 81:253-261.
50. Nadeau L.B., Englefield P. Fine-resolution mapping of wildfire fuel types for Canada: Fuzzy logic modelling for an Alberta pilot area. Environmental Monitoring and Assessment 2006, 120:127-152.
51. NASA Landsat Program Landsat TM, USGS, Sioux Falls 1995.
52. Nemmour H., Chibani Y. Multiple support vector machines for land cover change detection: An application for mapping urban extensions. ISPRS Journal of Photogrammetry and Remote Sensing 2006, 61(2):125-133.
53. Nguyen M.Q., Atkinson P.M., Lewis H.G. Superresolution mapping using a Hopfield neural network with fused images. IEEE Transactions on Geoscience and Remote Sensing 2006, 44:736-749.
54. Ordnance Survey http://www.OrdnanceSurvey.co.uk.
55. Pacheco A., McNairn H., Smith A.M. Multispectral indices and advanced classification techniques to detect percent residue cover over agricultural crops using landsat data. Proceedings of SPIE - The International Society for Optical Engineering 2006, 6298. article no. 62981C.
56. Pan Z., Lian H., Hu G., Ni G. An integrated model of intrusion detection based on neural networks and expert system. Proceedings - International Conference on Tools with Artificial Intelligence, ICTAI 2005 2005, 671-672. article no. 1563012.
57. Pereira H.M., Cooper H.D. Towards the global monitoring of biodiversity change. Trends in Ecology and Evolution 2006, 21(3):123-129.
58. Ramon Gonzales O.M. Assessing vegetation and land cover changes in Northeastern Puerto Rico: 1978-1995. Caribbean Journal of Science 2001, 37(1-2):95-106.
59. Rottensteiner F., Trinder J., Clode S., Kubik K. Using the Dempster-Shafer method for the fusion of LIDAR data and multi-spectral images for building detection. Information Fusion 2005, 6:283-300.
60. Sanchez-Hernandez C., Boyd D.S., Foody G.M. Mapping specific habitats from remotely sensed imagery: Support vector machine and support vector data description based classification of coastal saltmarsh habitats. Ecological Informatics 2007, 2(2):83-88.
61. Schmit C., Rounsevell M.D.A., La Jeunesse I. The limitations of spatial land use data in environmental analysis. Environmental Science & Policy 2006, 9:174-188.
62. Shafer G.A. Mathematical theory of evidence 1976, Princeton University Press, Princeton, NJ.
63. Skelsey, C. (1997). A system for monitoring land cover. PhD thesis, Aberdeen University.
64. Skelsey C., Law A.N.R., Winter M., Lishman J.R. A system for monitoring land cover. International Journal of Remote Sensing 2003, 24(23):4853-4869.
65. Sullivan M., Cohen P.R. An endorsement-based plan recognition program. Proceedings of the 9th international joint conference on artificial intelligence 1985, 475-479. Morgan Kaufmann, Los Angeles. J.K. Aravind (Ed.).
66. Vijayaram T.R. Materials handling technology and significance of expert systems to select appropriate handling equipments in engineering industries: A review. Journal of Scientific and Industrial Research 2006, 65(8):619-624.
67. Wadsworth R.A., Hall J.R. Setting site specific critical loads: An approach using Endorsement Theory and Dempster-Shafer. Water, Air and Soil Pollution: Focus 2007, 7(1-3):399-405.
68. Wentz E.A., Stefanov W.L., Gries C., Hope D. Land use and land cover mapping from diverse data sources for an arid urban environments. Computers, Environment and Urban Systems 2006, 30:320-346.
69. Wiesmann A., ller U., Toan T.L., Santoro M., Werner C., Strozzi T. Use of ENVISAT ASAR wide-swath mode data over Siberia for large area land cover mapping, parameter retrieval, and change detection. International Geoscience and Remote Sensing Symposium (IGARSS) 2005, 5:3595-3598. Seoul. 2005 IEEE International Geoscience and Remote Sensing Symposium.
70. Wright G.G., Morrice J.G. Landsat TM spectral information to enhance the land cover of Scotland 1988 dataset. International Journal of Remote Sensing 1997, 18(18):3811-3834.
71. Wulder M.A., Dechka J.A., Gillis M.A., Luther J.E., Hall R.J., Beaudoin A., Franklin Operational mapping of the land cover of the forested area of Canada with Landsat data: EOSD land cover program. The Forestry Chronicle 2003, 79(6):1075-1083.
72. Yan H., Jiang Y., Zheng J., Fu B., Xiao S., Peng C. The internet-based knowledge acquisition and management method to construct large-scale distributed medical expert systems. Computer Methods and Programs in Biomedicine 2004, 74(1):1-10.
73. Zoran L.F.V., Golovanov C., Zoran M.A. Multisensor image fusion for Romanian Black Sea coastal zone analysis. Proceedings of SPIE - The International Society for Optical Engineering 2006, 6366. article no. 63660Z.