An object-based conceptual framework and computational method for representing and analyzing coastal morphological changes

International Journal of Geographical Information Science

Volumn 24, Issue 7, 2010, Pages 1015-1041

  Liu, Hongxing ^a   Wang, Lei ^b   Sherman, Douglas ^c   Gao, Yige ^c   Wu, Qiusheng ^a  

^a UNIVERSITY OF CINCINNATI   (United States)

^b LOUISIANA STATE UNIVERSITY   (United States)

^c TEXAS A AND M UNIVERSITY   (United States)

Author keywords

Coastal changes; LiDAR; Morphology; Object based shape and volumetric attributes

Indexed keywords

ALGORITHM; COASTAL MORPHOLOGY; CONCEPTUAL FRAMEWORK; EROSION; GIS; LIDAR; NUMERICAL METHOD; RESOURCE MANAGEMENT; SOFTWARE;

EID: 77953635154     PISSN: 13658816     EISSN: 13623087     Source Type: Journal    
DOI: 10.1080/13658810903270569     Document Type: Article

References (62)

1. Andrews, B.D., Gares, P.A., and Colby, J.D., 2002. Techniques for GIS modeling of coastal dunes. Geomorphology, 48, 289-308.
2. Arctur, D. and Zeiler, M., 2004. Designing geodatabases: case studies in GIS data modeling. Redland, CA: ESRI Press.
3. Baatz, M., et al., 2001. eCognition object oriented image analysis, user guide. Munchen, Germany: Definiens Imaging.
4. Bauer, B.O. and Davidson-Arnott, R.G.D., 2003. A general framework for modeling sediment supply to coastal dunes including wind angle, beach geometry, and fetch effects. Geomorphology, 49, 89-108.
5. Bian, L., 2000. Object-oriented representation for modelling mobile objects in an aquatic environment. International Journal of Geographical Information Science, 14 (7), 603-623.
6. Bian, L., 2007. Object-oriented representation of environmental phenomena: is everything best represented as an object? Annals of the Association of American Geographers, 97 (2), 267-281.
7. Blaschke, T. and Strobl, J., 2001. What's wrong with pixels? Some recent developments interfacing remote sensing and GIS. Zeitschrift fur Geoinformationssysteme, 6 (2001), 12-17.
8. Brock, J.C., Krabill, W.B., and Sallenger, A.H., 2004. Barrier island morphodynamic classification based on lidar metrics for north Assateague Island,Maryland. Journal of Coastal Research, 20 (2), 498-509.
9. Burrough, P.A., 1981. Fractal dimensions of landscapes and other environmental data. Nature, 294, 240-242.
10. Câmara, G., Freitas, U., and Casanova, M.A., 1995. Fields and objects algebras for GIS operations. Proceedings of III Brazilian Symposium on GIS. University Park, PA, Citeseer. 407-424.
11. Castilla, G. and Hay, G.J., 2008. Image objects and geographic objects. In: T. Blaschke, S. Lang, and G.J. Hay, eds. Object-based image analysis. Berlin: Springer, 91-110.
12. Chaudhuri, D. and Samal, A., 2007. A simple method for fitting of bounding rectangle to closed regions. Pattern Recognition, 40 (7), 1981-1989.
13. Couclelis, H., 1992. People manipulate objects (but cultivate fields): beyond the raster-vector debate in GIS. Lecture Notes in Computer Science, 639, 65-65.
14. Cova, T.J. and Goodchild, M.F., 2002. Extending geographical representation to include fields of spatial objects. International Journal of Geographical Information Science, 16 (6), 509-532.
15. Davis, J.C., 2002. Statistics and data analysis in geology. 3rd ed. New York: John Wiley & Sons, Inc.
16. Dolan, R., Fenster, M., and Holme, S., 1991. Temporal analysis of shoreline recession and accretion. Journal of Coastal Research, 7 (3), 723-744.
17. Egenhofer, M.J. and Frank, A., 1987, Object-oriented databases: database requirements for GIS. International Geographic Information Systems (IGIS) Symposium: The Research Agenda. Arlington, VA, 189-211.
18. Egenhofer, M.J. and Frank, A.U., 1992. Object-oriented modeling for GIS. URISA Journal, 4 (2), 3-19.
19. Finkl, C.W., Benedet, L., and Andrews, J.L., 2005. Interpretation of seabed geomorphology based on spatial analysis of high-density airborne laser bathymetry. Journal of Coastal Research, 21 (3), 501-514.
20. Fitzgibbon, A., Pilu, M., and Fisher, R.B., 1999. Direct least square fitting of ellipses. IEEE Transactions on Pattern Analysis and Machine Intelligence, 21 (5), 476-480.
21. Flusser, J. and Suk, T., 1993. Pattern recognition by affine moment invariants. Pattern Recognition, 26 (1),167-174.
22. Forman, R.T.T., 1995. Land Mosaics. Cambridge: Cambridge University Press.
23. Foroutan-pour, K., Dutilleul, P., and Smith, D.L., 1999. Advances in the implementation of the box- counting method of fractal dimension estimation. Applied Mathematics and Computation, 105 (2-3), 195-210.
24. Gahegan, M., 1996. Specifying the transformations within and between geographic data models. Transactions in GIS, 1, 137-152.
25. Galton, A., 2001. Space, time, and the representation of geographical reality. Topoi, 20 (2), 173-187.
26. Galton, A., 2004. Fields and objects in space, time, and space-time. Spatial Cognition & Computation, 4 (1),39-68.
27. Gares, P.A., Wang, Y., and White, S.A., 2006. Using LiDAR to monitor a beach nourishment project at Wrightsville Beach, North Carolina, USA. Journal of Coastal Research, 22 (5), 1206-1219.
28. Goodchild, M.F., 1992. Geographical data modeling. Computers & Geosciences, 18 (4), 401-408.
29. Goodchild, M.F., Yuan, M., and Cova, T.J., 2007. Towards a general theory of geographic representa- tion in GIS. International Journal of Geographical Information Science, 21 (3), 239-260.
30. Gutierrez, R., et al., 2001. Precise airborne lidar surveying for coastal research and geo-hazards applica- tions. International Archives of Photogrammetry and Remote Sensing, XXXXIV-3/W4, 185-194.
31. Hesp, P.A., et al., 2005. Flow dynamics over a foredune at Prince Edward Island, Canada. Geomorphology, 65, 71-84.
32. Leung, Y., Leung, K.S., and He, J.Z., 1999. A generic concept-based object-oriented geographical information system. International Journal of Geographical Information Science, 13 (5), 475-498.
33. Liu, H. and Jezek, K.C., 2004. Automated extraction of coastline from satellite imagery by integrating Canny edge detection and locally adaptive thresholding methods. International Journal of Remote Sensing, 25 (5), 937-958.
34. Liu, H., Sherman, D., and Gu, S., 2007. Automated extraction of shorelines from airborne light detection and ranging data and accuracy assessment based on Monte Carlo simulation. Journal of Coastal Research, 23, 1359-1369.
35. Mandelbrot, B.B., 1983. The fractal geometry of nature. New York: W.H. Freeman and Company.
36. McGarigal, K., et al., 2002. FRAGSTATS: spatial pattern analysis program for categorical maps. Computer software program produced by the authors at the University of Massachusetts, Amherst. Available from: http://www.umass.edu/landeco/research/fragstats/fragstats.html [Accessed 20 July 2009].
37. McGarigal, K. and Marks, B.J., 1995. FRAGSTATS: spatial pattern analysis program for quantifying landscape structure. Gen. Tech. Rep. PNW-GTR-351, 122. U.S. Department of Agriculture, Forest Service, Pacific Northwest Research Station.
38. Mulchrone, K.F. and Choudhury, K.R., 2004. Fitting an ellipse to an arbitrary shape: implications for strain analysis. Journal of Structural Geology, 26 (1), 143-153.
39. Parker, B.B., 2003. The difficulties in measuring a consistently defined shoreline: the problem of vertical referencing. Journal of Coastal Research, 38, 44-56.
40. Peuquet, D.J., 1988. Representations of geographic space: toward a conceptual synthesis. Annals of the Association of American Geographers, 78 (3), 375-394.
41. Peuquet, D.J., 1994. Its about time - a conceptual-framework for the representation of temporal dynamics in geographic information-systems. Annals of the Association of American Geographers, 84 (3), 441-461.
42. Pratt, W.K., 1991. Digital image processing. 2nd ed. New York: John Wiley & Sons, Inc.
43. Raper, J. and Livingstone, D., 1995. Development of a geomorphological spatial model using object- oriented design. International Journal of Geographical Information Systems, 9 (4), 359-383.
44. Rosin, P.L., 1993. Ellipse fitting by accumulating five-point fits. Pattern Recognition Letters, 14 (8), 661-669.
45. Rosin, P.L., 2003. Measuring shape: ellipticity, rectangularity, and triangularity. Machine Vision and Applications, 14 (3), 172-184.
46. Sallenger, A.H., et al., 2003. Evaluation of airborne topographic lidar for quantifying beach changes. Journal of Coastal Research, 19 (1), 125-133.
47. Shernman, D.J. and Bauer, B.O., 1993. Dynamics of beach-dune systems. Progress in Physical Geography, 17, 413-447.
48. Shrestha, R.L., et al., 2005. Airborne laser swath mapping: quantifying changes in sandy beaches over time scales of weeks to years. ISPRS Journal of Photogrammetry and Remote Sensing, 59 (4), 222-232.
49. Smith, B. and Mark, D.M., 2003. Do mountains exist? Towards an ontology of landforms. Environment and Planning B-Planning & Design, 30 (3), 411-427.
50. Sonka, M., Hlavac, V., and Boyle, R., 1999. Image processing, analysis, and machine vision. 2nd ed. Pacific Grove: Brooks/Cole Publishing Company.
51. Suesse, H. and Voss, K., 2001. A new efficient algorithm for fitting of rectangles and squares. Thessaloniki City: Institute of Electrical and Electronics Engineers Computer Society, 2, 809-812.
52. Tang, A.Y., Adams, T.M., and Usery, E.L., 1996. A spatial data model design for feature-based geographical information systems. International Journal of Geographical Information Systems, 10 (5),643-659.
53. Teague, M.R., 1980. Image-analysis via the general theory of moments. Journal of the Optical Society of America, 70 (8), 920-930.
54. Turner, M.G. and Gardner, R.H., eds., 1991. Quantitative methods in landscape ecology. New York: Springer-Verlag.
55. Turner, M.G., Gardner, R.H., and O'Neill, R.V., 2001. Landscape ecology in theory and practice. New York: Springer-Verlag.
56. Usery, E., 1993. Category theory and the structure of features in geographic information systems. Cartography and Geographic Information Science, 20 (1), 5-12.
57. Usery, E.L., 1996. A conceptual framework and fuzzy set implementation for geographic features. In: P.A. Burrough and A.U. Frank, eds. Geographic objects with indeterminate boundaries. London: Taylor & Francis, 71-86.
58. White, S.A. and Wang, Y., 2003. Utilizing DEMs derived from LIDAR data to analyze morphologic change in the North Carolina coastline. Remote Sensing of Environment, 85 (1), 39-47.
59. Worboys, M.F., 1994. Object-oriented approaches to geo-referenced information. International Journal of Geographical Information Systems, 8 (4), 385-399.
60. Wright, L.D. and Short, A.D., 1984. Morphodynamic variability of surf zones and beaches: a synthesis. Marine Geology, 56 (1-4), 93-118.
61. Wynn, T.J. and Stewart, S.A., 2005. Comparative testing of ellipse-fitting algorithms: implications for analysis of strain and curvature. Journal of Structural Geology, 27 (11), 1973-1985.
62. Zhang, K., et al., 2005. Quantification of beach changes caused by hurricane Floyd along Florida's Atlantic Coast using airborne laser surveys. Journal of Coastal Research, 21 (1), 123-134.