Quantifying intra-urban morphology of the Greater Dublin area with spatial metrics derived from medium resolution remote sensing data

2009 Joint Urban Remote Sensing Event

Volumn , Issue , 2009, Pages

  Van De Voorde, Tim ^a   Canters, Frank ^a   Van Der Kwast, Johannes ^b   Engelen, Guy ^b   Binard, Marc ^c   Cornet, Yves ^c  

^a VRIJE UNIVERSITEIT BRUSSEL   (Belgium)

^b FLEMISH INSTITUTE FOR TECHNOLOGICAL RESEARCH VITO   (Belgium)

^c UNIVERSITY OF LIÈGE   (Belgium)

Author keywords

[No Author keywords available]

Indexed keywords

BUILDING BLOCKES; CHANGE PROCESS; CLASSIFICATION TREES; CUMULATIVE FREQUENCY DISTRIBUTION; GREATER DUBLIN AREAS; LAND USE TYPE; LANDSAT ETM+; LEAST-SQUARES APPROACH; LOWER RESOLUTION; REMOTE SENSING DATA; SIGMOID FUNCTION; SPATIAL METRICS; SPATIALLY EXPLICIT; STRUCTURAL CHARACTERISTICS; SUB PIXELS; SUB-PIXEL CLASSIFICATION; SURFACE DATA; URBAN MORPHOLOGY;

FORESTRY; LAND USE; METRIC SYSTEM; MORPHOLOGY; PIXELS; REMOTE SENSING;

SATELLITE IMAGERY;

ANATOMY; FORESTRY; IMAGE ANALYSIS; LAND USE; REMOTE SENSING; SATELLITES;

EID: 70350147602     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/URS.2009.5137595     Document Type: Conference Paper

References (21)

1. G. Martine, The State of the World Population 2007. New York: United Nations Population Fund, 2008.
2. European Environment Agency (EAA), Urban Sprawl in Europe - the Ignored Challenge. Brussels: OOPEC, EAA report 10, 2006.
3. M. Herold, H. Couclelis, and K.C. Clarke, "The role of spatial metrics in the analysis and modelling of urban land use change," Comput. Environ. Urban, vol. 29, pp. 369-399, 2005
4. P.M. Torrens, "A toolkit for measuring sprawl," Applied Spatial Analysis, vol. 1, pp. 5-36, 2008
5. W. Ji, J. Ma, R.W. Twibell, and K. Underhill, "Characterising urban sprawl using multi-stage remote sensing images and landscape metrics," Comput. Environ. Urban, vol. 30, pp. 861-879, 2006.
6. S. Barr and M. Barnsley, "A region-based, graph-theoretic data model for the inference of second-order thematic information from remotely sensed images," Int. J. Geogr. Inf. Sci., vol. 11, pp. 555-576, 1997.
7. P. Kitchen, "Identifying changes of urban social change in Dublin - 1986 to 1996," Irish Geogr., vol 35, pp. 156-174, 2002.
8. M.J. Bannon, "The Greater Dublin Region: planning for its transformation and development," in Dublin: Contemporary Trends and Issues for the Twenty-first Century, J. Killen and A. MacLaran, Eds. Dublin: Geographical Society of Ireland, 1999, pp. 1-19.
9. R.R. Irish, Landsat 7 Science Data Users Handbook. Greenbelt, MD: NASA, 2007.
10. F. van der Meer, "Image classification through spectral unmixing," in: Spatial Statistics for Remote Sensing, A. Stein, F. van der Meer, and B. Gorte, Eds. Dordrecht: Kluwer Academic Publishers, 1999, pp. 185-193.
11. T. Rashed, J.R. Weeks, D. Stow, and D. Fugate, "Measuring temporal composition of urban morphology through spectral mixture analysis: towards a soft approach of change analysis in crowded cities," Int. J. Remote Sens., vol 26, pp. 699-718, 2005.
12. M.K. Ridd, "Exploring a V-I-S (Vegetation-Impervious Surface-Soil) model for urban ecosystem analysis through remote sensing - Comparative anatomy for cities," Int. J. Remote Sens., vol. 16, pp. 2165-2185, 1995.
13. C. Wu, "Normalized spectral mixture analysis for monitoring urban composition using ETM+ imagery," Remote Sens. Environ., vol. 93, pp. 480-492, 2004.
14. S. Phinn, M. Stanford, P. Scarth, A.T. Murray and P.T. Shyy, "Monitoring the composition of urban environments based on the vegetation-impervious-soil (VIS) model by subpixel analysis techniques," Int. J. Remote Sens., vol. 23, pp. 4131-4153, 2002.
15. T. Van de Voorde, T. De Roeck and F. Canters, "A comparison of two spectral mixture modelling approaches for impervious surface mapping in urban areas," Int. J. Remote Sens., in press.
16. rd ed. Berlin: Springer, 2001.
17. T. Van de Voorde, W. De Genst, and F. Canters, "Improving pixel-based VHR land-cover classifications of urban areas with post-classification techniques," Photogramm. Eng. Remote Sens., vol. 73, pp. 1017-1027, 2007.
18. J. Huang, X.X. Lu, and J.M. Sellers, "A global comparative analysis of urban form: applying spatial metrics and remote sensing," Landscape Urban Plan., vol. 82, pp. 184-197, 2007.
19. K. C. Seto and M. Fragkias, "Quantifying spatiotemporal patterns of urban land-use change in four cities of China with time series landscape metrics," Landscape Ecol., vol. 20, pp. 871-888, 2005.
20. Y.C. Weng, "Spatiotemporal changes of landscape pattern in response to urbanization," Landscape Urban Plan., vol. 81, pp. 341-353, 2007.
21. L. Breiman, J.H. Freidman, R.A. Olshen, and C.J. Stone, Classification and Regression Trees. Belmont, CA: Wadsworth International Group, 1984.