Using remote sensing derived spatial metrics for the calibration of land-use change models

2009 Joint Urban Remote Sensing Event

Volumn , Issue , 2009, Pages

  Van Der Kwast, Johannes ^a   Uljee, Inge ^a   Engelen, Guy ^a   Van De Voorde, Tim ^b   Canters, Frank ^b   Lavalle, Carlo ^c  

^a FLEMISH INSTITUTE FOR TECHNOLOGICAL RESEARCH VITO   (Belgium)

^b VRIJE UNIVERSITEIT BRUSSEL   (Belgium)

^c JOINT RESEARCH CENTRE   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

CALIBRATION PROCEDURE; EARTH OBSERVATION SATELLITES; FUNCTIONAL CLASS; HIGH-RESOLUTION MODELS; LAND COVER MAPS; LAND-USE CHANGE; LANDSCAPE METRICS; LANDUSE CLASSIFICATIONS; LEVEL OF ABSTRACTION; MAPPING METHODOLOGY; POLICY MAKERS; REFLECTIVE PROPERTIES; REMOTE SENSING IMAGES; REQUIRED TIME; SPATIAL DYNAMICS; SPATIAL METRICS; SPATIAL STRUCTURE; SPEED-UPS; URBAN LAND-USE CHANGE; URBAN SYSTEMS;

CALIBRATION; IMAGE RECONSTRUCTION; LAND USE; METRIC SYSTEM; REMOTE SENSING; TIME SERIES;

FORESTRY;

EID: 70350147601     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/URS.2009.5137596     Document Type: Conference Paper

References (30)

1. C. Agarwal, G. Green, J. Grove, T. P. Evans, and C. Schweik, "A review and assessment of land-use change models: dynamics of space, time, and human choice," US Department of Agriculture, Forest Service, Northeastern Research Station, Newton Square, PA, Gen. Tech. Rep. NE-297, 2002.
2. P. Gong, D. J. Marceau, and P. J. Howarth, "A comparison of spatial feature extraction algorithms for land-use classification with SPOT HRV data," Remote Sens. Environ., vol. 40, pp. 137-151, 1992.
3. M. J. Barnsley and S. L. Barr, "Distinguishing urban land-use categories in fine spatial resolution land-cover data using a graph-based, structural pattern recognition system," Comput., Environ. and Urban Systems, vol. 21, no. 3/4, pp. 209-225, 1997.
4. S. M. de Jong and F. van der Meer, Remote sensing image analysis, including the spatial domain, ser. Remote sensing and digital image processing. 5: Kluwer academic publishers, 2004.
5. D. C. Parker, T. P. Evans, and V. Meretsky, "Measuring emergent properties of agent-based land-cover/land-use models using spatial metrics," in Seventh annual conference of the international society for computational economics, Yale University, 2001, p. 24.
6. P. Torrens, "A toolkit for measuring sprawl," Appl. Spatial Analysis, vol. 1, pp. 5-36, 2008.
7. M. Herold, X. Liu, and K. C. Clarke, "Spatial metrics and image texture for mapping urban land use," Photogramm. Eng. Rem. S., vol. 69, no. 9, pp. 991-1001, 2003.
8. J. van der Kwast and G. Engelen, "Calibration of land use change models: the potential of spatial metrics," in 28th EARSeL Symposium and Workshops, Remote sensing for a changing Europe, R. Goossens, Ed. Istanbul: Millpress, Rotterdam, in press.
9. G. Engelen, R. White, and I. Uljee, "The MURBANDY and MOLAND models for dublin. final report," RIKS, Tech. Rep., 2002.
10. R. White, G. Engelen, and I. Uljee, "The use of constrained cellular automata for high-resolution modelling of urban land-use dynamics," Environment and Planning B: Planning and Design, vol. 24, pp. 323-343, 1997. [Online]. Available: http://www.envplan.com/abstract.cgi?id=b240323
11. A. Hagen-Zanker, B. Straatman, and I. Uljee, "Further developments of a fuzzy set map comparison approach," Int. J. Geogr. Inf. Sci., vol. 19, no. 7, pp. 769 - 785, 2005.
12. M. Barnsley and S. Barr, "Inferring urban land use from satellite sensor images using kernel-based analysis and classification," Photogramm. Eng. Rem. S., vol. 62, no. 8, pp. 949-958, 1996.
13. A. Alimohammadi and M. Shirkavand, "Optimization of the SPARK algorithm for land use mapping from remotely sensed data," in Geomatics conference 83. National Cartographic Center, 2004.
14. G. H. Ball and D. J. Hall, "ISODATA, a novel method of data analysis and pattern classification," Stanford Research Institute, Tech. Rep., Apr. 1965.
15. T. Kohonen, Self-Organizing Maps, 3rd ed. Berlin: Springer, 2001, vol. 30.
16. C. Wu, "Normalized spectral mixture analysis for monitoring urban composition using ETM+ imagery," Remote Sens. Environ., vol. 93, pp. 480-492, 2004.
17. C. Small, "The landsat ETM+ spectral mixing space," Remote Sens. Environ., vol. 93, pp. 1-17, 2004.
18. 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, The Netherlands: Kluwer Academic Publishers, 1999, pp. 185-193.
19. M. Ridd, "Exploring a vis (vegetationimpervious surfacesoil) model for urban ecosystem analysis through remote sensing - comparative anatomy for cities," Int. J. Remote Sens., vol. 16, pp. 2165-2185, 1995.
20. T. van de Voorde, J. Vlaeminck, and F. Canters, "Comparing different approaches for mapping urban vegetation cover from landsat ETM+ data: a case study on brussels," Sensors, vol. 8, no. 6, pp. 3880-3902, 2008.
21. 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. Rem. S., vol. 73, pp. 1017-1027, 2007.
22. T. van de Voorde, L. Demarchi, and F. Canters, "Multi-temporal spectral unmixing to characterise change in the urban spatial structure of the greater dublin area," in 28th EARSeL Symposium and Workshops, Remote sensing for a changing Europe, R. Goossens, Ed. Istanbul: Millpress, Rotterdam, in press.
23. G. Jenks and F. Caspall, "Error on choroplethic maps: definition, measurement, reduction," Ann. Assoc. Am. Geogr., vol. 61, no. 2.
24. R. Irish, Landsat 7 science data users handbook. NASA, 2007.
25. J. Schott, C. Salvaggio, and W. Volchok, "Radiometric scene normalization using pseudoinvariant features," Int. J. Remote. Sens., vol. 26, pp. 1-16, 1988.
26. J. Cornel, "Determination of surface reflectance and estimates of atmospheric optical depth and single scattering albedo from landsat thematic mapper data," Int. J. Remote Sens., vol. 11, pp. 783-828, 1990.
27. V. Caselles and M. Garcia, "An alternative simple approach to estimate atmospheric correction in multitemporal studies," Int. J. Remote Sens., vol. 10, pp. 1127-1134, 1989.
28. F. Hall, D. Strebel, J. Nickeson, and S. Goetz, "Radiometric rectification: toward a common radiometric response among multidate multisensor images," Remote Sens. Environ., vol. 35, pp. 11-27, 1991.
29. M. Story and R. G. Congalton, "Accuracy assessment: a user's perspective," Photogramm. Eng. Rem. S., vol. 52, no. 3, pp. 397-399, 1986.
30. M. Herold and G. Menz, "Landscape metric signatures (LMS) to improve urban land use information derived from remotely sensed data," in A decade of trans-european remote sensing cooperation. Proceedings of the 20th EARSeL Symposium, M. F. Buchroithner, Ed. Balkema, Rotterdam, 2001, pp. 251-256.