{"references": ["Berg, L. V. D., Drewet, R., Klaasen, L. H., Rossi, A., and Vijverberg, C.\nH. T., \"A Study of Growth and Decline. Urban Europe1\", Pergamon\nPress, Oxford, 201-239 (1982).", "Blaschke, T. and Strobl, J., \"What's wrong with pixels? Some recent\ndevelopments interfacing remote sensing and GIS.\" GeoBIT/GIS\n2001/6, 12-17 (2001).", "Burns, M. C. and Galaup, M., \"The use of satellite images in the\ndelimitation of urban areas\", available at http://www-\ncpsv.upc.es/informacions/5aSetmanaGeomatica/5aSetmanaGeomaticaI\nmatgesSatellit.pdf, (2004).", "Chen, D., Stow, D. and Getis, A., \"Multi-resolution classification\nframework for improving land use/cover mapping,\" In: Walsh, S.J.,\nCrews-Meyer, K.A. (Eds.), \"Linking People, Place, and Policy: a\nGIScience Approach\" Kluwer Academic, Dordrecht, 312-360 (2002).", "Congalton, R. G., \"A review of assessing the accuracy of classification\nof remotely sensed data,\" Remote sensing of Environment 37, 35-46\n(1991).", "De Kok, R., \"Analysis of urban structure and development applying\nprocedures for automatic mapping of large area data,\" Journal of Remote\nSensing of Urban Areas 5, 1682-1777 (2003).", "Gong, P., Le Drew, E. F. and Miller, J. R., \"Registration-noise reduction\nin difference images for change detection,\" International Journal of\nRemote Sensing 13, 773-779 (1992).", "Jensen, J. R. and Cowen, D. J., \"Remote sensing of urban/suburban\ninfrastructure and socio-economic attributes,\" Photogrammetric\nEngineering and Remote Sensing 65, 611-622 (1999).", "Kamagata, N., \"Comparison of pixel-based and object-based\nclassifications of high resolution satellite data in urban fringe areas,\"\nProceedings of the 26th Asian Conference on Remote Sensing, Hanoi,\nVietnam. 7-11 November, 1-6 (2005).\n[10] Karner, K., Hesina, G., Maierhofer, S. and Tobler, R. F., \"Improved\nreconstruction and rendering of cities and terrain based on multispectral\ndigital aerial images,\" Proceedings CORP 2006 & Geomultimedia06,\n299-304 (2006).\n[11] Lillesand T. M., and Kiefer R.W., Chipman J.W., \"Remote Sensing and\nImage Interpretation\" 5th edition, Wiley, New York, 312-452 (2003).\n[12] Mas, J. F., \"Monitoring land-cover changes: a comparison of change\ndetection techniques,\" International Journal of Remote Sensing 20, 139-\n152 (1999).\n[13] Mori, M., \"Object-based classification of IKONOS data for rural land\nuse mapping,\" Proceedings of XXth ISPRS Congress 35, 1682-1750\n(2004).\n[14] Nestorov, I. and Proti\u0107, D., \"CORINE Land Cover Mapping in Serbia\",\nGra\u251c\u2592evinska Knjiga, Belgrade, 43-101 (2009).\n[15] Rogan, J. and Chen, D. M., \"Remote sensing technology for mapping\nand monitoring land-cover and land-use change,\" Progress in Planning\n61, 301-325 (2004).\n[16] Rogan, J., Franklin, J. and Roberts, D. A., \"A comparison of methods for\nmonitoring multitemporal vegetation change using Thematic Mapper\nimagery,\" Remote Sensing of Environment 80, 143-156 (2002).\n[17] San Miguel-Ayanz, J. and. Biging, G. S., \"Compassion of single stage\nand multi-stage classification approaches for cover type mapping with\nTM and SPOT XS data,\" Remote Sensing of Environment 59, 92-104\n(1997).\n[18] Schowengerdt, R. A., \"Remote Sensing: Models and Methods for Image\nProcessing\" 2nd edition, Academic Press, San Diego, 122-522 (1997).\n[19] Singh, A., \"Digital change detection techniques using remotely sensed\ndata,\" International Journal of Remote Sensing 10, 989-1003 (1989).\n[20] Stow, D. A., Tinney, L. and Estes, J., \"Deriving Land Use/Land Cover\nChange Statistics from Landsat: a Study of Prime Agricultural Land,\"\nProceedings of the 14th International Symposium on Remote Sensing of\nthe Environment, 1227-1237 (1980).\n[21] Sutton, P., Roberts, D., Elvidge, C. H. and Meij, H., \"A comparison of\nnighttime satellite imagery and population density for the continental\nUnited States,\" Photogrammetric engineering and remote sensing 63/11,\n1303-1313 (1997).\n[22] V\u251c\u00edclav\u251c\u00a1k, T. and Rogan, J., \"Identifying Trends in Land Use/Land Cover\nChanges in the Context of Post-Socialist Transformation in Central\nEurope: A Case Study of the Greater Olomouc Region, Czech\nRepublic,\" GIScience & Remote Sensing 46/1, 54-76 (2009).\n[23] http://aplikace.mvcr.cz/adresa/m/olomo/olomo.html\n[24] http://glovis.usgs.gov/\n[25] http://glcfapp.glcf.umd.edu:8080/esdi/index.jsp"]}

This paper regards the phenomena of intensive suburbanization and urbanization in Olomouc city and in Olomouc region in general for the period of 1986–2009. A Remote Sensing approach that involves tracking of changes in Land Cover units is proposed to quantify the urbanization state and trends in temporal and spatial aspects. It actually consisted of two approaches, Experiment 1 and Experiment 2 which implied two different image classification solutions in order to provide Land Cover maps for each 1986–2009 time split available in the Landsat image set. Experiment 1 dealt with the unsupervised classification, while Experiment 2 involved semi- supervised classification, using a combination of object-based and pixel-based classifiers. The resulting Land Cover maps were subsequently quantified for the proportion of urban area unit and its trend through time, and also for the urban area unit stability, yielding the relation of spatial and temporal development of the urban area unit. Some outcomes seem promising but there is indisputably room for improvements of source data and also processing and filtering.