Urban Land Cover Change of Olomouc City Using LANDSAT Images
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.
[1] Berg, L. V. D., Drewet, R., Klaasen, L. H., Rossi, A., and Vijverberg, C.
H. T., "A Study of Growth and Decline. Urban Europe1", Pergamon
Press, Oxford, 201-239 (1982).
[2] Blaschke, T. and Strobl, J., "What's wrong with pixels? Some recent
developments interfacing remote sensing and GIS." GeoBIT/GIS
2001/6, 12-17 (2001).
[3] Burns, M. C. and Galaup, M., "The use of satellite images in the
delimitation of urban areas", available at http://www-
cpsv.upc.es/informacions/5aSetmanaGeomatica/5aSetmanaGeomaticaI
matgesSatellit.pdf, (2004).
[4] Chen, D., Stow, D. and Getis, A., "Multi-resolution classification
framework for improving land use/cover mapping," In: Walsh, S.J.,
Crews-Meyer, K.A. (Eds.), "Linking People, Place, and Policy: a
GIScience Approach" Kluwer Academic, Dordrecht, 312-360 (2002).
[5] Congalton, R. G., "A review of assessing the accuracy of classification
of remotely sensed data," Remote sensing of Environment 37, 35-46
(1991).
[6] De Kok, R., "Analysis of urban structure and development applying
procedures for automatic mapping of large area data," Journal of Remote
Sensing of Urban Areas 5, 1682-1777 (2003).
[7] Gong, P., Le Drew, E. F. and Miller, J. R., "Registration-noise reduction
in difference images for change detection," International Journal of
Remote Sensing 13, 773-779 (1992).
[8] Jensen, J. R. and Cowen, D. J., "Remote sensing of urban/suburban
infrastructure and socio-economic attributes," Photogrammetric
Engineering and Remote Sensing 65, 611-622 (1999).
[9] Kamagata, N., "Comparison of pixel-based and object-based
classifications of high resolution satellite data in urban fringe areas,"
Proceedings of the 26th Asian Conference on Remote Sensing, Hanoi,
Vietnam. 7-11 November, 1-6 (2005).
[10] Karner, K., Hesina, G., Maierhofer, S. and Tobler, R. F., "Improved
reconstruction and rendering of cities and terrain based on multispectral
digital aerial images," Proceedings CORP 2006 & Geomultimedia06,
299-304 (2006).
[11] Lillesand T. M., and Kiefer R.W., Chipman J.W., "Remote Sensing and
Image Interpretation" 5th edition, Wiley, New York, 312-452 (2003).
[12] Mas, J. F., "Monitoring land-cover changes: a comparison of change
detection techniques," International Journal of Remote Sensing 20, 139-
152 (1999).
[13] Mori, M., "Object-based classification of IKONOS data for rural land
use mapping," Proceedings of XXth ISPRS Congress 35, 1682-1750
(2004).
[14] Nestorov, I. and Protić, D., "CORINE Land Cover Mapping in Serbia",
Gra├▒evinska Knjiga, Belgrade, 43-101 (2009).
[15] Rogan, J. and Chen, D. M., "Remote sensing technology for mapping
and monitoring land-cover and land-use change," Progress in Planning
61, 301-325 (2004).
[16] Rogan, J., Franklin, J. and Roberts, D. A., "A comparison of methods for
monitoring multitemporal vegetation change using Thematic Mapper
imagery," Remote Sensing of Environment 80, 143-156 (2002).
[17] San Miguel-Ayanz, J. and. Biging, G. S., "Compassion of single stage
and multi-stage classification approaches for cover type mapping with
TM and SPOT XS data," Remote Sensing of Environment 59, 92-104
(1997).
[18] Schowengerdt, R. A., "Remote Sensing: Models and Methods for Image
Processing" 2nd edition, Academic Press, San Diego, 122-522 (1997).
[19] Singh, A., "Digital change detection techniques using remotely sensed
data," International Journal of Remote Sensing 10, 989-1003 (1989).
[20] Stow, D. A., Tinney, L. and Estes, J., "Deriving Land Use/Land Cover
Change Statistics from Landsat: a Study of Prime Agricultural Land,"
Proceedings of the 14th International Symposium on Remote Sensing of
the Environment, 1227-1237 (1980).
[21] Sutton, P., Roberts, D., Elvidge, C. H. and Meij, H., "A comparison of
nighttime satellite imagery and population density for the continental
United States," Photogrammetric engineering and remote sensing 63/11,
1303-1313 (1997).
[22] Václavík, T. and Rogan, J., "Identifying Trends in Land Use/Land Cover
Changes in the Context of Post-Socialist Transformation in Central
Europe: A Case Study of the Greater Olomouc Region, Czech
Republic," GIScience & Remote Sensing 46/1, 54-76 (2009).
[23] http://aplikace.mvcr.cz/adresa/m/olomo/olomo.html
[24] http://glovis.usgs.gov/
[25] http://glcfapp.glcf.umd.edu:8080/esdi/index.jsp
[1] Berg, L. V. D., Drewet, R., Klaasen, L. H., Rossi, A., and Vijverberg, C.
H. T., "A Study of Growth and Decline. Urban Europe1", Pergamon
Press, Oxford, 201-239 (1982).
[2] Blaschke, T. and Strobl, J., "What's wrong with pixels? Some recent
developments interfacing remote sensing and GIS." GeoBIT/GIS
2001/6, 12-17 (2001).
[3] Burns, M. C. and Galaup, M., "The use of satellite images in the
delimitation of urban areas", available at http://www-
cpsv.upc.es/informacions/5aSetmanaGeomatica/5aSetmanaGeomaticaI
matgesSatellit.pdf, (2004).
[4] Chen, D., Stow, D. and Getis, A., "Multi-resolution classification
framework for improving land use/cover mapping," In: Walsh, S.J.,
Crews-Meyer, K.A. (Eds.), "Linking People, Place, and Policy: a
GIScience Approach" Kluwer Academic, Dordrecht, 312-360 (2002).
[5] Congalton, R. G., "A review of assessing the accuracy of classification
of remotely sensed data," Remote sensing of Environment 37, 35-46
(1991).
[6] De Kok, R., "Analysis of urban structure and development applying
procedures for automatic mapping of large area data," Journal of Remote
Sensing of Urban Areas 5, 1682-1777 (2003).
[7] Gong, P., Le Drew, E. F. and Miller, J. R., "Registration-noise reduction
in difference images for change detection," International Journal of
Remote Sensing 13, 773-779 (1992).
[8] Jensen, J. R. and Cowen, D. J., "Remote sensing of urban/suburban
infrastructure and socio-economic attributes," Photogrammetric
Engineering and Remote Sensing 65, 611-622 (1999).
[9] Kamagata, N., "Comparison of pixel-based and object-based
classifications of high resolution satellite data in urban fringe areas,"
Proceedings of the 26th Asian Conference on Remote Sensing, Hanoi,
Vietnam. 7-11 November, 1-6 (2005).
[10] Karner, K., Hesina, G., Maierhofer, S. and Tobler, R. F., "Improved
reconstruction and rendering of cities and terrain based on multispectral
digital aerial images," Proceedings CORP 2006 & Geomultimedia06,
299-304 (2006).
[11] Lillesand T. M., and Kiefer R.W., Chipman J.W., "Remote Sensing and
Image Interpretation" 5th edition, Wiley, New York, 312-452 (2003).
[12] Mas, J. F., "Monitoring land-cover changes: a comparison of change
detection techniques," International Journal of Remote Sensing 20, 139-
152 (1999).
[13] Mori, M., "Object-based classification of IKONOS data for rural land
use mapping," Proceedings of XXth ISPRS Congress 35, 1682-1750
(2004).
[14] Nestorov, I. and Protić, D., "CORINE Land Cover Mapping in Serbia",
Gra├▒evinska Knjiga, Belgrade, 43-101 (2009).
[15] Rogan, J. and Chen, D. M., "Remote sensing technology for mapping
and monitoring land-cover and land-use change," Progress in Planning
61, 301-325 (2004).
[16] Rogan, J., Franklin, J. and Roberts, D. A., "A comparison of methods for
monitoring multitemporal vegetation change using Thematic Mapper
imagery," Remote Sensing of Environment 80, 143-156 (2002).
[17] San Miguel-Ayanz, J. and. Biging, G. S., "Compassion of single stage
and multi-stage classification approaches for cover type mapping with
TM and SPOT XS data," Remote Sensing of Environment 59, 92-104
(1997).
[18] Schowengerdt, R. A., "Remote Sensing: Models and Methods for Image
Processing" 2nd edition, Academic Press, San Diego, 122-522 (1997).
[19] Singh, A., "Digital change detection techniques using remotely sensed
data," International Journal of Remote Sensing 10, 989-1003 (1989).
[20] Stow, D. A., Tinney, L. and Estes, J., "Deriving Land Use/Land Cover
Change Statistics from Landsat: a Study of Prime Agricultural Land,"
Proceedings of the 14th International Symposium on Remote Sensing of
the Environment, 1227-1237 (1980).
[21] Sutton, P., Roberts, D., Elvidge, C. H. and Meij, H., "A comparison of
nighttime satellite imagery and population density for the continental
United States," Photogrammetric engineering and remote sensing 63/11,
1303-1313 (1997).
[22] Václavík, T. and Rogan, J., "Identifying Trends in Land Use/Land Cover
Changes in the Context of Post-Socialist Transformation in Central
Europe: A Case Study of the Greater Olomouc Region, Czech
Republic," GIScience & Remote Sensing 46/1, 54-76 (2009).
[23] http://aplikace.mvcr.cz/adresa/m/olomo/olomo.html
[24] http://glovis.usgs.gov/
[25] http://glcfapp.glcf.umd.edu:8080/esdi/index.jsp
@article{"International Journal of Architectural, Civil and Construction Sciences:64592", author = "Miloš Marjanović and Jaroslav Burian and Ja kub Miřijovský and Jan Harbula", title = "Urban Land Cover Change of Olomouc City Using LANDSAT Images", abstract = "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.
", keywords = "Change detection, image classification, land cover,
Landsat images, Olomouc city, urbanization.", volume = "6", number = "11", pages = "1035-7", }
