Determination of environmental degradation due to urbanization and industrialization in Gebze, Turkey

Environmental Engineering Science

Volumn 25, Issue 3, 2008, Pages 429-438

  Kavzoǧlu, Taşkin ^a  

^a GEBZE TECHNICAL UNIVERSITY   (Turkey)

Author keywords

Change detection; Classification; Environmental degradation; Industrialization; Remote sensing; Urban growth; Urbanization

Indexed keywords

BACKPROPAGATION; BIODIVERSITY; ECOSYSTEMS; REMOTE SENSING; SATELLITE IMAGERY; URBAN PLANNING; WEATHERING;

CHANGE DETECTION; INDUSTRIALIZATION; URBAN GROWTH; URBANIZATION;

POPULATION DYNAMICS;

ARTICLE; BIODIVERSITY; DEFORESTATION; DEGRADATION; ECOSYSTEM; FOREST; INDUSTRIALIZATION; LAND USE; PASTURELAND; REMOTE SENSING; TURKEY (REPUBLIC); URBANIZATION; WILDLIFE;

EID: 41649112077     PISSN: 10928758     EISSN: None     Source Type: Journal    
DOI: 10.1089/ees.2006.0271     Document Type: Article

References (21)

1. ATKINSON, P.M., and TATNALL, A.R.L. (1997). Neural networks in remote sensing. Int. J. Remote Sensing 18, 699.
2. BLAMIRE, P.A. (1996). The influence of relative sample size in training artificial neural networks. Int. J. Remote Sensing 17, 223.
3. BRUZZONE, L., CONESE, C., MASELLI, F., and ROLI, F. (1997). Multisource classification of complex rural areas by statistical and neural-network approaches. Photog. Eng. Remote Sensing 63, 523.
4. CONGALTON, R.G. (1991). A review of assessing the accuracy of classifications of remotely sensed data. Rem. Sen. Environ. 37, 35.
5. ERBEK, F.S., OZKAN, C., and TABERNER, M. (2004). Comparisons of maximum likelihood classification method with supervised artificial neural network algorithms for land use activities. Int. J. Remote Sensing 25, 1733.
6. FOODY, G.M. (1995). Using prior knowledge in artificial neural network classification with a minimal training set. Int. J. Remote Sensing 16, 301.
7. HEPNER, G.F., LOGAN, T., RITTER, N., and BRYANT, N. (1990). Artificial neural network classification using a minimal training set: Comparison to conventional supervised classification. Photog. Eng. Remote Sensing 56, 469.
8. HEROLD, M., GOLDSTEIN, N.C., and CLARKE, K.C. (2003). The spatiotemporal form of urban growth: Measurement, analysis and modeling. Remote Sensing Environ. 86, 286.
9. IMURA, H., CHEN, J., KANEKO, S., and MATSUMOTO, T. (1999). Analysis of industrialization, urbanization and land-use change in East Asia according to the DPSER framework. In Proceedings of 1999 NIES Workshop on Information Bases and Modeling for Land-use and Land-cover Changes in East Asia. Tsukuba, Japan, p. 227.
10. KAVZOGLU, T., and MATHER, P.M. (1999). Pruning artificial neural networks: An example using land cover classification of multi-sensor images. Int. J. Remote Sensing 20, 2787.
11. KAVZOGLU, T., and MATHER, P.M. (2002). The role of feature selection in artificial neural network applications. Int. J. Remote Sensing 23, 2919.
12. KAVZOGLU, T., and MATHER, P.M. (2003). The use of back-propagating artificial neural networks in land cover classification. Int. J. Remote Sensing 24, 4907.
13. LIPPMANN, R.P. (1987). An introduction to computing with neural nets. IEEE ASSP Magazine, April, 4.
14. LU, D., MAUSEL, P., BRONDIZIO, E., and MORAN, E. (2004). Change detection techniques. Int. J. Remote Sensing 25, 2365.
15. MATHER, P.M. (1999). Computer Processing of Remotely-Sensed Images: An Introduction, 2nd ed. Chichester: John Wiley & Sons.
16. PAOLA, J.D., and SCHOWENGERDT, R.A. (1994). Comparisons of neural networks to standard techniques for image classification and correlation. In Proceedings of the International Geoscience and Remote Sensing Symposium (IGARSS'94), Pasadena, USA, p. 1404.
17. PAOLA, J.D., and SCHOWENGERDT, R.A. (1995). A review and analysis of backpropagation neural networks for classification of remotely-sensed multi-spectral imagery. Int. J. Remote Sensing 16, 3033.
18. REDMAN, C.L., and JONES, N.S. (2004). The environmental, social and health dimensions of urban expansion. Population-Environment Research Network Cyberseminar, http://www.populationenvironmentresearch.org.
19. RUMELHART, D.E., MCCLELLAND, J.L., and PDP GROUP (1986). Parallel Distributed Processing: Explorations in the Microstructure of Cognition: Vol. 1 Foundations. London: The MIT Press.
20. SUNAR, F. (1998). An analysis of changes in a multi-date data set: A case study in the Ikitelli area, Istanbul, Turkey. Int. J. Remote Sensing 19, 225.
21. UN (2002). World Urbanization Prospects: The 2001 Revision. Department of Economic and Social Affairs, Population Division. New York: United Nations.