EXTENDED FEATURES IMPROVE ACCURACY OF URBANIZATION INDEX CALCULATION METHOD

World urbanization prospects: The 2011 revision,” United Nations Department of Economic and Social Affairs/Population Division, New York, Tech. Rep., April 2012.

Vincze, E., Papp, S., Preiszner, B., Seress, G., Bókony, V., & Liker, A., Habituation to human disturbance is faster in urban than rural house sparrows. Behavioral Ecology, arw047, 2016.

McDonnell, M. J., & Hahs, A. K., The use of gradient analysis studies in advancing our understanding of the ecology of urbanizing landscapes: current status and future directions. Landscape Ecology, 23(10), 1143-1155, 2008.

Seress, G., Lipovits, Á., Bókony, V., & Czúni, L., Quantifying the urban gradient: A practical method for broad measurements. Landscape and Urban Planning, 131, 42-50, 2014. 16th International Multidisciplinary Scientific GeoConference SGEM2016 www.sgem.org 16th International Multidisciplinary Scientific GeoConference SGEM 2016

Liker, A., Papp, Z., Bókony, V., & Lendvai, A. Z., Lean birds in the city: body size and condition of house sparrows along the urbanization gradient. Journal of Animal Ecology, 77(4), 789-795, 2008.

Czúni, L., Lipovits, Á., & Seress, G., Estimation of urbanization using visual features of satellite images. In Proceedings of the AGILE’2012 international conference on geographic information science Avignon, 2012, (pp. 24-27).

Canny, J., A computational approach to edge detection. Pattern Analysis and Machine Intelligence, IEEE Transactions on, (6), 679-698, 1986.

Laws, K. I., Textured Image Segmentation. Dept. of Electrical Engineering, University of Southern California, 1980.

Harris, C., & Stephens, M., A combined corner and edge detector. In Alvey vision conference (Vol. 15, p. 50), 1988.

Serra, J. (1988). Mathematical morphology for complete lattices. Image analysis and mathematical morphology, 2, 13-35.

Soille, P., & Pesaresi, M. (2002). Advances in mathematical morphology applied to geoscience and remote sensing. Geoscience and Remote Sensing, IEEE Transactions on, 40(9), 2042-2055.

Lowe, D. G., Distinctive image features from scale-invariant keypoints. International journal of computer vision, 60(2), 91-110, 2004.

Bay, H., Ess, A., Tuytelaars, T., & Van Gool, L., Speeded-up robust features (SURF). Computer vision and image understanding, 110(3), 346-359, 2008.

Cortes, C., & Vapnik, V., U.S. Patent No. 5,640,492. Washington, DC: U.S. Patent and Trademark Office, 1997.

ESRI. ArcGIS version 10.0. Redlands: Environmental Systems Research Institute Inc., 2010. 16th International Multidisciplinary Scientific GeoConference SGEM2016 www.sgem.org

World urbanization prospects: The 2011 revision,” United Nations Department of Economic and Social Affairs/Population Division, New York, Tech. Rep., April 2012.

Vincze, E., Papp, S., Preiszner, B., Seress, G., Bókony, V., & Liker, A., Habituation to human disturbance is faster in urban than rural house sparrows. Behavioral Ecology, arw047, 2016.

McDonnell, M. J., & Hahs, A. K., The use of gradient analysis studies in advancing our understanding of the ecology of urbanizing landscapes: current status and future directions. Landscape Ecology, 23(10), 1143-1155, 2008.

Seress, G., Lipovits, Á., Bókony, V., & Czúni, L., Quantifying the urban gradient: A practical method for broad measurements. Landscape and Urban Planning, 131, 42-50, 2014. 16th International Multidisciplinary Scientific GeoConference SGEM2016 www.sgem.org 16th International Multidisciplinary Scientific GeoConference SGEM 2016

Liker, A., Papp, Z., Bókony, V., & Lendvai, A. Z., Lean birds in the city: body size and condition of house sparrows along the urbanization gradient. Journal of Animal Ecology, 77(4), 789-795, 2008.

Czúni, L., Lipovits, Á., & Seress, G., Estimation of urbanization using visual features of satellite images. In Proceedings of the AGILE’2012 international conference on geographic information science Avignon, 2012, (pp. 24-27).

Canny, J., A computational approach to edge detection. Pattern Analysis and Machine Intelligence, IEEE Transactions on, (6), 679-698, 1986.

Laws, K. I., Textured Image Segmentation. Dept. of Electrical Engineering, University of Southern California, 1980.

Harris, C., & Stephens, M., A combined corner and edge detector. In Alvey vision conference (Vol. 15, p. 50), 1988.

Serra, J. (1988). Mathematical morphology for complete lattices. Image analysis and mathematical morphology, 2, 13-35.

Soille, P., & Pesaresi, M. (2002). Advances in mathematical morphology applied to geoscience and remote sensing. Geoscience and Remote Sensing, IEEE Transactions on, 40(9), 2042-2055.

Lowe, D. G., Distinctive image features from scale-invariant keypoints. International journal of computer vision, 60(2), 91-110, 2004.

Bay, H., Ess, A., Tuytelaars, T., & Van Gool, L., Speeded-up robust features (SURF). Computer vision and image understanding, 110(3), 346-359, 2008.

Cortes, C., & Vapnik, V., U.S. Patent No. 5,640,492. Washington, DC: U.S. Patent and Trademark Office, 1997.

ESRI. ArcGIS version 10.0. Redlands: Environmental Systems Research Institute Inc., 2010. 16th International Multidisciplinary Scientific GeoConference SGEM2016 www.sgem.org