Abstract
The paper, on the basis of a fifteen years experience in mapping urban areas from satellite images, with Landsat, Spot and IKONOS, for planning purposes, proposes a general working methodology in two phases: 1) the creation of a map of built-up areas; 2) the identification and definition of classes or typologies of built-up areas extracted in the first phase.An application to an area of the Veneto region exemplifies: 1) the variety of strategies, approaches, and processing techniques that may be used in the first phase, 2) two sets of spatial analysis techniques for the second phase, which includes computing local density of built-up areas and landscape indices. The paper discusses two general issues 1) the significance that the results of these processing assumes in different spatial scales; 2) the complex and articulate relationship between territorial descriptions and information acquisition and processing techniques.
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References
Ollson, G.: Birds in Eggs/Eggs in birds. Pion, London (1980)
Lavedan, P.: Qu’est-ce que l’urbanisme. Laurens, Paris (1926)
Bianchin, A., Bravin, L.: Reproductibilité des procédures d’extraction de l’espace urbain. Revue Française de Photogrammétrie et de Télédétection 173/174, pp. 93–103 (2004)
Bianchin, A., Pesaresi., M.: Outils de Morphologie Mathématique appliqués aux images satellite pour l’analyse de l’urbanisation diffuse. In: EGIS-MARI 1994 Proceedings, pp. 2085–2094 (1994)
De Kok, R., Wever, T., Fockelmann, R.: Analysis of urban structure and development applying procedures for automatic mapping of large area data. In: The Int. Arch. of the Photogrammetry, RS and Spatial Information Sciences, 7/W9 Proc. of the ISPRS WG VII/ 4 Symposium Remote Sensing of Urban Areas, Regensburg, Germany, vol. XXXIV, pp. 41–45 (2003)
Ketting, R.L., Landgrebe, D.A.: Classification of Multispectral Image Data by Extraction and Classification of Homogeneous Objects. IEEE Trans. Geoscience Electronics GE-14, 19–26 (1976)
Landgrebe, D.A.: Multispec, http://www.ece.purdue.edu/~biehl/MultiSpec/
Smits, P.C.: Resima2000 (2001), http://www.resima.It
Forster, B.C.: The derivation of approximate equation to correct for the Landsat Mss point spread function. In: Int. Soc. for Photogrammetry and Remote Sensing, Canberra (1982)
Gurney, C.M., Townshed, J.R.G.: The use of contextual information in the classification of remotely sensed data. PERS 49, 55–64 (1983)
Gong, P., Howarth, P.J.: Performance analyses of probabilistic relaxation methods for land cover classification. Remote Sensing of Environment 30, 33–42 (1989)
Pesaresi, M., Bianchin, A.: Recognizing Settlement structure using Mathematical Morphology and Image Texture. In: Donnay, J.P., Barnsley, M.J., Longley, P.A. (eds.) Remote Sensing and Urban Analysis, pp. 55–67. Taylor and Francis, London and New York (2001)
Benediktsson, J.A., Pesaresi, M., Arnason, K.: Classification and feature extraction for remote sensing images from urban areas based on morphological transformations. GeoRS 41(9), 1940–1949 (2003)
Wald, L.: Data fusion: a conceptual approach for an efficient exploitation of remote sensing images. In: Ranchin, T., Wald., L. (eds.) Proceedings of EARSeL Conference on Fusion of Earth Data, pp. 17–23 (1998)
Lorette, A., Descombes, J., Zerubia, J.: Texture analysis through Markov random fields: urban Areas Extraction. In: Proc. ICIP, Kobe, Japan (1999)
Herold, M., Mueller, A., Guenter, S., Sceapan, J.: Object – oriented mapping and analysis of urban land use /cover using IKONOS data. In: Proc. of the 22nd Earsel symposium, Prague (2002)
Cocquerez, J.P., Philipp, S. (eds.): Analyse d’images, filtrage et segmentation. Masson, Paris (1995)
Coster, M., Cherman, J.L.: Précis d’analyse d’images. Presses du CNRS, Paris (1989)
Richards, J.A.: Remote Sensing Digital Image Analysis. Springer, Berlin (1999)
Tso, B., Mather, P.M.: Classification methods for remotely sensed data. Taylor & Francis, London (2001)
Bianchin, A., Foramiti, S.: Problemi di multirisoluzione nella validazione dei risultati dell’elaborazione di immagini. In: Atti 4th Conf. Nazionale ASITA, pp. 203–208 (2000)
Bianchin, A., Bravin, L.: Land use in urban context from IKONOS image: a case study. In: The Int. Arch. of the Photogrammetry, RS and Spatial Information Sciences, 7/W9 Proc. of the ISPRS WG VII/ 4 Symposium Remote Sensing of Urban Areas, Regensburg, Germany, vol. XXXIV, pp. 205–210 (2003)
Fitzpatrick-Lins, K.: Comparison of sampling procedures and data analysis for a land use and land cover map. PERS 47(3), 343–351 (1981)
Racine, J.B.: Problématiques et méthodologie: de l’implicite à l’explicite. In: Isnard, H., Racine, J.B., Reinhard, H. (eds.) Problématiques de la géographie. PUF, Paris (1981)
Ruas, A., Bianchin, A.: Echelle et niveau de détail. In: Anne Ruas ed. Généralisation et représentation multiple, pp. 25–44. Hermès- Lavoisier, Paris (2002)
McGarical, K., Marks, B.J.: Fragstats: spatial pattern analysis program for quantifying landscape structure. Gen. Tech. Report PNW-GTR-351, USDA Forest Service, Pacific Northwest Research Station, Portland, OR (1995)
McGarical, K., Cushman, S.A., Neel, M.C., Ene, E.: Fragstats: Spatial Pattern Analysis Program for Categorical Maps (2002), http://www.umass.edu/landeco/research/fragstats/fragstats.html
Herold, M.: Remote Sensing and spatial metrics- A new approach for the description of Structures and Change in Urban Areas. In: Proc. of international Remote Sensing and Geoscience Symposium (IGAR-GASS), Sydney (2001)
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Bianchin, A., Bravin, L. (2008). Remote Sensing and Urban Analysis. In: Gervasi, O., Murgante, B., Laganà, A., Taniar, D., Mun, Y., Gavrilova, M.L. (eds) Computational Science and Its Applications – ICCSA 2008. ICCSA 2008. Lecture Notes in Computer Science, vol 5072. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-69839-5_23
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DOI: https://doi.org/10.1007/978-3-540-69839-5_23
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