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Urban Pattern Morphology Time Variation in Southern Italy by Using Landsat Imagery
This paper analyses the spatial characterization of urban expansion by using spatial fractal analysis applied to multidate Multispectral Scanner (MSS), Thematic Mapper (TM) and Enhanced Thematic Mapper (ETM) satellite imagery. The investigation was focused on four small towns in southern Italy, for which the border was extracted from NASA Landsat images acquired in 1976 (MSS), in 1991 (TM) and 1999 (ETM). The border was analyzed using the box counting method, which is a well-know technique to estimate the spatial fractal dimension, that quantifies the shape irregularity of an object. The obtained results show that the fractal dimension of the border of the investigated towns is a good indicator of the dynamics of the regular/irregular urban expansion.
Urban Pattern Morphology Time Variation in Southern Italy by Using Landsat Imagery
This paper analyses the spatial characterization of urban expansion by using spatial fractal analysis applied to multidate Multispectral Scanner (MSS), Thematic Mapper (TM) and Enhanced Thematic Mapper (ETM) satellite imagery. The investigation was focused on four small towns in southern Italy, for which the border was extracted from NASA Landsat images acquired in 1976 (MSS), in 1991 (TM) and 1999 (ETM). The border was analyzed using the box counting method, which is a well-know technique to estimate the spatial fractal dimension, that quantifies the shape irregularity of an object. The obtained results show that the fractal dimension of the border of the investigated towns is a good indicator of the dynamics of the regular/irregular urban expansion.
Urban Pattern Morphology Time Variation in Southern Italy by Using Landsat Imagery
Murgante, Beniamino (editor) / Borruso, Giuseppe (editor) / Lapucci, Alessandra (editor) / Telesca, Luciano (author) / Coluzzi, Rosa (author) / Lasaponara, Rosa (author)
2009-01-01
14 pages
Article/Chapter (Book)
Electronic Resource
English
box counting method , fractal dimension , satellite , time series Geography , Geographical Information Systems/Cartography , Urban Geography / Urbanism (inc. megacities, cities, towns) , World Regional Geography (Continents, Countries, Regions) , Mathematical and Computational Engineering , Landscape/Regional and Urban Planning , Artificial Intelligence , Engineering
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