L’uso del GIS come strumento di analisi e rappresentazione del consumo di suolo

Valentina Sannicandro, Carmelo Maria Torre

Abstract


Soil Framework Directive COM(2006) 232 stated that soil, fairly recognizable
as an ecosystem structure, can be considered essentially as a non-renewable
resource.
In this perspective, the aim of the present research is to quantify land take
and soil sealing and to suggest actions for its mitigation in land-use policies.
Land take and soil sealing quantifies the land-use change from natural land uses to artificial ones for urban and infrastructure development. In order to calculate the extension of areas concerned by the land take and soil sealing, this paper proposes a methodological approach for the construction of the density index of impervious areas through specific spatial analysis, namely the
focal statistics, performed in a GIS environment.
The experimentation is conducted in the MITO (Multimedia Information
of Territorial Objects) Laboratory of the Technical University of Bari (Italy)
in order to launch a regional observatory for land-use change.



Parole chiave


land take and soil sealing; saving soil; spatial analysis; focal statistics

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Riferimenti bibliografici


Arcidiacono, A., Di Simine, D., Oliva, F., Pareglio, S., Pileri, P. e

Salata, S. (2009, 2010), Rapporto sul Consumo di suolo, Centro di

Ricerca sul Consumo di Suolo, (a cura di) INU Legambiente, Dipartimento di Architettura e Pianificazione del Politecnico di Milano,

Fondazione Cariplo.

Borrough, P.A. (1986), Principles of geographical information systems for

land resource assessment, Clarendon Press, Oxford, UK, p. 194.

Castiglioni, S., Castellarin, A., Montanari, A., Skoien, J.O.,

Laaha, G. and Blosch, G. (2011), Smooth regional estimation of

low-flow indices: physiographical space based Interpolation and topkriging, Hydrology and Earth System Sciences.

Craglia, M. and Wise, S. (2007), GIS and Evidence- Based Policy

Making, Innovations in GIS, CRC Press Inc.

Couclelis, H. (1991), Requirements for planning-relevant GIS: a

spatial perspective, Regional Science, 70, n. 1, pp. 9-20.

Krige, D.G. (1984), Geostatistics and the definition of uncertainty,

Inst. Min. Met. Trans., 93-A, pp. A41-47.

Malczewski, J. (1999), GIS and Multicriteria Decision Analysis, John

Wiley, ISBN9780471329442, NewYork, USA.

Nedović-Budić, Z. (2000), Geographic information science

implications for urban and regional planning, Journal of the Urban and

Regional Information Systems Association, 12, n. 2, pp. 81-93.

Pileri, P. (2007), Compensazione ecologica preventiva, Carocci, Roma.




DOI: http://dx.doi.org/10.48258/geo.v20i2.1312

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