Analyzing urban sprawl applying spatial autocorrelation techniques to multi-temporal satellite data (Contributo in atti di convegno)

Type
Label
  • Analyzing urban sprawl applying spatial autocorrelation techniques to multi-temporal satellite data (Contributo in atti di convegno) (literal)
Anno
  • 2013-01-01T00:00:00+01:00 (literal)
Alternative label
  • Calamita, G.a, Lanorte, A.a, Lasaponara, R.a, Danese, M.b, Murgante, B.c, Nolè, G.c, Las Casas, G.B.c (2013)
    Analyzing urban sprawl applying spatial autocorrelation techniques to multi-temporal satellite data
    in Urban Data Management Society Symposium 2013, UDMS Annual 2013, London; United Kingdom, 29 May 2013 through 31 May 2013
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Calamita, G.a, Lanorte, A.a, Lasaponara, R.a, Danese, M.b, Murgante, B.c, Nolè, G.c, Las Casas, G.B.c (literal)
Pagina inizio
  • 161 (literal)
Pagina fine
  • 170 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#titoloVolume
  • Urban and Regional Data Management, UDMS Annual 2013 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#pagineTotali
  • 10 (literal)
Note
  • Scopu (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • a Institute of Methodologies for Environmental Analysis, National Research Council, Italy b Archaeological and Monumental Heritage Institute, National Research Council, Italy c University of Basilicata, Italy (literal)
Titolo
  • Analyzing urban sprawl applying spatial autocorrelation techniques to multi-temporal satellite data (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#isbn
  • 978-1-138-00063-6 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autoriVolume
  • Claire Ellul, Sisi Zlatanova, Massimo Rumor, Robert Laurini (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#curatoriVolume
  • Claire Ellul, Sisi Zlatanova, Massimo Rumor, Robert Laurini (literal)
Abstract
  • In last decades industrialization and expansion of urban areas have caused strong and sharp land use changes with significant landscape transformations, which significantly impact environmental futures. Although urban growth is perceived as necessary for a sustainable economy, uncontrolled or sprawling urban growth can cause various problems, such as loss of open space, landscape alteration, environmental pollution, traffic congestion, infrastructure pressure, and other social and economical issues. Several programmes have been proposed and implemented in many European countries with the aim of reducing soil consumption. In such programmes it is fundamental to define methods, techniques and procedures to monitor the phenomenon. The aim of this paper is to propose an integration of free software (Linux Ubuntu, GRASS GIS and Quantum GIS, R) and data (Landsat) in order to quantify phenomenon evolution. In order to produce more reliable data, autocorrelation techniques have been implemented in open source software. (literal)
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