Land urbanization in Central Italy: 50 years of evolution

Romano, Bernardino; Zullo, Francesco

doi:10.1080/1747423x.2012.754963

Cited by 54 publications

(28 citation statements)

References 12 publications

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“…Exploring a set of LULC maps and geodatabases (the previously mentioned IGBP-IHDP, HYDE, CLC; Deng, Huang, Rozelle, & Uchida, 2010;Diaz-Pacheco, 2013;Hansen, DeFries, Townshend, & Sohlberg, 2000;Ménard & Marceau, 2012;Romano & Zullo, 2012;Samat, 2006) we found that they could be classified by (1) the procedure employed to extract the LULC information (classification process); (2) the extent and mapping scale; and (3) the temporality (periodicity and number of available time periods). In more detail:…”

Section: Introductionmentioning

confidence: 99%

A highly detailed land-use vector map for Madrid region based on photo-interpretation

Pacheco

Palomares

2014

Journal of Maps

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Land Use -Land Cover (LULC) maps have developed remarkably since the global community became aware of the importance of knowing where LULC change is taking place on the Earth's surface. The rapid evolution of geographic information data handling and the automation of satellite image interpretation through remote sensing techniques and algorithms is providing increasingly abundant and up-to-date information on LULC. In addition, at large detail scales, it is important to link LULC maps to available statistical information, such as census information and business activities, which allow land parcels to be more accurately classified. Though automated classification methods can produce useful maps at smaller detail scales, it is not usually possible to accurately map urban areas at large scales without considerable investment of human resources. The development of large-scale information for urban areas is very important, especially in urban areas with accelerated rates of urban change which may jeopardize natural resources and citizens' quality of life. In this paper, the creation of a set of large detail scale LULC maps and accompanying geodatabase for one such dynamic urban change region, the Madrid Autonomous Community (AC), Spain, is discussed.

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Section: Introductionmentioning

confidence: 99%

A highly detailed land-use vector map for Madrid region based on photo-interpretation

Pacheco

Palomares

2014

Journal of Maps

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“…Additionally, he defined eight categories of decoupling status. Romano and Zullo (2014) used a similar method to examine the relationship between land urbanization and population growth in Italy [42]. Decoupling analysis has widely applied for studying the relationship between two different systems [43,44].…”

Section: Decoupling Modelmentioning

confidence: 99%

Analyzing the Decoupling between Rural-to-Urban Migrants and Urban Land Expansion in Hubei Province, China

et al. 2018

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Rapid urbanization in China has caused a large number of rural-to-urban migrants (RUMs) and rapid urban land expansion (ULE). Understanding the relationship between RUMs and ULE has important implications for urban sustainable development. This study explored the spatial patterns of RUMs and ULE in Hubei Province from 2009 to 2014, and analyzed the relationship between the two using a decoupling model. The results show that: (1) a large proportion of the rural population migrated to urban areas in Hubei Province from 2009 to 2014, and the distribution of RUMs was uneven: developed areas attracted more RUMs than undeveloped regions; (2) the urban land in Hubei Province increased rapidly from 2009 to 2014, and the urban land use in Hubei Province was extensive and inefficient; (3) the decoupling types between RUMs and ULE in Hubei Province were dominated by expansive negative and weak decoupling; (4) according to the changes in per capita urban land area and decoupling types, the coordination relationship between RUMs and ULE in Hubei Province was divided into eight types, and while the relationship between RUMs and ULE in most areas were coordinated and beneficial to urban land intensive use, the rest were uncoordinated. Finally, reasonable implications for urban sustainable development and new land use policy were put forward.

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“…We evaluated the data following a non-sampled measured method, using a scale of 1:20,000 for the 1950s (source: Military Geographic Institute-IGM), and of 1:10,000-1:5000 for the following period up to the year 2000 (source: Land Use Regional Maps). Qualitative and quantitative phenomena connected to urban growth were analyzed through various indicators which then allowed us to identify the prevailing models in various areas of the country [33,34].…”

Section: Sprawlmentioning

confidence: 99%

Sprinkling: An Approach to Describe Urbanization Dynamics in Italy

et al. 2017

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This paper presents research which has defined a new typology of urban patterns (sprinkling), different from the internationally recognized standard urban sprawl, as well as various indicators that have been implemented to measure sprinkling. It is important to highlight that the damage caused to the environment and communities by urban sprinkling is much more serious and irreversible than that notoriously caused by urban sprawl. The paper introduces the difficult methodological and planning aspects of retrofitting (de-sprinkling), a true challenge for land management. We argue that even partial inversion of many negative effects is impossible in the short term. Only medium-to long-term, organized, and politically coordinated programs can tackle the various issues associated with sprinkling.

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Land urbanization in Central Italy: 50 years of evolution

Cited by 54 publications

References 12 publications

A highly detailed land-use vector map for Madrid region based on photo-interpretation

A highly detailed land-use vector map for Madrid region based on photo-interpretation

Analyzing the Decoupling between Rural-to-Urban Migrants and Urban Land Expansion in Hubei Province, China

Sprinkling: An Approach to Describe Urbanization Dynamics in Italy

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