2020
DOI: 10.3390/rs12020282
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The Use of the CORINE Land Cover (CLC) Database for Analyzing Urban Sprawl

Abstract: Urban sprawl is generally defined as the urbanization of space adjacent to a city, which results from that city’s development. The discussed phenomenon involves land development, mainly agricultural land, in the proximity of cities, the development of infrastructure, and an increase in the number of residents who rely on urban services and commute to work in the city. Urban sprawl generates numerous problems which, in the broadest sense, result from the difficulty in identifying the boundaries of the central u… Show more

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Cited by 61 publications
(53 citation statements)
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“…There are potential problems associated with CLC data, applicable to this study, due to the misclassification and differences in the classification schemes and resolutions from one period to another [90,[92][93][94][95][96][97][98][99][100][101][156][157][158], but also due to the different resolutions (e.g., the CLC dataset has a minimum mapping unit for status layers of 25 hectares, while, minimum the mapping unit for CLC is 5 hectares). Nevertheless, CLC data have proved their usefulness in analyzing urban sprawl [159] and other LCLU changes in Europe [160,161] and even outside the European Union [162], and even in fostering local development [163]. Obviously, the existence of a GIS-ready data set is important in the research economy and could reduce other sources of errors, but does not make the case studies of Vietnam or Algeria less valuable, since they rely on satellite imagery.…”
Section: Limitations Of the Studymentioning
confidence: 99%
See 1 more Smart Citation
“…There are potential problems associated with CLC data, applicable to this study, due to the misclassification and differences in the classification schemes and resolutions from one period to another [90,[92][93][94][95][96][97][98][99][100][101][156][157][158], but also due to the different resolutions (e.g., the CLC dataset has a minimum mapping unit for status layers of 25 hectares, while, minimum the mapping unit for CLC is 5 hectares). Nevertheless, CLC data have proved their usefulness in analyzing urban sprawl [159] and other LCLU changes in Europe [160,161] and even outside the European Union [162], and even in fostering local development [163]. Obviously, the existence of a GIS-ready data set is important in the research economy and could reduce other sources of errors, but does not make the case studies of Vietnam or Algeria less valuable, since they rely on satellite imagery.…”
Section: Limitations Of the Studymentioning
confidence: 99%
“…These data would have been suitable for analyzing the urban sprawl if their time frame was correlated with the pace of changes [94,98], but unfortunately the data is collected each 6 years, a time that does not fit the alert pace of urban changes. However, CLC data offer satisfactory solutions for looking at the urban sprawl, if certain mathematical adjustments are performed [93,94,150,159].…”
Section: Limitations Of the Studymentioning
confidence: 99%
“…They can support ongoing documentation of field work, e.g. investments, inventory of boundaries, construction of the DTM / DEM (digital terrain model / digital elevation model) ( Ossowski et al, 2019 ; Cieślak et al, 2020b ) and even measurements of fuel storage facilities. Due to the cost and time of preparation of the raid/flight, the implementation is carried out today primarily for large area investments.…”
Section: The Hybrid Approach As a Cure For Appraisers For The Symptommentioning
confidence: 99%
“…One such tool is the CORINE (Coordination of Information on the Environment) Land Cover program, being used to map urbanisation in Europe. A study carried out in Poland using CORINE was able to identify urban sprawl [13]. Thus, remote sensing provides the ability to monitor urban and rural systems at various spatial and temporal scales, making remote sensing one of valuable tools in addressing issues related to sustainable development [14].…”
Section: Urban Definitionmentioning
confidence: 99%