Special Issue "CORINE Land Cover System: Limits and Challenges for Territorial Studies and Planning"

A special issue of Remote Sensing (ISSN 2072-4292).

Deadline for manuscript submissions: 30 June 2020.

Special Issue Editors

Dr. Alexandru-Ionuţ Petrişor
E-Mail Website
Guest Editor
Doctoral School of Urban Planning, University of Architecture and Urban Planning, str. Academiei nr. 18-20, sect. 1, Bucharest 010014, Romania
Interests: environmetrics; systems ecology; spatial ecology; geostatistics; urban ecology
Dr. Bogdan Zagajewski
E-Mail Website
Guest Editor
Department of Geoinformatics, Cartography and Remote Sensing, Faculty of Geography and Regional Studies, Warsaw University, Poland, ul. Krakowskie Przedmieście 30, 00-927 Warsaw, Poland
Interests: imaging spectroscopy; classification; algorithms; vegetation; natural and semi-natural ecosystems; high-mountain and Arctic monitoring; land cover mapping
Special Issues and Collections in MDPI journals
Dr. Raffaele Pelorosso
E-Mail Website
Guest Editor
Tuscia University, Department of Agriculture and Forestry, Via S. Camillo de Lellis snc, 01100, Viterbo, Italy
Interests: urban and landscape planning; land cover and landuse changes; green infrastructure; environmental modelling; ecosystem services

Special Issue Information

Dear Colleagues,

CORINE data have been in use for several decades. Although their essence has remained unchanged, the data collection and processing methods have been subject to numerous changes. Despite the revisions, CORINE data has found a broad range of applications in research, planning, decision-making, and many sectors and areas covering multiple spatial scales – from local to trans-continental. So far, CORINE data represent one of the most important unitary sources of information on land cover and land use, as well as on changes of the European territory.

This Special Issue aims to include original research articles, case studies, applications and practical solutions, and discussion reviews focusing on—but not limited to—the following topics:

  • The process of obtaining and processing CORINE data, including national data sets and their continental assemblage;
  • The challenges of ensuring a continuum of the data regarding both the thematic classification and the spatial resolution, despite the particularities of different countries, related to a variety of aspects from physical geography to different classification schemes imposed by economic, administrative, or legislative constraints;
  • Applications based on the use of CORINE data in research, planning, decision-making, and other areas related to different sectors, such as environmental issues, agriculture, forestry, urban or territorial studies, and others, at different spatial scales;
  • Historical review of the CORINE program, including the main challenges and milestones;
  • Advantages and disadvantages of the CORINE data as compared to other data on land cover and use and their possible integration for the study of landscape dynamics at different scales;
  • The challenges of studies using CORINE data when the study area exceeds the coverage, including trans-continental studies or territories covered only partially by the CORINE data;
  • The relationship between CORINE data and the technological advancement of the sensors used for their collection;
  • Forecasts on the future of CORINE: additional data sets, frequency of producing the new data, format, user interface, organizational aspects of the program, relations with other programs;
  • CORINE beyond the European territory;
  • Limitations and possible solutions related to the use of CORINE data in the light of changes that have occurred in classification schemes and algorithms across time.

Dr. Alexandru-Ionuţ Petrişor, PhD, PhD, Habil.

Dr. Raffaele Pelorosso, PhD

Dr. Bogdan Zagajewski, PhD, Habil.

Guest Editors

Keywords

  • CORINE, land cover and use
  • CORINE, land cover and use changes
  • CORINE database
  • CORINE, program
  • mapping
  • GIS
  • landscape dynamics
  • urban and regional planning

Published Papers (5 papers)

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Research

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Open AccessArticle
The Use of the CORINE Land Cover (CLC) Database for Analyzing Urban Sprawl
Remote Sens. 2020, 12(2), 282; https://doi.org/10.3390/rs12020282 - 15 Jan 2020
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 [...] Read more.
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 urban unit and the participation of local inhabitants, regardless of their actual place of residence, in that unit’s functional costs. These problems are associated not only with tax collection rights but with difficulties in measuring the extent of urban sprawl in research and local governance. The aim of this study was to analyze the applicability of the CORINE Land Cover (CLC) database for monitoring urbanization processes, including the dynamic process of urban sprawl. Polish cities with county rights, i.e., cities that implement independent spatial planning policies, were analyzed in the study to determine the pattern of urban sprawl in various types of cities. Buffer zones composed of municipalities that are directly adjacent to the central urban unit were mapped around the analyzed cities. The study proposes a novel method for measuring the extent of suburbanization with the use of the CLC database and Geographic Information System (GIS) tools. The developed method relies on the overgrowth of urbanization (OU) index calculated based on CLC data. The OU index revealed differences in the rate of urbanization in three groups of differently sized Polish cities. The analysis covered two periods: 2006–2012 and 2012–2018, and it revealed that urban sprawl in the examined cities proceeded in an unstable manner over time. The results of the present study indicate that the CLC database is a reliable source of information about urbanization processes. Full article
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Open AccessArticle
Trends in the National and Regional Transitional Dynamics of Land Cover and Use Changes in Romania
Remote Sens. 2020, 12(2), 230; https://doi.org/10.3390/rs12020230 - 09 Jan 2020
Abstract
The crucial importance of land cover and use changes, components of the ‘global changes’, for the worldwide sustainable and resilient development results from their negative influence on ecosystem services, biodiversity, and human welfare. Ongoing debates concerning whether the global drivers are more important [...] Read more.
The crucial importance of land cover and use changes, components of the ‘global changes’, for the worldwide sustainable and resilient development results from their negative influence on ecosystem services, biodiversity, and human welfare. Ongoing debates concerning whether the global drivers are more important than the local ones or which are the most prominent driving forces and effects are still ongoing at the global level. In Europe, the patterns of land cover and use changes differ between the west and the east. Property restitution was an important driver of change in Eastern Europe and especially in Romania. This study aimed to look at the land cover and use changes in Romania by their transitional dynamic using Coordination of Information on the Environment (CORINE) data in an attempt to identify long-term spatially and temporally consistent trends. Although generally inconsistent, the results indicate that deforestation and urbanization tend to prevail over other changes, and the development of agriculture slows its pace. Such findings are consequences of unplanned development associated with little environmental awareness. The presence of hotspots where land cover and use changes seem to be clustered can be seen as a feature of ex-socialist countries undergoing economic transition. Full article
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Open AccessArticle
The Impact of EU Grants Absorption on Land Cover Changes—The Case of Poland
Remote Sens. 2019, 11(20), 2359; https://doi.org/10.3390/rs11202359 - 11 Oct 2019
Abstract
The main goal of the paper is to verify the impact of the absorption of European Union (EU) grants on land cover changes in Polish municipalities in the years 2012–2018. The selection of the research area was justified by the fact that Poland [...] Read more.
The main goal of the paper is to verify the impact of the absorption of European Union (EU) grants on land cover changes in Polish municipalities in the years 2012–2018. The selection of the research area was justified by the fact that Poland is the largest and significantly spatially differentiated transition economy in Central-Eastern Europe, recognised as a substantial beneficiary of EU accession in 2004. The time range of analysis was set as the result of a comparison of data availability in Corine Land Cover (CLC) and Statistics Poland. The CLC dataset referring to land cover and land use changes between 2012 and 2018 was used. The focus on modifications taking place within one of the main land cover groups at level 3 of detail was applied in this research. These changes were analysed as percentages referring to the area of the municipality and to the total area of changes in the investigated period. Two categories of EU grants were considered: total and infrastructural (granted under EU Operational Programme “Infrastructure and Environment”). Moreover, some control economic, social, demographic, institutional, infrastructural, and environmental variables were applied to better explain land cover changes. Moran’s local statistic was employed to detect spatial hot-spots of EU grants absorption, as well as hot-spots of land cover changes. Then, a collection of various variables related to determinants of land cover changes was set. Economic factors, including EU grants absorption, as well as factors related to accessibility, agrarian structure, demography, environment, and spatial planning were investigated. Principal Component Analysis (PCA) was employed to convert the set of all considered variables into a set of few uncorrelated predictors. Finally, Geographically Weighted Regression (GWR) was applied to describe the spatially varied impact of investigated determinants, including EU grants, represented by estimated principal components on land cover changes. Full article
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Open AccessFeature PaperArticle
Regional Variations of Land-Use Development and Land-Use/Cover Change Dynamics: A Case Study of Turkey
Remote Sens. 2019, 11(7), 885; https://doi.org/10.3390/rs11070885 - 11 Apr 2019
Cited by 1
Abstract
Population growth, economic development and rural-urban migration have caused rapid expansion of urban areas and metropolitan regions in Turkey. The structure of urban administration and planning has faced different socio-economic and political challenges, which have hindered the structured and planned development of cities [...] Read more.
Population growth, economic development and rural-urban migration have caused rapid expansion of urban areas and metropolitan regions in Turkey. The structure of urban administration and planning has faced different socio-economic and political challenges, which have hindered the structured and planned development of cities and regions, resulting in an irregular and uneven development of these regions. We conducted detailed comparative analysis on spatio-temporal changes of the identified seven land-use/cover classes across different regions in Turkey with the use of Corine Land Cover (CLC) data of circa 1990, 2000, 2006 and 2012, integrated with Geographic Information System (GIS) techniques. Here we compared spatio-temporal changes of urban and non-urban land uses, which differ across regions and across different hierarchical levels of urban areas. Our findings have shown that peri-urban areas are growing more than rural areas, and even growing more than urban areas in some regions. A deeper look at regions located in different geographical zones pointed to substantial development disparities across western and eastern regions of Turkey. We also employed multiple regression models to explain any possible drivers of land-use change, regarding both urban and non-urban land uses. The results reveal that the three influencing factors-socio-economic characteristics, regional characteristics and location, and development constraints, facilitate land-use change. However, their impacts differ in different geographical locations, as well as with different hierarchical levels. Full article
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Review

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Open AccessReview
Intellectual Structure of CORINE Land Cover Research Applications in Web of Science: A Europe-Wide Review
Remote Sens. 2019, 11(17), 2017; https://doi.org/10.3390/rs11172017 - 27 Aug 2019
Cited by 1
Abstract
The objective of this paper is to manifest the intellectual and cognitive structure of CORINE Land Cover (CLC) research applications. Data from the Web of Science (WoS) was used to delimit publication on CLC during the period from 1985 until 2019 (29th April), [...] Read more.
The objective of this paper is to manifest the intellectual and cognitive structure of CORINE Land Cover (CLC) research applications. Data from the Web of Science (WoS) was used to delimit publication on CLC during the period from 1985 until 2019 (29th April), retrieving a total of 873 documents. Through author citations, the origins and the most influential papers were identified. The main lines of research were identified from word co-occurrences extracted from the titles, keywords, and abstracts of the papers. In the view of both structures, it can be concluded that CORINE land cover constitutes a relatively young set of scientific data, with a constant expansion and a strongly interdisciplinary structure. The development of this application is dependent on the knowledge of such research areas as geography, remote sensing, ecology, forestry, agriculture, engineering, optics, and/or computer science. We believe that this information could be very useful for CLC users, as it reflects a large-scale analysis of the research lines of CLC and illuminates how research has changed over time in diverse areas of applications. Moreover, this study is intended to offer a useful tool for the CLC scientific community, showcasing the main research lines and the most noteworthy papers. Finally, the methodology used in this study can be replicated in many other fields of science to explore its intellectual and cognitive structure. Full article
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