Methodological variations in the production of CORINE land cover and consequences for long-term land cover change studies. The case of Spain.

Fernández, Jesús Martínez; Ruiz‐Benito, Paloma; Bonet, Andreu; Gómez, Cristina

doi:10.1080/01431161.2019.1624864

Cited by 42 publications

(27 citation statements)

References 19 publications

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“…This process should be repeated for each CLC period (i.e., 1990-2000, 2000-2006, 2006-2012). In addition, this option combining information from a status and a change layer requires consideration of the different MMU (25 ha and 5 ha, respectively) [62].…”

Section: Discussionmentioning

confidence: 99%

Structural Changes in the Romanian Economy Reflected through Corine Land Cover Datasets

et al. 2020

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During the last 30 years, the Romanian economy has faced different challenges due to structural readjustments, overcoming crisis and globalization. The share of primary and secondary sectors in the gross domestic product have strongly decreased, while the services have taken off. The main objective for this study is to observe how these economic readjustments can be assessed and measured using the Corine Land Cover datasets from 1990, 2000, 2006, 2012 and 2018 (with special observation on the range 2006 and 2018, after Romania was included in European Union). Despite some of the methodological limitations (like the minimum surface change), the Corine Land Cover turned out to be a powerful tool and it allowed us to detect an intense correlation between the socioeconomic and the structural trends in land use, in specific spatial contexts. The artificial surfaces are constantly increasing and this trend is rather visible as a distance function to the major Romanian cities. The most interesting changes occurred in the case of the agricultural polygons. The main trend emphasized by our analysis regards the redeployment of large farms in areas of agronomic and environmental territorial optimum. Such is the case for vineyards (after a decline during 2000–2006) and for annual cultures. All these changes in land-use patterns are too complex to be encompassed by a single methodology, which is why we used different tools, ranging from spatial analysis to geo-economic modeling, in order to detect how the Corine Land Cover datasets might be used for a better understanding of the Romanian economic readjustments.

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Section: Discussionmentioning

confidence: 99%

Structural Changes in the Romanian Economy Reflected through Corine Land Cover Datasets

et al. 2020

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“…Had the original classification made at a finer scale, we can only hypothesize how much the fit of the model would improve. Besides, it must be considered that the source on which the classification was built CORINE Land Cover (Coordination of Information on the Environment) is obviously not totally exempt of errors and methodological changes [12,[51][52][53], which could have increased the level of noise in the classification to some extent.…”

Section: Discussionmentioning

confidence: 99%

Determinants of Land Use/Cover Change in the Iberian Peninsula (1990–2012) at Municipal Level

Nogueira

Rico

2019

Land

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This work analyzes the determinants associated with main land use/cover changes in the Iberian Peninsula during the 1990–2012 period using a decision tree model. Our main objective is to identify broad-scale patterns that associate the characteristics of geographic areas with the dominant land use/cover change process based on CORINE Land Cover (Coordination of Information on the Environment) and defined in a previously published work. Biophysical, structural and socioeconomic variables were considered as potentially explanatory of the dominant change process at municipal scale. The resulting model allowed identification of a common pattern in Portugal and Spain (urbanization being highly associated to areas already densely populated in the previous period), but also some diverging ones. In particular, dominant trends in Portuguese territory appear to be highly determined by wildfire occurrence. In contrast, Spanish municipalities showed more diverse patterns, usually associated to biophysical determinants like average forest productivity or average terrain slope.

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“…CLC's spatial resolution corresponds to a scale of 1:100,000 and is thus not able to account for detailed landscape changes of tens of meters to hundreds of square meters [55]. On the other hand, these data represent a long and widely-used data base that retains the basic methodological elements of acquisition and is thus a very suitable data source for multi-temporal analyses [48,56]. The described development is not based on continuous data, but on data capturing the development in steps; "snapshots" at certain dates.…”

Section: Discussionmentioning

confidence: 99%

What is the Development Capacity for Provision of Ecosystem Services in the Czech Republic?

et al. 2019

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The aim of our study is to identify the evolution of land use and the landscape capacity to provide selected ecosystem services (ESs) over the past 28 years. The results obtained should answer whether the recorded land cover development has manifested in the same way as the development of landscape capacity to provide ESs for four different services. Corine Land Cover (CLC) data are used to describe the land cover for five time periods (1990, 2000, 2006, 2012, and 2018) for the area of interest—the whole of the Czech Republic Identification of persistence area. The main trajectories of land cover developments are calculated using overlay spatial operations in GIS. For each analyzed year of landscape development, land cover is evaluated separately, and basic quantification indicators are calculated. At the same time, the filling capacity of selected ESs is evaluated. The results show that the assessed area had the highest capacity to provide ecological integrity in 1990–2006, and then this slightly decreased due to category changes. From a spatial point of view, the worst development trend is seen for provisioning services, where negative development is represented almost all over the country. Ecological integrity and regulating services have similar spatial characteristics of development.

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Methodological variations in the production of CORINE land cover and consequences for long-term land cover change studies. The case of Spain.

Cited by 42 publications

References 19 publications

Structural Changes in the Romanian Economy Reflected through Corine Land Cover Datasets

Structural Changes in the Romanian Economy Reflected through Corine Land Cover Datasets

Determinants of Land Use/Cover Change in the Iberian Peninsula (1990–2012) at Municipal Level

What is the Development Capacity for Provision of Ecosystem Services in the Czech Republic?

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