An appraisal of the CORINE land cover database in airport catchment area analysis using a GIS approach

Suau-Sánchez, Pere; Burghouwt, Guillaume; Pallarès-Barberà, Montserrat

doi:10.1016/j.jairtraman.2013.07.004

Cited by 33 publications

(15 citation statements)

References 11 publications

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“…This impedance is the geo-statistical filter that will allow the aggregation of LAU2 in pseudo-LAU1 spatial units. In order to obtain heterogeneous new spatial units, we have made an option for an impedance indicator based on a potential accessibility function to population [33]. The equation of the accessibility function weights the demographic masses of all the Romanian LAU2 with the inverse Euclidean distance that separates them.…”

Section: Datasets and Methodsmentioning

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: Datasets and Methodsmentioning

confidence: 99%

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

et al. 2020

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“…Modugno et al [54] mapped forest fires in the wildland-urban interface areas across Europe based on the harmonised land use and land cover change map CORINE 2006. The CORINE land cover product derived from multi-source satellite imagery is a commonly used dataset for European continental scale studies [55,56] and has been updated every six years since 2000. The CORINE 2006 dataset selected in this study is based on SPOT-4/-5 and IRS P6 satellite imagery.…”

Section: Multiple Sources Of Satellite Imagerymentioning

confidence: 99%

Remote Sensing in Urban Forestry: Recent Applications and Future Directions

Chen

Sanesi

et al. 2019

Remote Sensing

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Increasing recognition of the importance of urban forest ecosystem services calls for the sustainable management of urban forests, which requires timely and accurate information on the status, trends and interactions between socioeconomic and ecological processes pertaining to urban forests. In this regard, remote sensing, especially with its recent advances in sensors and data processing methods, has emerged as a premier and useful observational and analytical tool. This study summarises recent remote sensing applications in urban forestry from the perspective of three distinctive themes: multi-source, multi-temporal and multi-scale inputs. It reviews how different sources of remotely sensed data offer a fast, replicable and scalable way to quantify urban forest dynamics at varying spatiotemporal scales on a case-by-case basis. Combined optical imagery and LiDAR data results as the most promising among multi-source inputs; in addition, future efforts should focus on enhancing data processing efficiency. For long-term multi-temporal inputs, in the event satellite imagery is the only available data source, future work should improve haze-/cloud-removal techniques for enhancing image quality. Current attention given to multi-scale inputs remains limited; hence, future studies should be more aware of scale effects and cautiously draw conclusions.

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“…The delineation of the catchment area of a station is possible when access distances are decided [17]. In general, three methods were applied in previous studies: The simple buffer with the Euclidean distance [23], the combination of the Thiessen polygon and buffer [24], and the network-distance-based method [25]. The first two methods always overestimated the catchment area; therefore, in many studies the network-distance-based method was applied and developed on the basis that travelers pick the shortest path from the road network and cycle to metro stations.…”

Section: Metro-bicycle Transferring Distance and Catchment Areamentioning

confidence: 99%

Measuring Bikeshare Access/Egress Transferring Distance and Catchment Area around Metro Stations from Smartcard Data

Jin

2018

Information

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Metro–bikeshare integration is considered a green and efficient travel model. To better develop such integration, it is necessary to monitor and analyze metro–bikeshare transfer characteristics. This paper measures access and egress transferring distances and catchment areas based on smartcard data. A cubic regression model is conducted for the exploration of the 85th access and egress network-based transferring distance around metro stations. Then, the independent samples t-test and one-way analysis of variance (ANOVA) are used to explore access and egress transfer characteristics in demographic groups and spatial and temporal dimension. Additionally, the catchment area is delineated by applying both the network-based distance method and Euclidean distance method. The result reveals that males outcompete females both in access and egress distances and urban dwellers ride a shorter distance than those in suburban areas. Access and egress distances are both shorter in morning peak hours than those in evening peak hours and access distance on weekdays is longer than that on weekends. In addition, network-based catchment area accounts for over 90% of Euclidean catchment area in urban areas, while most of the ratios are less than 85% in suburban. The paper uses data from Nanjing, China as a case study. This study serves as a scientific basis for policy makers and bikeshare companies to improve metro–bikeshare integration.

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An appraisal of the CORINE land cover database in airport catchment area analysis using a GIS approach

Cited by 33 publications

References 11 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

Remote Sensing in Urban Forestry: Recent Applications and Future Directions

Measuring Bikeshare Access/Egress Transferring Distance and Catchment Area around Metro Stations from Smartcard Data

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