Classification of Land Use Changes (Model Area: Nitra Town)

Haladová, Ivana; Petrovič, František

doi:10.1515/eko-2015-0024

Cited by 4 publications

(4 citation statements)

References 17 publications

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“…All this leads to the ever more serious fragmentation of the landscape and the habitats, the appearance of an increasing number of degraded surfaces and vegetations, the disappearance of alleys and groups of trees beside the roads, which makes the landscape more homogenous and boring, and thereby less valuable. We agree with Haladová and Petrovič (2015) who monitored the land use changes in the model area of Nitra.…”

Section: Discussionsupporting

confidence: 90%

Environmental consequences of the urban sprawl in the suburban zone of Nitra: An analysis based on landcover data

Hardi¹,

Repaská²,

Veselovský³

et al. 2020

Geographica Pannonica

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One of the most important territorial processes in the highly urbanised continent of Europe is suburbanisation, urban sprawl which occurs in a gradual manner over long periods and is not perceived as dramatic. Nevertheless the built-up urban areas and the urban lifestyle occupy step by step the periurban territories. Urban sprawl affects the essential environmental, economic and social functions of the impacted settlements. In the last decades these processes reached the less urbanised Central European region, leading to very fast and less planned changes in its settlement system. The research deals with these processes in the Central European non-metropolitan areas, around regional centres, and with their environmental impacts. The aim of this paper is, based on theoretical and empirical knowledge, to point out to spatial patterns of urban sprawl and suburbanisation in functional urban areas (FUA). This paper examines the urban sprawl and its impacts in Slovakia in the case of Nitra Functional Urban Area, in the agglomeration of an economically growing regional centre. The research is based on standard geographical methods including field research. Desktop and field empirical researches were conducted, with different methods such us GIS analysis of land use change. The analysis shows then to what extent cities and urban areas grow, from which one can conclude to how landscape surrounding the urban residential areas has changed, how the proportion of non-permeable surfaces increased, basically influencing the runoff of precipitation. The data demonstrate, moreover, how artificial patches and barriers fragment landscape more and more, endangering thereby biodiversity and decreasing green surfaces. The examination covers the 2000-2018 period, using the CORINE CLC 2000, 2006, 2012 and 2018 databases. Thereby the authors are able to examine changes in a longer period of almost two decades, and three internal periods. All this is compared to the demographic changes of the urban area of Nitra as well, in order to see to what extent the change in the number of population contributes to the transformation of land cover and thereby to environmental impacts. The characteristic features of Nitra and its hinterland within this are analysed, then the Nitra FUA and within that the suburban zone is examined in detail. Nitra and its area feature high enlargement dynamics looking at the whole of the period, compared to other FUAs. It is typical almost everywhere that the enlargement of areas surrounding cities is more intensive than the growth of the city itself, which demonstrates general suburbanisation.

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Section: Discussionsupporting

confidence: 90%

Environmental consequences of the urban sprawl in the suburban zone of Nitra: An analysis based on landcover data

Hardi¹,

Repaská²,

Veselovský³

et al. 2020

Geographica Pannonica

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“…Changes occurred only at the point of evident changes in their overlap with the historical orthophoto map. This method is useful particularly for identification of changes in landscape cover and structure (Boltižiar, 2007;Falťan, Bánovský, 2008;Solár, 2013;Solár, Janiga, 2013;Haladová, Petrovič, 2015;Kaczka et al, 2015;Kubinský et al, 2015), but it seems to be applicable for the assessment of geomorphological processes (Kapusta et al, 2010;Hreško et al, 2012;Długosz, Kapusta, 2015) and dynamics of lake shorelines (Kapusta, 2016). When digitizing the data in GIS (shorelines in this case), only a copy of the original layer, not the completely new layer is created.…”

Section: Methodsmentioning

confidence: 99%

Water Surface Overgrowing of the Tatra’s Lakes

Kapusta

Hreško

Petrovič

et al. 2018

Ekológia (Bratislava)

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Kapusta J., Hreško J., Petrovič F., Tomko-Králo D., Gallik J.: Water surface overgrowing of the Tatra's lakes. Ekológia (Bratislava), Vol. 37, No. 1, p. 11-23, 2018. Tatra's lakes are vulnerable ecosystems and an important element of the alpine landscape. Mainly some shallow lake basins succumb to intense detritus sedimentation, fine fractions of material from the catchment area or to the overgrowing of water level by vegetation. In this paper, changes and dynamics of the 12 Tatra's lake shorelines that were selected based on the detailed mapping of their extent are pointed out. Changes were assessed by accurate comparisons of historical and current orthophoto maps from the years 1949, 1955 and 2015 -and therefore, based on the oldest and the latest relevant materials. Due to the overgrowing of lakes caused by vegetation, their water surface decreased from -0.9% up to -47.9%, during the examined period. Losses were caused by the overgrowing of open water surface by the communities of sedges and peat bogs. The most significant dynamics of the shorelines during the last decades were reached by those lakes, into which fine sediments were simultaneously deposited by means of mountain water coarse. These sediments made the marginal parts of the lake basins shallower and accelerated rapid expansion of vegetation to the detriment of the open water surface. The overgrowing of shallow moraine lakes lying in the vegetation zone is a significant phenomenon of the High Tatras alpine landscape. It leads to their gradual extinction, turn into peat bogs and wet alpine meadows.

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“…According to (Prabaharan et al, 2010); (Haladová and Petrovič, 2015), LULCC along with GIS and Remote Sensing data are employed in studies to detect changes that have occurred in a particular area over the years. The same method has been used by several other researchers such as (Santillan, Makinano and Paringit, 2010); (Haladová and Petrovič, 2015); (Khan et al, 2016); (Dami and Mayomi, 2016); (Abu Ghurah et al, 2018) and (Rahman, 2019), to quantify the extent of land use and land cover changes. Following this, the huge role of remote sensing and GIS in advancing research in land-use and land-cover change analysis cannot be downplayed.…”

Section: Introductionmentioning

confidence: 99%

Analysis of Land-Use and Land-Cover Changes in YongDeng County Using Remote Sensing and GIS

2020

JEES

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To generate reliable data on the spatiotemporal changes in land use and land cover in YongDeng county over a period of 24 years (1993 -2017) that will provide a basis for land use management decisions and policy formulation, this study used RS and GIS to analyze Landsat images of 1993, 2001, 2009 and 2017 of the study area which were acquired from the Geospatial Data Cloud (Http/westdc.westgis.ac.cn). Using supervised classification based on maximum likelihood classification method in ArcGIS (version 10.3) to classify images of the various years, the computed land use and land cover classes indicate that over the period of 24 years, significant Land use and land cover changes have occurred in the study area and the dominant land-use types in the study area were found to be grassland, bare land woodland and cultivated land occupying 65 percent, 20 percent, 8 percent and 6 percent of the study area respectively. As the years pass by, urban sprawl, population growth, agricultural activities, and other socio-economic activities in the study area, have led to rapid land-use transfer and change intensity. The results revealed that about 4.5 km² of grassland, 3.21 km² of bare land, 2.51 km² of cultivated lands and 1.7 km² of woodland were changed to construction lands from 1993-2017, whiles Cultivated lands, on the other hand, made gains of 2.56 km² from Garden lands, 2.3 km² from bare land and 1.05 km² from woodland from 1993 to 2017. Whiles transport land, from 1993 to 2017 gained 3.3 km² from bare land, 2.42 km² from grassland, and 1.32 km² from cultivated. Cultivated land, transportation land, construction land and water area and conservation land showed significantly positive land-use change intensity index of 2.19%, 1.97%, 1.49% and 1.31% respectively. Garden Land and woodland, though not significant also showed positive land-use change intensity of 0.55% and 0.79% respectively. The study identified population growth, urbanization and policy orientation as the main drivers of land use/land cover change in the area. The results reveal there is an urgent need to put measures in place to reduce the overexploitation of land in order to protect the integrity of biodiversity and to also ensure a continuous supply of valuable ecosystem services.

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Classification of Land Use Changes (Model Area: Nitra Town)

Cited by 4 publications

References 17 publications

Environmental consequences of the urban sprawl in the suburban zone of Nitra: An analysis based on landcover data

Environmental consequences of the urban sprawl in the suburban zone of Nitra: An analysis based on landcover data

Water Surface Overgrowing of the Tatra’s Lakes

Analysis of Land-Use and Land-Cover Changes in YongDeng County Using Remote Sensing and GIS

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