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Land cover changes in foothill and mountain landscapes of the Lviv oblast (Ukrainian Carpathians)

100%
Smaliychuk A.
Prace Geograficzne
|
2013
|
issue 132
133–144
EN
This paper analyzes land cover changes at a small scale with respect to the environmental and socio - economic characteristics in five model municipalities. The data used included 1 :50,000 Soviet topographic maps (1976 – 1989), recent fine scale satellite images from the Google Earth, natural geoecosystems data and 1 :10,000 cadastral maps which provide land use structure data. The model areas selected for our study are rural and situated in different parts of Ukrainian Carpathians. A common tendency for four of five model areas is an increase in the area with forest or shrubland owing to the abandonment of former agricultural lands. The results of statistical analysis showed that land use type, landform, location within an ecotone and slope inclination have the most significant influence on the occurrence of secondary succession. At the same time, transport infrastructure parameters have no essential influence on recent land cover changes.
2
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Potential influence of urban sprawl and changing land surface temperature on outdoor thermal comfort in Lagos State, Nigeria

100%
Obiefuna J. N., Okolie C. J., Nwilo P. C., Daramola O. E., Isiofia L. C.
Quaestiones Geographicae
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2021
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vol. 40
|
issue 1
5-23
EN
The continuous monitoring of the relationship between land surface temperature (LST) and land cover change is imperative for an inquiry into the potential impact of LST on human well-being, including urban outdoor thermal comfort in Lagos State, Nigeria. Using Landsat imagery, this study assessed land cover and LST changes from 1984 to 2019. Land cover was extracted, LST was determined from Landsat imageries and the land cover changes were linked to LST using the contribution index (CI). Afterwards, the universal thermal climate index (UTCI) was calculated to determine the heat stress levels. Findings confirm the presence of urban sprawl and new growth areas in previously rural Local Government Areas (LGAs) eastward, northward and westward of Lagos metropolis and in regions which lie on the fringe of the state’s border with Ogun State. Also, a very strong link between high LST intensities and increasing concentration of urban areas in rapidly growing LGAs has been observed. This link further confirms the increased warming of the state, with an increase in mean LST of 2.16°C during 1984–2019. The UTCI which was used to gauge the influence of LST on outdoor thermal comfort ranged from moderate to strong heat stress levels. This study helps to strengthen the case for definite policies and actions which should be aimed at achieving moderate urban development through increased urban tree canopy/green infrastructure provision and carbon sequestration activities in urban design/landscape design, in Lagos State.
3
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Pokrycie terenu województwa łódzkiego w latach 2000–2018 w świetle danych Corine Land Cover

72%
Nalej M.
Acta Geographica Lodziensia
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2019
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vol. 109
75-89
PL
Celem pracy była analiza pokrycia terenu i jego zmian w województwie łódzkim w latach 2000–2018. Bazując na danych CORINE Land Cover oraz wykorzystując narzędzia GIS, wykonano analizę pokrycia terenu i jego zmian dla trzech przedziałów czasowych 2000–2006, 2006–2012 i 2012–2018, w ujęciu ilościowym i przestrzennym, co pozwoliło na scharakteryzowanie pokrycia terenu badanego obszaru oraz uchwycenie kierunków zmian, ich natężenia i miejsca występowania. W badaniu przeprowadzono pomiar gęstości zmian metodą estymacji rozkładu gęstości z wykorzystaniem nieparametrycznych estymatorów jądrowych (kernel function).
EN
The aim of the author was to analyse land cover and its changes in the Łódź Voivodeship in the years 2000–2018. Based on CORINE Land Cover data and using GIS tools, analysis of land cover and its changes were performed for three intervals – the years 2000–2006, 2006–2012 and 2012–2018 – in spatial and quantitative terms. This approach allowed the land cover of the studied area to be characterised and the directions, intensity and spatial distribution of changes to be captured. In the study the density of changes was measured using the method of density distribution estimation with the use of non-para-metric nuclear estimators – the kernel function.
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