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Spatio-Temporal Land Cover Analysis and the Impact of Land Cover Variability Indices on Land Surface Temperature in Greater Accra, Ghana Using Multi-Temporal Landsat Data
Linnaeus University, Faculty of Technology, Department of Built Environment and Energy Technology.ORCID iD: 0000-0001-9036-119X
Ecole Africaine des Métiers de l’Architecture et de l’Urbanisme, Togo.ORCID iD: 0000-0002-7661-846X
2022 (English)In: Journal of Geographic Information System, ISSN 2151-1950, E-ISSN 2151-1969, Vol. 14, no 3, p. 240-258Article in journal (Refereed) Published
Sustainable development
SDG 11: Make cities and human settlements inclusive, safe, resilient, and sustainable
Abstract [en]

Urbanization, as a result of anthropogenic activities, reduces the vegetated and green spaces and thereby increases the impervious surfaces in cities. This in turn increases the surface temperature of cities when compared to the rural regions resulting in the formation of urban heat island. Especially, in under-developed countries, it is very crucial to obtain timely and accurate information on the urban trend and its development due to the higher increasing rate of population growth and lack of infrastructural facilities and regulations to mitigate the adverse consequences of urbanization. The current study analyzes the urban development of Greater Accra, Ghana using Landsat 7 dataset acquired in 2002, 2013, and 2020. Further, the influence of urban growth on the land surface temperature (LST) and land cover variability (LCV) indices including NDVI (Normalized Difference Vegetation Index), NDBI(Normalized Difference Built-Up Index), and NDWI (Normalized Difference Water Index) is identified during the study periods. Results suggest that the area of built-up quadrupled between 2002 and 2020 in the study region.Shannon’s entropy-based analysis suggests that the urban development in the region is heterogeneous or dispersive in nature. Further, the regression analysis highlights a strong positive relation between LST and NDBI (0.755) and a negative relation is found associated between LST and NDVI (0.4417) and LST and NDWI (0.76). Results of the study could be useful to design sustainable urban socio-economic and environmental planning policies in the study region.

Place, publisher, year, edition, pages
Scientific Research Publishing, 2022. Vol. 14, no 3, p. 240-258
National Category
Physical Geography Earth Observation
Research subject
Technology (byts ev till Engineering), Bioenergy Technology
Identifiers
URN: urn:nbn:se:lnu:diva-115043DOI: 10.4236/jgis.2022.143013OAI: oai:DiVA.org:lnu-115043DiVA, id: diva2:1679187
Available from: 2022-06-30 Created: 2022-06-30 Last updated: 2025-05-23Bibliographically approved

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Devendran, Aarthi Aishwarya

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