Impact of Urban Surface Characteristics and Socio-Economic Variables on the Spatial Variation of Land Surface Temperature in Lagos City, Nigeria

Dissanayake, Dmslb; Morimoto, Takahiro; Murayama, Yuji; Ranagalage, Manjula; Handayani, Hepi Hapsari

doi:10.3390/su11010025

Cited by 48 publications

(40 citation statements)

References 53 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In 2017, it occupied 23.9% of the study area. IS expansion and decline of the vegetated area increased the temperature and enhanced the SUHI in the city area, which was also proven by past research [13,14], even in Sri Lankan cities [4,17,18]. Although the above trend was shown, the pattern of LST with persistent IS and newly added IS (gain of IS) was not broadly investigated.…”

Section: Urban Expansion and Lst Behaviormentioning

confidence: 90%

Land-Use/Land-Cover Changes and Their Impact on Surface Urban Heat Islands: Case Study of Kandy City, Sri Lanka

Dissanayake

Morimoto

Ranagalage

et al. 2019

Climate

View full text Add to dashboard Cite

An urban heat island (UHI) is a phenomenon that shows a higher temperature in urban areas compared to surrounding rural areas due to the impact of impervious surface (IS) density, and other anthropogenic activities including changes of land use/land cover (LULC). The purpose of this research is to examine the spatiotemporal land-use/land-cover changes and their impact on the surface UHI (SUHI) in Kandy City, Sri Lanka, using Landsat data and geospatial techniques. LULC classification was made by using a pixel-oriented supervised classification method, and LULC changes were computed by using a cross-cover comparison. The SUHI effect was discussed mainly through the variation of land-surface temperature (LST) over persistent IS and newly added IS. The study showed the dynamics of each LULC and its role in the SUHI. The results showed that IS areas expanded from 529 to 1514 ha (2.3% to 6.7% of the total land area) between 1996 and 2006, and to 5833 ha (23.9% of the total land area) in 2017, with an annual growth rate of 11.1% per year from 1996 to 2006 and 12.2% per year from 2006 to 2017. A gradually declining trend was observed in forest areas. Persistent IS reported the highest mean LST areas compared to newly added IS. The mean LST difference between persistent IS and newly added IS was 1.43 °C over the study period. This is because areas of persistent IS are typically surrounded by IS even in their neighborhoods, whereas areas of newly added IS occur at the edges of the city and are, therefore, cooled by the surrounding nonurban surfaces. This calls for appropriate green-oriented landscape-management methods to mitigate the impact of the SUHI in Kandy City. The findings of the study showed that LULC changes and their effect on the SUHI from 1996 to 2017 made a significant contribution to long records of change dynamics.

show abstract

Section: Urban Expansion and Lst Behaviormentioning

confidence: 90%

Land-Use/Land-Cover Changes and Their Impact on Surface Urban Heat Islands: Case Study of Kandy City, Sri Lanka

Dissanayake

Morimoto

Ranagalage

et al. 2019

Climate

View full text Add to dashboard Cite

show abstract

“…In the urban climate system, the urban thermal environment exhibits a striking difference between peak temperatures downtown and valley temperatures on the outskirts. The magnitude varies with a concentric structure [18,[67][68][69]. The results show that the urban-rural gradient theory can be employed to effectively measure SUHII.…”

Section: Suhii and Murimentioning

confidence: 92%

Impacts of Land Cover/Use on the Urban Thermal Environment: A Comparative Study of 10 Megacities in China

et al. 2020

Self Cite

View full text Add to dashboard Cite

Satellite-derived land surface temperature (LST) reveals the variations and impacts on the terrestrial thermal environment on a broad spatial scale. The drastic growth of urbanization-induced impervious surfaces and the urban population has generated a remarkably increasing influence on the urban thermal environment in China. This research was aimed to investigate land surface temperature (LST) intensity response to urban land cover/use by examining the thermal impact on urban settings in ten Chinese megacities (i.e., Beijing, Dongguan, Guangzhou, Hangzhou, Harbin, Nanjing, Shenyang, Suzhou, Tianjin, and Wuhan). Surface urban heat island (SUHI) footprints were scrutinized and compared by magnitude and extent. The causal mechanism among land cover composition (LCC), population, and SUHI was also identified. Spatial patterns of the thermal environments were identical to those of land cover/use. In addition, most impervious surface materials (greater than 81%) were labeled as heat sources, on the other hand, water and vegetation were functioned as heat sinks. More than 85% of heat budgets in Beijing and Guangzhou were generated from impervious surfaces. SUHI for all megacities showed spatially gradient decays between urban and surrounding rural areas; further, temperature peaks are not always dominant in the urban core, despite extremely dense impervious surfaces. The composition ratio of land cover (LCC%) negatively correlates with SUHI intensity (SUHII), whereas the population positively associates with SUHII. For all targeted megacities, land cover composition and population account for more than 63.9% of SUHI formation using geographically weighted regression. The findings can help optimize land cover/use to relieve pressure from rapid urbanization, maintain urban ecological balance, and meet the demands of sustainable urban growth.

show abstract

“…the LSTI pattern in the study area. Changes in built-up land have been proven to be vital in understanding the LST changing pattern in urban areas [19,32,72]. The maximum BL/FL fraction ratio increased with values of 1.7, 2.3, and 3.4 (URZ1) in 1996, 2006, and 2017, respectively.…”

Section: Landscape Changes and Lst Distribution Of Nuwara Eliyamentioning

confidence: 99%

“…Thus, satellite remote-sensing data provide vital information for observing the temperature pattern in urban areas [20]. Several studies have been conducted by using vast rage of remote sensing data, such as Modis data [21] [22][23] [24], SAR data [25], Nightlights data [26] [27], Landsat data [16] [28] [29], Land Scan [30][31] [32], and Fossil Fuel CO2 Emission data [32] [33] to understand the LST pattern.…”

Section: Introductionmentioning

confidence: 99%

“…Many urban landscapes from small to large scales have been studied worldwide [15,34,35], including coastal cities [15,32,36,37], desert cities [19,38], and mountain cities [12,13]. Mountain cities are attractive for rich people as they have a cold climate and comfortable living conditions, which have resulted in rapid urban development [13].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Landscape Changes and their Impacts on Land Surface Temperature in Tropical Hill Stations in South Asia: A Case Study of Nuwara Eliya, Sri Lanka

Ranagalage¹,

Murayama²,

Dissanayake³

et al. 2019

Preprint

Self Cite

View full text Add to dashboard Cite

Although urbanization has contributed to improving living conditions, it has had negative impacts on the natural environment in the urbanized areas. Urbanization has changed the urban landscape and resulted in increasing land surface temperature (LST). Thus, studies related to LST in various urban environments have become a popular research topic. However, few LST studies focusing on the mountain landscapes (i.e. hill stations) have been carried out. The primary objective of this study is to investigate changes in the landscape and their impacts on LST intensity (LSTI) in the tropical mountain city of Nuwara Eliya, Sri Lanka. The study utilized annual median temperatures extracted from Landsat data collected from 1996 to 2017 based on the Google Earth Engine (GEE) interface. The fractions of built-up (BL), forest (FL), and agricultural (AL) land were calculated using land use and cover maps based on the urban-rural zone (URZ) analysis. The urban-rural margin was demarcated based on the fraction of BL (<10%) and LSTI was measured using the mean LST difference in the urban-rural zone. In addition, the mixture of land use types was calculated using the AL/FL and BL/FL fraction ratios, and grid-based density analysis. The result shows that the BL in all URZ rapidly developed, while AL decreased during the period 1996 to 2017. There was minimal change in the forest area of the Nuwara Eliya owing to the government forest preservation policies. The fraction of the BL increased from 32.4% in 1996 to 58.7% in 2017 in the city center zone (URZ1) resulting in increased mean LST by 4.7 °C. Furthermore, the increase of the BL/FL fraction ratio and the decrease of the AL/FL fraction ratio were positively correlated with the mean LST. Grid-based analysis showed an increasing positive relationship between mean LST and density of BL. This indicated that BL density has been a crucial element in increasing LST in the study area. The results of this study will be a useful indicator to introduce improved landscape and urban planning in the future to minimize the negative impact of LST on urban sustainability.

show abstract

Impact of Urban Surface Characteristics and Socio-Economic Variables on the Spatial Variation of Land Surface Temperature in Lagos City, Nigeria

Cited by 48 publications

References 53 publications

Land-Use/Land-Cover Changes and Their Impact on Surface Urban Heat Islands: Case Study of Kandy City, Sri Lanka

Land-Use/Land-Cover Changes and Their Impact on Surface Urban Heat Islands: Case Study of Kandy City, Sri Lanka

Impacts of Land Cover/Use on the Urban Thermal Environment: A Comparative Study of 10 Megacities in China

Landscape Changes and their Impacts on Land Surface Temperature in Tropical Hill Stations in South Asia: A Case Study of Nuwara Eliya, Sri Lanka

Contact Info

Product

Resources

About