Spatio-temporal Assessment of Urban Heat Island Effects in Kuala Lumpur Metropolitan City Using Landsat Images

Yusuf, Yusuf Ahmed; Pradhan, Biswajeet; Idrees, Mohammed Oludare

doi:10.1007/s12524-013-0342-8

Cited by 61 publications

(28 citation statements)

References 31 publications

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“…As cities grow, changes occur in the physical landscape, roads, building and other infrastructures thus replacing open land and vegetation [6][7][8]. Previous researches has shown that integration of remote sensing and geographic information system (GIS) can been used as a tool to estimate the impact of land surface temperature with the rapid urban growth development [9].…”

Section: Introductionmentioning

confidence: 99%

“…Raja et al [14] investigates the spatial analysis of land surface temperature in Dhaka area by using the linear correlation between LST and NDVI and LST and NDBI which indicates the positives relationship with NDBI due to the urban growth. Yusuf et al [6] assessed the spatio-temporal of Urban Heat Island effects in Kuala Lumpur metropolitan city by using Landsat Images. This work demonstrates the use of mono-window algorithm using band 6 ETM+.…”

Section: Introductionmentioning

confidence: 99%

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Spatial assessment of land surface temperature and land use/land cover in Langkawi Island

Bakar

Pradhan

Lay

et al. 2016

IOP Conf. Ser.: Earth Environ. Sci.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Spatial assessment of land surface temperature and land use/land cover in Langkawi Island

Bakar

Pradhan

Lay

et al. 2016

IOP Conf. Ser.: Earth Environ. Sci.

Self Cite

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“…Selangor is the most populous state in Malaysia with 5,411,324 inhabitants and has experienced rapid development due to modernization (Yusuf et al, 2014). Economically, the state takes the lead with GDP of RM 128.815 billion (roughly USD 42 billion) in 2014 making up 23% of the whole Malaysian GDP.…”

Section: Study Areamentioning

confidence: 99%

GIS-Based Optimal Site Selection for Installation of Large-Scale Smart Grid-Connected Photovoltaic (PV) Power Plants in Selangor, Malaysia

Lurwan¹,

Idrees²,

Ahmed³

et al. 2017

American Journal of Applied Sciences

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This study presents a GIS-based model to identify optimal sites to install large-scale smart grid-connected Photovoltaic (PV) power plants. Input datasets include digital elevation model, road networks, grid lines and daily average solar radiation. Using multi-criteria decision-making approach, we set constraining conditions for slope, proximity to the road, proximity to grid lines, solar radiation and land use to optimize the process of selecting suitable sites. Also, we predicted energy generation potential, installation capacity and CO 2 emission reduction potential. The result shows that 790.48 km 2 (40%) of the study is optimal for large-scale PV installation. Furthermore, a total of 105276.88 GWh/yr annual electricity generation, 59.29 GW installation capacity and yearly CO 2 emission reduction of 66324 (kt-CO 2 /yr) are estimated for Selangor. This study indicates that based on the 2030 national energy demand, about 38.4% of the annual energy demand could be met if 59.29 GW capacity is install in Selangor. Similarly, the study predicts 13.2% annual carbon emission reduction offset from the predicted 2020 CO 2 emission.

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“…However, due to the sparse distribution of observation stations, spatially continuous analysis is difficult. To solve this problem, the use of satellite data for the detection and assessment of SUHIs has been attempted [22][23][24][25][26]. Remote sensing data have wall-to-wall continuous coverage of urban areas [27].…”

Section: Introductionmentioning

confidence: 99%

Spatial and Temporal Analysis of the Mitigating Effects of Industrial Relocation on the Surface Urban Heat Island over China

Zhang

Meng

Sun

et al. 2017

IJGI

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Urbanization is typically accompanied by the relocation and reconstruction of industrial areas due to limited space and environmental requirements, particularly in the case of a capital city. Shougang Group, one of the largest steel mill operators in China, was relocated from Beijing to Hebei Province. To study the thermal environmental changes at the Shougang industrial site before and after relocation, four Landsat images (from 2000, 2005, 2010 and 2016) were used to calculate the land surface temperature (LST). Using the urban heat island ratio index (URI), we compared the LST values for the four images of the investigated area. Following the relocation of Shougang Group, the URI values decreased from 0.55 in 2005 to 0.21 in 2016, indicating that the surface urban heat island effect in the area was greatly mitigated; we infer that this effect was related to steel production. This study shows that the use of Landsat images to assess industrial thermal pollution is feasible. Accurate and rapid extraction of thermal pollution data by remote sensing offers great potential for the management of industrial pollution sources and distribution, and for technical support in urban planning departments.

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Spatio-temporal Assessment of Urban Heat Island Effects in Kuala Lumpur Metropolitan City Using Landsat Images

Cited by 61 publications

References 31 publications

Spatial assessment of land surface temperature and land use/land cover in Langkawi Island

Spatial assessment of land surface temperature and land use/land cover in Langkawi Island

GIS-Based Optimal Site Selection for Installation of Large-Scale Smart Grid-Connected Photovoltaic (PV) Power Plants in Selangor, Malaysia

Spatial and Temporal Analysis of the Mitigating Effects of Industrial Relocation on the Surface Urban Heat Island over China

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