Comparative Analysis of Responses of Land Surface Temperature to Long-Term Land Use/Cover Changes between a Coastal and Inland City: A Case of Freetown and Bo Town in Sierra Leone

Urban growth and its associated expansion of built-up areas are expected to continue through to the twenty second century and at a faster pace in developing countries. This has the potential to increase thermal discomfort and heat-related distress. There is thus a need to monitor growth patterns, especially in resource constrained countries such as Africa, where few studies have so far been conducted. In view of this, this study compares urban growth and temperature response patterns in Freetown and Bo town in Sierra Leone. Multispectral Landsat images obtained in 1998, 2000, 2007, and 2015 are used to quantify growth and land surface temperature responses. The contribution index (CI) is used to explain how changes per land use and land cover class (LULC) contributed to average city surface temperatures. The population size of Freetown was about eight times greater than in Bo town. Landsat data mapped urban growth patterns with a high accuracy (Overall Accuracy > 80%) for both cities. Significant changes in LULC were noted in Freetown, characterized by a 114 km2 decrease in agriculture area, 23 km2 increase in dense vegetation, and 77 km2 increase in built-up area. Between 1998 and 2015, built-up area increased by 16 km2, while dense vegetation area decreased by 14 km2 in Bo town. Average surface temperature increased from 23.7 to 25.5 °C in Freetown and from 24.9 to 28.2 °C in Bo town during the same period. Despite the larger population size and greater built-up extent, as well as expansion rate, Freetown was 2 °C cooler than Bo town in all periods. The low temperatures are attributed to proximity to sea and the very large proportion of vegetation surrounding the city. Even close to the sea and abundant vegetation, the built-up area had an elevated temperature compared to the surroundings. The findings are important for formulating heat mitigation strategies for both inland and coastal cities in developing countries.

[1]  J. Odindi,et al.  Determination of Urban Thermal Characteristics on an Urban/Rural Land Cover Gradient Using Remotely Sensed Data , 2015 .

[2]  Hua Liu,et al.  Scaling Effect on the Relationship between Landscape Pattern and Land Surface Temperature : A Case Study of Indianapolis, United States , 2009 .

[3]  T. Mushore,et al.  Assessing the potential of integrated Landsat 8 thermal bands, with the traditional reflective bands and derived vegetation indices in classifying urban landscapes , 2017 .

[4]  H. Balzter,et al.  Spatial variation of the daytime Surface Urban Cool Island during the dry season in Erbil, Iraqi Kurdistan, from Landsat 8 , 2015 .

[5]  T. Mushore,et al.  Outdoor thermal discomfort analysis in Harare, Zimbabwe in Southern Africa , 2018 .

[6]  Lorraine Remer,et al.  The MODIS 2.1-μm channel-correlation with visible reflectance for use in remote sensing of aerosol , 1997, IEEE Trans. Geosci. Remote. Sens..

[7]  Hao Wu,et al.  Assessing the effects of land use spatial structure on urban heat islands using HJ-1B remote sensing imagery in Wuhan, China , 2014, Int. J. Appl. Earth Obs. Geoinformation.

[8]  J. Corfee-Morlot,et al.  Understanding climate change impacts, vulnerability and adaptation at city scale: an introduction , 2011 .

[9]  M. Thatcher,et al.  Simulating Australian Urban Climate in a Mesoscale Atmospheric Numerical Model , 2011, Boundary-Layer Meteorology.

[10]  I. Yang,et al.  Extraction and Modelling of Spatio-Temporal Urban Change in Kathmandu Valley , 2015 .

[11]  David P. Miller,et al.  Status of atmospheric correction using a MODTRAN4-based algorithm , 2000, SPIE Defense + Commercial Sensing.

[12]  Pcs Devara,et al.  A wavelet-based spectral analysis of long-term time series of optical properties of aerosols obtained by lidar and radiometer measurements over an urban station in Western India , 2012 .

[13]  Gerald Forkuor,et al.  Dynamics of land-use and land-cover change in Freetown, Sierra Leone and its effects on urban and peri-urban agriculture – a remote sensing approach , 2011 .

[14]  Guangjin Tian,et al.  Analysis of the impact of Land use/Land cover change on Land Surface Temperature with Remote Sensing , 2010 .

[15]  D. Lu,et al.  Estimation of land surface temperature-vegetation abundance relationship for urban heat island studies , 2004 .

[16]  Martha C. Anderson,et al.  Landsat-8: Science and Product Vision for Terrestrial Global Change Research , 2014 .

[17]  D. Lu,et al.  Assessing the effects of land use and land cover patterns on thermal conditions using landscape metrics in city of Indianapolis, United States , 2007, Urban Ecosystems.

[18]  C. Gronlund,et al.  Vulnerability to extreme heat by socio-demographic characteristics and area green space among the elderly in Michigan, 1990-2007. , 2015, Environmental research.

[19]  T. Carlson,et al.  An assessment of satellite remotely-sensed land cover parameters in quantitatively describing the climatic effect of urbanization , 1998 .

[20]  William L. Stefanov,et al.  Neighborhood Effects on Heat Deaths: Social and Environmental Predictors of Vulnerability in Maricopa County, Arizona , 2012, Environmental health perspectives.

[21]  S. Grimmond Urbanization and global environmental change: local effects of urban warming , 2007 .

[22]  Onisimo Mutanga,et al.  Assessing theValue ofUrbanGreen Spaces inMitigatingMulti-SeasonalUrban Heat usingMODISLand SurfaceTemperature (LST) andLandsat 8 data , 2015 .

[23]  M. Veronez,et al.  Multitemporal Analysis of Thermal Distribution Characteristics for Urban Heat Islands Management , 2014 .

[24]  E. Omran Detection of Land-Use and Surface Temperature Change at Different Resolutions , 2012 .

[25]  D. Quattrochi,et al.  Application of high-resolution thermal infrared remote sensing and GIS to assess the urban heat island effect , 1997 .

[26]  José A. Sobrino,et al.  Significance of the remotely sensed thermal infrared measurements obtained over a citrus orchard , 1990 .

[27]  Xingfa Gu,et al.  Land cover classification using Landsat 8 Operational Land Imager data in Beijing, China , 2014 .

[28]  Hitomi Murakami,et al.  Monitoring Urban Spatial Growth in Harare Metropolitan Province, Zimbabwe , 2013 .

[29]  B. Dousseta,et al.  Satellite multi-sensor data analysis of urban surface temperatures and landcover , 2003 .

[30]  J. A. Voogta,et al.  Thermal remote sensing of urban climates , 2003 .

[31]  S. Nayak,et al.  Impact of land-use and landcover changes on temperature trends over Western India , 2012 .

[32]  Onisimo Mutanga,et al.  Prediction of future urban surface temperatures using medium resolution satellite data in Harare metropolitan city, Zimbabwe , 2017 .

[33]  Abegunde Linda,et al.  Impact of Landuse Change on Surface Temperature in Ibadan, Nigeria , 2015 .

[34]  José A. Sobrino,et al.  Land surface temperature retrieval from LANDSAT TM 5 , 2004 .

[35]  Xiaoling Chen,et al.  Remote sensing image-based analysis of the relationship between urban heat island and land use/cover changes , 2006 .

[36]  Volker Wulfmeyer,et al.  Modular lidar systems for high-resolution 4-dimensional measurements of water vapor, temperature, and aerosols , 2005, SPIE Asia-Pacific Remote Sensing.

[37]  Onisimo Mutanga,et al.  Exploiting machine learning algorithms for tree species classification in a semiarid woodland using RapidEye image , 2013 .

[38]  Onisimo Mutanga,et al.  Determining extreme heat vulnerability of Harare Metropolitan City using multispectral remote sensing and socio-economic data , 2018 .

[39]  Weichun Ma,et al.  Analysis of land use/land cover change, population shift, and their effects on spatiotemporal patterns of urban heat islands in metropolitan Shanghai, China , 2013 .

[40]  K. Seto,et al.  The Vegetation Adjusted NTL Urban Index: A new approach to reduce saturation and increase variation in nighttime luminosity , 2013 .

[41]  L. Salvati,et al.  Exploring long-term land cover changes in an urban region of southern Europe , 2011 .

[42]  O. Mutanga,et al.  Evaluating the utility of the medium-spatial resolution Landsat 8 multispectral sensor in quantifying aboveground biomass in uMgeni catchment, South Africa , 2015 .

[43]  Olga V. Wilhelmi,et al.  Intra-urban societal vulnerability to extreme heat: the role of heat exposure and the built environment, socioeconomics, and neighborhood stability. , 2011, Health & place.

[44]  R. Betts,et al.  Land use/land cover changes and climate: modeling analysis and observational evidence , 2011 .

[45]  J. Storey,et al.  LANDSAT 7 SCAN LINE CORRECTOR-OFF GAP-FILLED PRODUCT DEVELOPMENT , 2005 .

[46]  J. Balmes,et al.  Evaluation of a Heat Vulnerability Index on Abnormally Hot Days: An Environmental Public Health Tracking Study , 2012, Environmental health perspectives.

[47]  James R. Anderson,et al.  A land use and land cover classification system for use with remote sensor data , 1976 .

[48]  Xiyong Hou,et al.  Multi-temporal remote sensing of land cover change and urban sprawl in the coastal city of Yantai, China , 2012 .

[49]  J. L. Barker,et al.  Landsat MSS and TM post-calibration dynamic ranges , 1986 .

[50]  Inakwu O. A. Odeh,et al.  Bi-temporal characterization of land surface temperature in relation to impervious surface area, NDVI and NDBI, using a sub-pixel image analysis , 2009, Int. J. Appl. Earth Obs. Geoinformation.

[51]  T. Mushore,et al.  Linking major shifts in land surface temperatures to long term land use and land cover changes: A case of Harare, Zimbabwe , 2017 .

[52]  V. R. Mandla,et al.  STUDY OF TEMPERATURE PROFILE ON VARIOUS LAND USE AND LAND COVER FOR EMERGING HEAT ISLAND , 2015 .

[53]  Tao Shi,et al.  Influence of urbanization on the thermal environment of meteorological station: Satellite-observed evidence , 2015 .

[54]  Onisimo Mutanga,et al.  Determination of urban land-cover types and their implication on thermal characteristics in three South African coastal metropolitans using remotely sensed data , 2017 .

[55]  B. Ghauri,et al.  Mapping Urban Heat Island Effect in Comparison with the Land Use, Land Cover of Lahore District , 2015 .

[56]  R. Zimmerman,et al.  Climate Change and Cities: Climate change and human health in cities , 2011 .

[57]  Brian L. Markham,et al.  Landsat-7 Long-Term Acquisition Plan Radiometry - Evolution Over Time , 2006 .

[58]  G. Sun,et al.  Spatiotemporal trends of urban heat island effect along the urban development intensity gradient in China. , 2016, The Science of the total environment.