{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,19]],"date-time":"2026-03-19T13:14:07Z","timestamp":1773926047555,"version":"3.50.1"},"reference-count":62,"publisher":"MDPI AG","issue":"1","license":[{"start":{"date-parts":[[2018,1,15]],"date-time":"2018-01-15T00:00:00Z","timestamp":1515974400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"National Natural Science Foundationof China","award":["41371398"],"award-info":[{"award-number":["41371398"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>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 &gt; 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 \u00b0C in Freetown and from 24.9 to 28.2 \u00b0C 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 \u00b0C 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.<\/jats:p>","DOI":"10.3390\/rs10010112","type":"journal-article","created":{"date-parts":[[2018,1,15]],"date-time":"2018-01-15T12:30:36Z","timestamp":1516019436000},"page":"112","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":56,"title":["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"],"prefix":"10.3390","volume":"10","author":[{"given":"Musa","family":"Tarawally","sequence":"first","affiliation":[{"name":"School of Resources and Environment, University of Electronic Science and Technology of China, Chengdu 611731, China"}]},{"given":"Wenbo","family":"Xu","sequence":"additional","affiliation":[{"name":"School of Resources and Environment, University of Electronic Science and Technology of China, Chengdu 611731, China"}]},{"given":"Weiming","family":"Hou","sequence":"additional","affiliation":[{"name":"School of Inoformation Science and Engineering, Hebei University of Science and Technology, Shijiazhuang 050000, China"}]},{"given":"Terence","family":"Mushore","sequence":"additional","affiliation":[{"name":"Department of Physics, University of Zimbabwe, P.O. Box MP197, Mount Pleasant, Harare 263, Zimbabwe"},{"name":"Discipline of Geography, School of Agricultural, Earth and Environmental Sciences, University of KwaZulu-Natal, P\/Bag X01, Scottsville, Pietermaritzburg 3209, South Africa"}]}],"member":"1968","published-online":{"date-parts":[[2018,1,15]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"1663","DOI":"10.1080\/014311698215171","article-title":"An assessment of satellite remotely-sensed land cover parameters in quantitatively describing the climatic effect of urbanization","volume":"19","author":"Owen","year":"1998","journal-title":"Int. J. Remote Sens."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1007\/s10584-010-9981-8","article-title":"Understanding climate change impacts, vulnerability and adaptation at city scale: An introduction","volume":"104","author":"Hallegatte","year":"2010","journal-title":"Clim. Chang."},{"key":"ref_3","first-page":"1166","article-title":"Impact of land-use and land-cover changes on temperature trends over Western India","volume":"102","author":"Nayak","year":"2012","journal-title":"Curr. Sci."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"828","DOI":"10.1002\/wcc.144","article-title":"Land use\/land cover changes and climate: Modeling analysis and observational evidence","volume":"2","author":"Pielke","year":"2011","journal-title":"Wiley Interdiscip. Rev. Clim. Chang."},{"key":"ref_5","first-page":"1","article-title":"Extraction and Modelling of Spatio-Temporal Urban Change in Kathmandu Valley","volume":"4","author":"Acharya","year":"2015","journal-title":"Int. J. Eng. Appl. Sci. Res."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"7","DOI":"10.1016\/j.accre.2015.07.001","article-title":"Influence of urbanization on the thermal environment of meteorological station: Satellite-observed evidence","volume":"6","author":"Shi","year":"2015","journal-title":"Adv. Clim. Chang. Res."},{"key":"ref_7","first-page":"9","article-title":"Assessing the value of urban green spaces in mitigating multi-seasonal urban heat using MODIS Land Surface Temperature (LST) and Landsat 8 data","volume":"9","author":"Odindi","year":"2015","journal-title":"Int. J. Environ. Res."},{"key":"ref_8","doi-asserted-by":"crossref","unstructured":"Gusso, A., Cafruni, C., Bordin, F., Veronez, M.R., and Lenz, L. (2014, January 1\u201330). Multitemporal Analysis of Thermal Distribution Characteristics for Urban Heat Island Management. Proceedings of the 4th World Sustainability Forum, Basel, Switzerland.","DOI":"10.3390\/wsf-4-f009"},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"120","DOI":"10.1016\/j.uclim.2017.04.005","article-title":"Linking major shifts in land surface temperatures to long term land use and land cover changes: A case of Harare, Zimbabwe","volume":"20","author":"Mushore","year":"2017","journal-title":"Urban Clim."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"617","DOI":"10.1016\/j.scitotenv.2015.11.168","article-title":"Spatiotemporal trends of urban heat island effect along the urban development intensity gradient in China","volume":"544","author":"Zhou","year":"2016","journal-title":"Sci. Total Environ."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"75","DOI":"10.1016\/j.jastp.2012.05.014","article-title":"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","volume":"84\u201385","author":"Pal","year":"2012","journal-title":"J. Atmos. Sol. Terr. Phys."},{"key":"ref_12","first-page":"220","article-title":"Modular lidar systems for high-resolution 4-dimensional measurements of water vapor, temperature, and aerosols","volume":"5653","author":"Behrendt","year":"2005","journal-title":"SPIE"},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"197","DOI":"10.1289\/ehp.1104625","article-title":"Neighborhood effects on heat deaths: Social and environmental predictors of vulnerability in Maricopa county, Arizona","volume":"121","author":"Harlan","year":"2013","journal-title":"Environ. Health Perspect."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"449","DOI":"10.1016\/j.envres.2014.08.042","article-title":"Vulnerability to extreme heat by socio-demographic characteristics and area green space among the elderly in Michigan, 1990\u20132007","volume":"136","author":"Gronlund","year":"2015","journal-title":"Environ. Res."},{"key":"ref_15","doi-asserted-by":"crossref","unstructured":"Mushore, T., Mutanga, O., Odindi, J., and Dube, T. (2017). Outdoor thermal discomfort analysis in Harare, Zimbabwe in Southern Africa. S. Afr. Geogr. J.","DOI":"10.1080\/03736245.2017.1339630"},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"498","DOI":"10.1016\/j.healthplace.2010.12.005","article-title":"Intra-urban societal vulnerability to extreme heat: The role of heat exposure and the built environment, socioeconomics, and neighborhood stability","volume":"17","author":"Uejio","year":"2011","journal-title":"Health Place"},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"715","DOI":"10.1289\/ehp.1103766","article-title":"Evaluation of a Heat Vulnerability Index on Abnormally Hot Days: An Environmental Public Health Tacking Study","volume":"120","author":"Reid","year":"2012","journal-title":"Environ. Health Perspect."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"43","DOI":"10.1016\/S0924-2716(03)00016-9","article-title":"Satellite multi-sensor data analysis of urban surface temperatures and landcover","volume":"58","author":"Dousset","year":"2003","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"ref_19","unstructured":"Simone, D.G., Janeiro, R.D., Toronto, T.D., Jack, D., York, N., Toronto, J.P., and Rahman, M. (2011). Climate Change and Human Health in Cities. Cities and Climate Change\u2014First Assessment Report of the Urban Climate Change Research Network, Cambridge University Press."},{"key":"ref_20","unstructured":"Watson, R.T., and The Core Writing Team (2001). Climate Change 2001: Synthesis Report. Acontribution of Working Groups I, II and III to the Third Assessment Report of the Intergovernmental Panel on Climate Change, Cambridge University Press."},{"key":"ref_21","first-page":"67","article-title":"Assessing the effects of land use spatial structure on urban heat islands using HJ-1B remote sensing imagery in Wuhan, China","volume":"32","author":"Wu","year":"2014","journal-title":"Int. J. Appl. Earth Obs. Geoinf."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"1017","DOI":"10.1080\/01431160903505302","article-title":"Dynamics of land-use and land-cover change in Freetown, Sierra Leone and its effects on urban and peri-urban agriculture\u2014A remote sensing approach","volume":"32","author":"Forkuor","year":"2011","journal-title":"Int. J. Remote Sens."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"384","DOI":"10.4314\/sajg.v4i4.3","article-title":"Determination of Urban Thermal Characteristics on an Urban\/Rural Land Cover Gradient Using Remotely Sensed Data","volume":"4","author":"Sithole","year":"2015","journal-title":"S. Afr. J. Geomat."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"886","DOI":"10.1080\/10106049.2016.1188168","article-title":"Assessing the potential of integrated Landsat 8 thermal bands, with the traditional reflective bands and derived vegetation indices in classifying urban landscapes","volume":"32","author":"Mushore","year":"2017","journal-title":"Geocarto Int."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"287","DOI":"10.1080\/014311697219079","article-title":"Application of high-resolution thermal infrared remote sensing and GIS to assess the urban heat island effect","volume":"18","author":"Lo","year":"2010","journal-title":"Int. J. Remote Sens."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"203","DOI":"10.1007\/s11252-007-0020-0","article-title":"Assessing the effects of land use and land cover patterns on thermal conditions using landscape metrics in city of Indianapolis, United States","volume":"10","author":"Weng","year":"2007","journal-title":"Urban Ecosyst."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"32","DOI":"10.4090\/juee.2015.v9n1.32-37","article-title":"Study of Temperature Profile on Various Land Use and Land Cover for Emerging Heat Island","volume":"9","author":"Franco","year":"2015","journal-title":"J. Urban Environ. Eng."},{"key":"ref_28","first-page":"37","article-title":"Mapping Urban Heat Island Effect in Comparison with the Land Use, Land Cover of Lahore District","volume":"11","author":"Sha","year":"2015","journal-title":"Pak. J. Meteorol."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"397","DOI":"10.1016\/j.buildenv.2017.06.033","article-title":"Prediction of future urban surface temperatures using medium resolution satellite data in Harare metropolitan city, Zimbabwe","volume":"122","author":"Mushore","year":"2017","journal-title":"Build. Environ."},{"key":"ref_30","first-page":"235","article-title":"Impact of Landuse Change on Surface Temperature in Ibadan, Nigeria","volume":"9","author":"Abegunde","year":"2015","journal-title":"Int. J. Environ. Ecol. Geol. Geophys. Eng."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"52","DOI":"10.1080\/03736245.2015.1117015","article-title":"Determination of urban land-cover types and their implication on thermal characteristics in three South African coastal metropolitans using remotely sensed data","volume":"99","author":"Odindi","year":"2017","journal-title":"S. Afr. Geogr. J."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"291","DOI":"10.14358\/PERS.75.3.291","article-title":"Scaling Effect on the Relationship between Landscape Pattern and Land Surface Temperature: A Case Study of Indianapolis, United States","volume":"75","author":"Liu","year":"2009","journal-title":"Photogramm. Eng. Remote Sens."},{"key":"ref_33","unstructured":"Statistics Sierra Leone (2006). Sierra Leone Population and Housing Census 2004, Statistics Sierra Leone. Final Report."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"154","DOI":"10.1016\/j.rse.2014.02.001","article-title":"Landsat-8: Science and product vision for terrestrial global change research","volume":"145","author":"Roy","year":"2014","journal-title":"Remote Sens. Environ."},{"key":"ref_35","unstructured":"Storey, J., Scaramuzza, P., Schmidt, G., and Barsi, J. (2005, January 23\u201327). LANDSAT 7 Scan Line Corrector- off Gap-Filled Product Development. Proceedings of the Pecora 16 Conference on Global Priorities in Land Remote Sensing, Sioux Falls, SD, USA."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"1129","DOI":"10.14358\/PERS.72.10.1129","article-title":"Landsat-7 long-term acquisition plan radiometry-evolution over time","volume":"72","author":"Markham","year":"2006","journal-title":"Photogramm. Eng. Remote Sens."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"36","DOI":"10.1016\/j.isprsjprs.2014.11.001","article-title":"Evaluating the utility of the medium-spatial resolution Landsat 8 multispectral sensor in quantifying aboveground biomass in uMgeni catchment, South Africa","volume":"101","author":"Dube","year":"2015","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"ref_38","doi-asserted-by":"crossref","unstructured":"Matthew, M.W., Adler-Golden, S.M., Berk, A., Richtsmeier, S.C., Levine, R.Y., Bernstein, L.S., Acharya, P.K., Anderson, G.P., Felde, G.W., and Hoke, M.P. (2000). Status of Atmospheric Correction Using a MODTRAN4-Based Algorithm, Spectral Sciences Inc.","DOI":"10.1117\/12.410341"},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"1286","DOI":"10.1109\/36.628795","article-title":"The MODIS 2.1-\/SPL mu\/m channel-correlation with visible reflectance for use in remote sensing of aerosol","volume":"35","author":"Kaufman","year":"1997","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"073480","DOI":"10.1117\/1.JRS.7.073480","article-title":"Exploiting machine learning algorithms for tree species classification in a semiarid woodland using RapidEye image","volume":"7","author":"Adelabu","year":"2013","journal-title":"J. Appl. Remote Sens."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"941","DOI":"10.1080\/10106049.2014.894586","article-title":"Land cover classification using Landsat 8 Operational Land Imager data in Beijing, China","volume":"29","author":"Jia","year":"2014","journal-title":"Geocarto Int."},{"key":"ref_42","first-page":"37","article-title":"Multi-temporal remote sensing of land cover change and urban sprawl in the coastal city of Yantai, China","volume":"6","author":"Yu","year":"2013","journal-title":"Int. J. Digit. Earth"},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"273","DOI":"10.1080\/13504509.2011.560453","article-title":"Exploring long-Term Land Cover Changes in an Urban Region of Southern Europe","volume":"18","author":"Salvati","year":"2011","journal-title":"Int. J. Sustain. Dev. World Ecol."},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"467","DOI":"10.1016\/j.rse.2003.11.005","article-title":"Estimation of land surface temperature-vegetation abundance relationship for urban heat island studies","volume":"89","author":"Weng","year":"2004","journal-title":"Remote Sens. Environ."},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"343","DOI":"10.1016\/0924-2716(90)90077-O","article-title":"Significance of the remotely sensed thermal infrared measurements obtained over a citrus orchard","volume":"44","author":"Sobrino","year":"1990","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"434","DOI":"10.1016\/j.rse.2004.02.003","article-title":"Land surface temperature retrieval from LANDSAT TM 5","volume":"90","author":"Sobrino","year":"2004","journal-title":"Remote Sens. Environ."},{"key":"ref_47","unstructured":"Markham, B.L. (1986). Landsat MSS and TM Post-Calibration Dynamic Ranges, Exoatmospheric Reflectances and at-Satellite Temperatures, Landsat Technical Notes; European Space Agency (ESA)."},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"133","DOI":"10.1016\/j.rse.2005.11.016","article-title":"Remote sensing image-based analysis of the relationship between urban heat island and land use\/cover changes","volume":"104","author":"Chen","year":"2006","journal-title":"Remote Sens. Environ."},{"key":"ref_49","doi-asserted-by":"crossref","unstructured":"Anderson, J.R. (1976). A Land Use and Land Cover Classification System for Use with Remote Sensor Data.","DOI":"10.3133\/pp964"},{"key":"ref_50","first-page":"189","article-title":"Detection of Land-Use and Surface Temperature Change at Different Resolutions","volume":"04","author":"Omran","year":"2012","journal-title":"J. Geogr. Inf. Syst."},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"370","DOI":"10.1016\/S0034-4257(03)00079-8","article-title":"Thermal remote sensing of urban climates","volume":"86","author":"Voogt","year":"2003","journal-title":"Remote Sens. Environ."},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"32","DOI":"10.1016\/j.rse.2012.10.022","article-title":"The Vegetation adjusted NTL Urban Index: A new approach to reduce saturation and increase variation in nighttime luminosity","volume":"129","author":"Zhang","year":"2013","journal-title":"Remote Sens. Environ."},{"key":"ref_53","unstructured":"Adebowale, B.I., and Kayode, S.E. (2015, January 20\u201324). Geospatial Assessment of Urban Expansion and Land Surface Temperature in Akure, Nigeria. Proceedings of the ICUC9\u20149th International Conference on Urban Climate Jointly with 12th Symposium on the Urban Environment, Toulouse, France."},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"322","DOI":"10.4236\/ars.2013.24035","article-title":"Monitoring Urban Spatial Growth in Harare Metropolitan Province, Zimbabwe","volume":"2","author":"Kamusoko","year":"2013","journal-title":"Adv. Remote Sens."},{"key":"ref_55","doi-asserted-by":"crossref","unstructured":"Blake, R., Grimm, A., Ichinose, T., Horton, R., Gaffin, S., Jiong, S., Bader, D.A., and Cecil, L.D. (2011). Urban climate: Processes, trends and projections. First Assessment Report of the Urban Climate Change Research Network, Cambridge University Press.","DOI":"10.1017\/CBO9780511783142.009"},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"176","DOI":"10.1016\/j.uclim.2015.09.001","article-title":"Spatial variation of the daytime Surface Urban Cool Island during the dry season in Erbil, Iraqi Kurdistan, from Landsat 8","volume":"14","author":"Rasul","year":"2015","journal-title":"Urban Clim."},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"83","DOI":"10.1111\/j.1475-4959.2007.232_3.x","article-title":"Urbanization and global environmental change: Local effects of urban warming","volume":"173","author":"Grimmond","year":"2007","journal-title":"Geogr. J."},{"key":"ref_58","doi-asserted-by":"crossref","first-page":"121","DOI":"10.1016\/j.apgeog.2013.07.021","article-title":"Analysis of land use\/land cover change, population shift, and their effects on spatiotemporal patterns of urban heat islands in metropolitan Shanghai, China","volume":"44","author":"Zhang","year":"2013","journal-title":"Appl. Geogr."},{"key":"ref_59","doi-asserted-by":"crossref","first-page":"149","DOI":"10.1007\/s10546-011-9663-8","article-title":"Simulating Australian Urban Climate in a Mesoscale Atmospheric Numerical Model","volume":"142","author":"Thatcher","year":"2012","journal-title":"Bound. Layer Meteorol."},{"key":"ref_60","first-page":"256","article-title":"Bi-temporal characterization of land surface temperature in relation to impervious surface area, NDVI and NDBI, using a sub-pixel image analysis","volume":"11","author":"Zhang","year":"2009","journal-title":"Int. J. Appl. Earth Obs. Geoinf."},{"key":"ref_61","doi-asserted-by":"crossref","unstructured":"Mushore, T.D., Mutanga, O., Odindi, J., and Dube, T. (2017). Determining extreme heat vulnerability of Harare Metropolitan City using multispectral remote sensing and socio-economic data. J. Spat. Sci., 1\u201319.","DOI":"10.1080\/14498596.2017.1290558"},{"key":"ref_62","doi-asserted-by":"crossref","first-page":"571","DOI":"10.1016\/j.proenv.2010.10.062","article-title":"Analysis of the impact of Land use\/Land cover change on Land Surface Temperature with Remote Sensing","volume":"2","author":"Jiang","year":"2010","journal-title":"Procedia Environ. Sci."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/10\/1\/112\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T14:51:22Z","timestamp":1760194282000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/10\/1\/112"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,1,15]]},"references-count":62,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2018,1]]}},"alternative-id":["rs10010112"],"URL":"https:\/\/doi.org\/10.3390\/rs10010112","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,1,15]]}}}