Spatio-temporal analysis of land surface temperature variations in the rapidly developing Akure and its environs, southwestern Nigeria using Landsat data
Open accessAbstract
The study attempted to assess land surface temperature (LST) variations in Akure, a millennium development city, and its environs, in Nigeria. The importance of LST as a vital component in global climate change cannot be over emphasized because as the greenhouse gases in the atmosphere increases, the LST also increases. Spatio-temporal assessment of LST variation is therefore becoming imperative to identify the contributing factors and the corresponding magnitude of contributions to the variation using remote sensing and GIS techniques. Landsat TM image of 1991, Landsat ETM+ image of 2002 and Landsat OLI/TIRS of 2015 were used and processed using ArcGIS 10.1, IDRISI and Erdas imagine 9.3 to generate indices such as Normalized Difference Vegetation Index NDVI, Land Use Land Cover (LULC) and Land Surface Temperature (LST). The finding showed that the changes, both spatial and temporal within the land uses influenced the temperature variations in the study area. The built-up, rock outcrops, farmland and vegetation land uses recorded mean temperature change of 4.91±0.7, 3.53±0.3, 3.14±0.2 and 1.87±0.3 respectively, with their respective yearly temperature increase estimated at 0.21°C, 0.15°C, 0.14°C and 0.08°C between 1991 and 2015. The study concludes that the observed increasing variations in LST in all the land uses has been precipitated by rapid land use conversion and modification that may have strong tendency to usher in climate related problems such as flood, human discomfort and other associated environmental hazards. An effective land use policy is therefore suggested to complement Federal Government ‘green policy’ urban environment.Keywords: LST variation, Land Use Land Cover, NDVI, GIS, Remote sensing technique, Nigeria
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
People living in locations with high LST have more significant, unfavorable health consequences than populations living in areas with low LST.
“People living in locations with high LST have more significant, unfavorable health consequences than populations living in areas with low LST [103-106]”
From Assessing the Spatial Mapping of Heat Vulnerability under Urban Heat Island (UHI) Effect in the Dhaka Metropolitan Area (2022) · cites this paper as [105]
The Discussion (page unavailable) says higher temperatures in Akure may cause discomfort and impair concentration or work, and reports higher land surface temperatures in built-up areas. It does not compare health outcomes among people living in high- and low-LST locations or establish that the former experience more significant consequences. (LLM, conf=0.85)
Experimental — accuracy not yet measuredLand use and land cover control LST distribution, such that urban areas with less vegetation have higher land surface temperatures than rural and forest areas with lower land surface temperatures.
“The land use and land cover of the locations control LST distribution, wherein urban areas with less vegetation have higher land surface temperatures than rural and forest areas with lower land surface temperatures [104,105].”
From Assessing the Spatial Mapping of Heat Vulnerability under Urban Heat Island (UHI) Effect in the Dhaka Metropolitan Area (2022) · cites this paper as [105]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Arnfield, A. J. (2003) · International Journal of Climatology · doi:10.1002/joc.859 · Cited by 3,543 · see citing works
Thermal remote sensing of urban climates
Voogt, J., & Oke, T. R. (2003) · Remote Sensing of Environment · doi:10.1016/s0034-4257(03)00079-8 · Cited by 3,255 · see citing works
Yue, W., Xu, J., Tan, W., et al. (2007) · International Journal of Remote Sensing · doi:10.1080/01431160500306906 · Cited by 399 · see citing works
Tracking the Anthropogenic Drivers of Ecological Impacts
Rosa, E. A., York, R., & Dietz, T. M. (2004) · AMBIO · doi:10.1579/0044-7447-33.8.509 · Cited by 243 · see citing works
ESTIMATION OF LAND SURFACE TEMPERATURE OF DINDIGUL DISTRICT USING LANDSAT 8 DATA
Rajeshwari, A. (2014) · International Journal of Research in Engineering and Technology · doi:10.15623/ijret.2014.0305025 · Cited by 227 · see citing works
Iloeje, N. P. (1981) · Medical Entomology and Zoology · Cited by 198 · see citing works
Feizizadeh, B., & Blaschke, T. (2013) · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · doi:10.1109/jstars.2013.2263425 · Cited by 151 · see citing works
Lo, & Quattrochi (2003) · Photogrammetric Engineering & Remote Sensing · Cited by 131 · see citing works
Remote sensing of the urban heat island and its changes in Xiamen City of SE China.
Xu, H., & Chen, B. (2004) · PubMed · Cited by 128 · see citing works
Zhang, J., & Wang, Y. (2008) · Sensors · doi:10.3390/s8117453 · Cited by 121 · see citing works
Akinbode, O. M., Eludoyin, A. O., & Fashae, O. A. (2007) · Journal of Environmental Management · doi:10.1016/j.jenvman.2007.01.018 · Cited by 100 · see citing works
Singh, R. B., Grover, A., & Zhan, J. (2014) · Energies · doi:10.3390/en7031811 · Cited by 99 · see citing works
Tracking the Anthropogenic Drivers of Ecological Impacts
Rosa, E. A., York, R., & Dietz, T. M. (2004) · AMBIO · doi:10.1639/0044-7447(2004)033[0509:ttadoe]2.0.co;2 · Cited by 28 · see citing works
Urban Heat Island: Cause for microclimate variations
Valsson, S., & Bharat, A. (2009) · Cited by 26 · see citing works
Alavipanah, S. K., Saradjian, M. R., Savaghebi, G. R., et al. (2010) · Cited by 23 · see citing works
Oluseyi, I. O., Danlami, M. S., & Olusegun, A. J. (2011) · Journal of Geography and Geology · doi:10.5539/jgg.v3n1p77 · Cited by 22 · see citing works
Malaria Morbidity in Akure, Southwest, Nigeria: A Temporal Observation in a Climate Change Scenario
Ayeni, A. O. (2011) · Trends in Applied Sciences Research · doi:10.3923/tasr.2011.488.494 · Cited by 21 · see citing works
Stock, R., Barbour, K. M., Oguntoyinbo, J. S., et al. (1983) · Canadian Journal of African Studies / Revue canadienne des études africaines · doi:10.2307/484937 · Cited by 21 · see citing works
An Assessment of Urban Heat Island in Akure Using Geospatial Techniques
Olaide, A. (2013) · IOSR Journal of Environmental Science Toxicology and Food Technology · doi:10.9790/2402-0632434 · Cited by 8 · see citing works
Zemba, A. A. (2010) · Global Journal of Human-Social Science · Cited by 7 · see citing works
Kuta, G. I. (2012) · Cited by 4 · see citing works
Flagged first, then by citations
Research works printed but not linked: 4
- [4]4. Iwuchukwu, J.C. and Igbokwe, E.M. (2012). Lessons from Agricultural Policies and Programmes in Nigeria Journal of Law, Policy and Globalization, 5: 11-21.
- [6]6. Mather, P.M. (1999). Computer Processing of Remotely Sensed Imageries-An Introduction. John Wiley and Sons, Toronto
- [11]11. Sackey, A.N.A. (2008). Environmental Impacts of Rapid Urbanization of Ethiopia's Cities In M.P. Van Dijk and J. Fransen (eds) Managing Ethiopian Cities in an Era of Rapid Urbanization. Eburon Delft. Pp. 119-131
- [15]15. Uluocha, N.O. and Ekop, G. (2002). Nigeria: Geography. In: History and Cultures of Nigeria up to 2000, Osuntokun, A., D. Aworawo and F. Masajuwa (Eds.). Frankad Publishers, Lagos, Nigeria pp: 3-19.
Cited by
Sorted by citations
Abrar, R., Sarkar, S. K., Nishtha, K. T., Talukdar, S., Shahfahad, Rahman, A., Islam, A. R. M. T., & Mosavi, A. (2022) · Sustainability · doi:10.3390/su14094945 · Cited by 87 · see citing works
“The land use and land cover of the locations control LST distribution, wherein urban areas with less vegetation have higher land surface temperatures than rural and forest areas with lower land surface temperatures [104,105].”
Background
- Authors
- Ibitoye, M. O., Aderibigbe, O. G., Adegboyega, S. A., & Adebola, A. O.
- Affiliations
- Federal University of Technology (NG)
- Venue
- Ethiopian Journal of Environmental Studies and Management
- Publisher
- African Journals Online (AJOL)
- Published
- 2017-05-18
- Volume
- 10
- Issue
- 3
- Pages
- 389
- ISSN
- 1998-0507 (ISSN-L)
- OpenAlex
- W2614645882
- Cited by
- 9
- References
- 21
- Citations by year
- 2025: 1 · 2024: 1 · 2023: 1 · 2022: 1 · 2021: 5
- FWCI
- 0.00
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Locations
- Ethiopian Journal of Environmental Studies and Management (publishedVersion)
- Topics
- Physical Sciences › Environmental Science › Environmental Engineering › Urban Heat Island Mitigation
- Physical Sciences › Environmental Science › Global and Planetary Change › Land Use and Ecosystem Services
- Physical Sciences › Earth and Planetary Sciences › Atmospheric Science › Remote Sensing and Land Use
- Keywords
- land surface temperature, spatiotemporal variation, land use and land cover change, urbanization, Akure, NDVI, built-up areas, land use conversion, urban heat, climate change, land use policy
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
