Analysis of Settlement Expansion and Urban Growth Modelling Using Geoinformation for Assessing Potential Impacts of Urbanization on Climate in Abuja City, Nigeria (original) (raw)

Spatial analysis of urban expansion, land-use dynamics and its effects on land surface temperature in Oyo town, Southwestern Nigeria

City and Built Environment

This paper assessed the expansion of land use and land cover that occurred in Oyo State, Southwestern Nigeria, over a period of thirty-year. This was to assess urban expansion, landuse dynamics and their effects on land surface temperature in the area. The study used four multi-date imageries of the area. Landsat 7 ETM + , 1990, 2000, 2012, and Landsat 8 OLI/TIR, 2021 were collected from the United States Geological Survey (USGS) website were used. The ArcGIS 10.1 environment was utilised to clip the area of interest, and ERDAS Imagine remote sensing software was employed to efficiently improve and categorise the images. The images were then divided into five major: cultivation, built-up area, vegetation, water body, and bare soil using a maximum likelihood supervised classification algorithm. These categories were then utilised to conduct time series analysis or change detection analysis.Results of this study revealed that the built-up area has changed over the preceding three deca...

Geospatial Assessment of Urban Expansion and Land Surface Temperature in Akure, Nigeria

This study employs the use of geo-spatial techniques with survey to identify various transformations in land use land cover types and their corresponding land surface temperature (LST) between a 20-year time intervals in Akure, Nigeria. The analysis was done using available Landsat TM and ETM+ satellite data for 1986, 2002 and 2006. The variability of the LST has been investigated with respect to different land use / land cover types that were determined from the Visible and Near Infrared (NIR) channels. Also, the emissivity per pixel is retrieved directly from satellite data and estimated as narrow band emissivity at the satellite sensor in order to have the least error in the surface temperature estimation. The study revealed that the built up area has expanded from 17.88% of the total land area of Akure in 1986 to 27.02% in 2006 with a corresponding increase of 9.9 °C in LST, indicating an average annual increase of 0.5 oC. The vegetation cover has reduced from 47.23% to 37.79% with an increase of 2.79 °C in temperature. A very strong correlation between the LST and the NDVI has also been established. The implication of the uncontrolled unprecedented expansion in the city may exacerbate environmental and ecological problems such as the Urban Heat Island if not properly ameliorated. This study actually exploits the possibility of using Remote Sensing and Geographic information systems (GIS) in the drive towards achieving sustainable urban environment in terms of planning, policy and decision making.

Scope of Modeling for Urban Land-Use Leading to Climate Change

Climate has a direct effect on the way we live, work and recreate now and in the future. It is inextricably linked to urbanization, and its impacts can be seen everywhere, with major and visible impact in low-lying and delta areas. There exist evidence that climate change will increase the prevalence of certain natural hazards, including extreme weather events. Climate change impacts affect all countries, with developing countries and the poor being the most vulnerable. An urban area has land uses defined as residential, commercial, institutional, public spaces, open and recreational spaces, transportation and infrastructure. In some cities, industrial land use is also identified. These urban spaces act as the largest contributor to economic activities. As the urban areas can be a victim of the ill-effects arising from climate change can hamper the development at large. Rising population and densification of urban areas that too with expanding spatial horizons, the urbanization posi...

Impact of urbanization and land cover change on urban climate: Case study of Nigeria

Urban Climate, 2020

coupled with meteorological data were used to study the LST. The maximum likelihood classifier was employed to classify the satellite data. Less built-up expansion from 2003 to 2008 compared to 2008-2015 was observed. The validation was performed with the available meteorological data of the stations. The rapid population growth is attributed to expansion of the built-up area and migration of rural people to search employment opportunities and good life. The increase in vegetation cover was witnessed in Potiskum and Environs, hence it has some impact on LST. The LST in the urban area showed low value due to afforestation and adoption of good policies to combat with rise in temperature in urban areas. Therefore, the LST classes of 30°C-40°C and > 40°C showed decrease of area covered from 2003 to 2015. The result shows that in 2003, 34.23°C of LST was observed while 35.29°C and 35.60°C of LST values were also observed in 2008 & 2015, respectively.

Thirty Years of Land Use/Land Cover Changes and Their Impact on Urban Climate: A Study of Kano Metropolis, Nigeria

Land, 2021

Rapid urban expansion and the alteration of global land use/land cover (LULC) patterns have contributed substantially to the modification of urban climate, due to variations in Land Surface Temperature (LST). In this study, the LULC change dynamics of Kano metropolis, Nigeria, were analysed over the last three decades, i.e., 1990–2020, using multispectral satellite data to understand the impact of urbanization on LST in the study area. The Maximum Likelihood classification method and the Mono-window algorithm were utilised in classifying land uses and retrieving LST data. Spectral indices comprising the Normalized Difference Vegetation Index (NDVI) and Normalized Difference Built-up Index (NDBI) were also computed. A linear regression analysis was employed in order to examine the correlation between land surface temperature and the various spectral indices. The results indicate significant LULC changes and urban expansion of 152.55 sq. km from 1991 to 2020. During the study period, ...

Geospatial Dimensions of Land Cover Transitions and Land Surface Temperature in Abuja City, Nigeria

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences

Urbanization is often accompanied by succession of underlying land cover with impervious surfaces. Built intensification significantly alters the surface energy budget making cities warmer than their outlying suburbs, which signifies an ecological deterioration. Landsat imageries with scene covering Abuja city is processed using Google Earth Engine platform to estimate land cover and land surface temperature over the span of 30 years (1990-2020). Dimensions of land cover transitions were examined in-terms losses, gains, swaps, net-change and persistency. Thermal signature of each land cover type was estimated using land surface temperature. Urban thermal field variance index is computed from land surface temperature to evaluate the thermal conditions in the city. Results indicate that netchanges for built-up exhibited gains of 40% while agricultural land, bare-land and vegetation exhibited loss of 27%, 7% and 8% respectively. Built-up also showed the highest proportion of persistence (12%). Results shows that land surface temperature has increased by 2.01°C from 1990 to 2020. Agricultural land, bare-land and built-up were found with the highest temperature. Lowest temperature was found in waterbody and vegetation. The ecological evaluation showed that 47% of the city is experiencing bad to worst thermal condition. These findings provide further information that can contribute towards an informed spatial planning in cities.

Framework for Assessing the Impacts of Climate Change on Urban Agglomerations: A GIS and Remote Sensing Perspective

IntechOpen eBooks, 2024

As the specter of climate change looms over urban agglomerations, this concept chapter delves into the transformative potential of GIS and Remote Sensing techniques in dissecting and mitigating its impacts. By intricately analyzing land-cover and surface temperature data, we unveil the nuanced effects of climate change on land surface temperature (LST) across varied land-cover types. Leveraging the expansive spatial coverage of remote sensing data, especially satellite images, we can meticulously monitor urban structures, offering invaluable insights into impervious surfaces and vegetated areas. This trove of information not only enlightens the current state and evolution of urban structures but also becomes the bedrock for effective urban planning strategies and climate change adaptation measures. In tandem, the amalgamation of remote sensing with GIS techniques facilitates a granular exploration of the intra-urban thermal environment and the intricate spatial links between urban vulnerability and characteristics. By delving into these insights, GIS and remote sensing emerge as indispensable allies in the quantification and monitoring of climate change impacts on urban agglomerations, guiding decisive measures for sustainable urban development and climate adaptation.

Geospatial Assessment of Urban Development on Land Surface Temperature in Abuja, Nigeria

Zenodo (CERN European Organization for Nuclear Research), 2022

This dissertation investigates assessment development in urban on land surface temperature using geospatial technique with land use land cover and variation between 1986 and 2016. The aim of this study is to examine the effect of urbanization on land surface temperature using GIS and Remote Sensing technique. Satellite images used for this dissertation were Thematic Mapper ™ acquired on 1986, Enhance Thematic Mapper plus (ETM+) acquired on 2001 and Operational Land Imager (OLI) acquired on 2016. All satellite data have 30-meter resolutions, Thematic Mapper and Enhance Thematic Mapper plus images have spectral range of 0.45 to 2.35 micro meters (µm) with 8 bands, while the Operational Land Imager extends to band 12. The images were used to produce land use/land cover map of Abuja Municipal Area Council (AMAC) for effective analysis of land surface temperature for three epochs to know the feature contributes most to surface temperature and changes over time. Results of land use/land cover shown that there is significant increment of Built-up from 36.74 per square kilometer to 283.7 per square kilometer between 1986 and 2016, water body from 1.21 to 1.32 per square kilometer and bare surface from 571.5 to 607.5 per square kilometer. There is also sharp decrement in vegetation from 714.4 to 452.34 per square kilometer and rock outcrop from 132.52 to 111.48 between 1986 and 2016. There is little rise in surface temperature from 1986 to 2016. Temperature rise from 15 to 26 degree Celsius (0C), built up, contributed most to surface temperature.

Land use/land cover change and land surface temperature of Ibadan and environs, Nigeria

Environmental Monitoring and Assessment, 2020

Rapid urbanization is having a considerable impact on various aspects of living, thereby altering the biophysical environment. This study adopted the use of remote sensing technique and geographical information system (GIS) to analyse the relationship between changing land use/land cover and land surface temperature in a rapidly urbanizing tropical city of Ibadan between 1984 and 2019. Landsat series TM, ETM+, and OLI satellite imageries of Ibadan region city for 1984, 2002, and 2019, respectively, were obtained from the US Geological Survey (USGS) Landsat series of Earth Observation satellites accessible on the Google earth engine (GEE) platform. Supervised classification was done using a random forest (RF) machine learning classifier in the GEE platform. Surface emissivity maps were obtained from the normalized difference vegetation index (NDVI) thresholds method and land cover information. The surface emissivity based on NDVI classes was used to retrieve land surface temperature (LST). The results showed an increase in urban cover from 341.72 km 2 in 1984 to 520.58 km 2 in 2019 with an average increase in land surface temperature from 17°C to 38°C, respectively. Temperature sampling in the north-south and west-east transect revealed that highly urbanized areas located at the city centre of Ibadan have the highest LST of about 38°C. It dissipates to about 19°C at the suburb that is less built up. A significant negative relationship exists between the health condition of vegetation (NDVI) and LST with a correlation coefficient of r = − 0.95. The study confirms the potential application of GIS and remote sensing for detecting urban growth as well as relates growth impact to LST, thereby suggesting that fitting strategies will be important for the sustainable management of the urban areas. Keywords Land surface temperature. Land use/land cover. Urban heat island. NDVI. Random forest. Google earth engine

Satellite and ground-based microclimate and hydrologic analyses coupled with a regional urban growth model

2003

Urban development is shown to induce predictable changes in satellite-based measures of radiant surface temperature and evapotranspiration fraction-as long as certain features of the development are known. Specifically, the vegetation changes that accompany the development and the initial climatic state of the land parcel must be noted. Techniques are also developed for quantifying the effects of urbanization on the surface hydrology at a watershed scale. Streamflow and precipitation data are related graphically in order to determine a watershed's general ratio of stormwater runoff to rainfall, along with any changes in the ratio over time. Four distinct runoff responses, separated by season and antecedent moisture conditions, are distinguishable for a particular basin, with the response during the non-summer months under typical antecedent moisture conditions the most representative of and responsive to land-use patterns. This particular runoff response can be estimated from satellite-derived land cover patterns and certain physical attributes of a basin. These satellite-based microclimate and hydrologic analyses are coupled with an existing urban growth model (SLEUTH). The SLEUTH urban growth model simulates future development scenarios for a region of interest. The resulting changes in urban land use lead to the evolution of site-specific climate and hydrology based on the scheme that is presented in this paper. This study, as well as related tools and bodies of knowledge, can be used to broaden the scientific basis behind land-use management decisions. D