Assessing urban growth in Ghana using machine learning and intensity analysis: A case study of the New Juaben Municipality

Nyamekye, Clement; Kwofie, Samuel K.; Ghansah, Benjamin; Agyapong, Emmanuel; Boamah, Linda Appiah

doi:10.1016/j.landusepol.2020.105057

Cited by 29 publications

(11 citation statements)

References 46 publications

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“…Urbanization and related anthropogenic activities are causing myriad environmental changes (Grimmond, 2007;Imhoff et al, 2010;Gusso et al, 2014;Nyamekye et al, 2020). Among the changes are land use and land cover (LULC) transformations that alter the near-surface thermal characteristics (e.g., Mbithi et al, 2010;Amiri et al, 2009;Uddin et al, 2010;Nurwanda and Honjo, 2020).…”

Section: Introductionmentioning

confidence: 99%

Understanding Growth-Induced Trends in Local Climate Zones, Land Surface Temperature, and Extreme Temperature Events in a Rapidly Growing City: A Case of Bulawayo Metropolitan City in Zimbabwe

Mushore

Mutanga

Odindi

2022

Front. Environ. Sci.

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Assessment of the responses of the urban thermal environment to climate is important, especially because of their possible influence on low- and high-temperature extreme events. This study assessed the combination of remotely sensed land surface temperature (LST) and local climate zones (LCZs) with in situ air temperature-retrieved extreme temperature indices. It aimed to assess the effect of urban growth on the three-dimensional thermal environment in the Bulawayo metropolitan area, Zimbabwe. LST and LCZ were derived from the Landsat data for 1990, 2005, and 2020, while extreme temperature indices and trends were derived from daily minimum and maximum temperature data from a local weather station. Results showed that the built LCZ expanded at the expense of vegetation-based LCZ. Average LST for each LCZ increased from 1990 to 2020, which was attributed to background warming, while the expansion of high LST areas was associated with LCZ transitions. Although average minimum temperature decreased, cool nights increased, warmest nights remained unchanged, and the lowest minimum increased, the highest minimum temperatures decreased, but the trends were not statistically significant (p > 0.05). Indices of daytime warming showed significant changes, which includes an increase in average maximum temperature (p = 0.002), increase in lowest maximum temperature (p = 0), increase in the number of very warm days (p = 0.004), and decrease in the number of cool days (p = 0). The significant increase in daytime extremes was attributed to an increase in highly absorbing LCZ and daytime pollution due to industrial activities. The study also concluded that development in water areas or siltation of water bodies has a greater warming effect than other LCZ changes. The findings show that development needs to consider potential effects on the thermal environment and temperature extremes.

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Section: Introductionmentioning

confidence: 99%

Understanding Growth-Induced Trends in Local Climate Zones, Land Surface Temperature, and Extreme Temperature Events in a Rapidly Growing City: A Case of Bulawayo Metropolitan City in Zimbabwe

Mushore

Mutanga

Odindi

2022

Front. Environ. Sci.

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“…At a smaller spatial scale or with a shorter research time, relatively stable natural factors are the main constraints, especially for land use in the rural-urban fringe, while humanistic factors with more frequent changes were the main driving force [28]. Population, economic development, the industrial structure, and other factors were shown to have important impacts on land use changes [29].…”

Section: Driving Factors Of Land Use Changementioning

confidence: 99%

Land Use Change and Its Driving Factors in the Rural–Urban Fringe of Beijing: A Production–Living–Ecological Perspective

Chen

Zhang

Liang

et al. 2022

Land

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Production–Living–Ecological Space (PLES) is a useful tool to identify land use status patterns and optimize land resource allocation. In this study, the spatial econometric model was chosen to analyze the driving factors of land use change in Chaoyang District, part of the rural–urban fringe in Beijing, from the perspective of PLES evolution, from 2005 to 2020. The results showed the following: (1) Production Space (PS) to Living-Non-Farm Production Space (LNPS) has been the most significant conversion process of PLES since 2005, making LNPS the PLES type with the highest proportion in the study area. (2) With the spatial order from near-to-far from the city center, the scale of PS was reduced and concentrated, Ecological Space (ES) was formed in a green belt at the periphery of Beijing, Eco-Agricultural Production Space (EAPS) and Living-Agricultural Production Space were rapidly reduced, and LNPS was rapidly expanded in the point-line-plane order. (3) The PS to LNPS conversion was mainly driven by economic development and industrial structure upgrades, while the PS to ES conversion was mainly due to the distribution of population density and also industrial structures. The conversion of EAPS to LNPS was driven by the increase of the urbanization rate and economic growth. This study confirmed the policy-driven effect of the conversion from PS to ES. Due to the “Concentric Circle” spatial structure of Beijing, the conversion of PLES is generally related to the distance from the city center.

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“…Second, it can more intuitively reflect the information on land use change [40]. At present, this method has achieved fruitful results in land use change [41,42], urban expansion [43], grassland desertification [44], and regional comparison [45,46]. However, in most of the LULC studies that have used the Intensity Analysis, there have been few studies on the economic benefits arising from LULC in conjunction with ESV.…”

Section: Introductionmentioning

confidence: 99%

Effects of Land Use Changes on Ecosystem Service Value in Xiangjiang River Basin, China

Quan

Deng

2023

Sustainability

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The study of land use change and the evolution of ecosystem service values (ESV) is important for optimizing the allocation of regional land resources and achieving sustainable development, but traditional land use analysis methods cannot dig deeper into the information on the internal transitions between different land types. Therefore, in this paper, we use the component analysis and Intensity Analysis methods to systematically analyze the land use landscape changes at multiple levels. In addition, the spatial and temporal dynamic characteristics of ESV in the Xiangjiang River Basin are carved with the help of equivalence factors and GIS spatial analysis methods, which reveal the response of ESV changes to land use changes in the Xiangjiang River Basin in the past four decades. Our results showed that, (1) in the past 40 years, the intensity of land use change in the Xiangjiang River Basin has been increasing, mainly in quantity and shift. The increase of built-up and bare land and the decrease of cultivated land are stable and active, and the loss of forest land is large, but it is dormant. The loss of cultivated and forested land flows mainly to built-up land. (2) In the Xiangjiang River Basin, ESV increases first and then decreases, mainly in the middle and high grades and changes faster in the east. (3) The cross-sensitivity coefficient reflected that the net conversion of cultivated land to forest land and water area had a promoting effect on ESV. Our results provide important knowledge to inform land use decisions and facilitate sustainable development in the Xiangjiang River Basin.

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Assessing urban growth in Ghana using machine learning and intensity analysis: A case study of the New Juaben Municipality

Cited by 29 publications

References 46 publications

Understanding Growth-Induced Trends in Local Climate Zones, Land Surface Temperature, and Extreme Temperature Events in a Rapidly Growing City: A Case of Bulawayo Metropolitan City in Zimbabwe

Understanding Growth-Induced Trends in Local Climate Zones, Land Surface Temperature, and Extreme Temperature Events in a Rapidly Growing City: A Case of Bulawayo Metropolitan City in Zimbabwe

Land Use Change and Its Driving Factors in the Rural–Urban Fringe of Beijing: A Production–Living–Ecological Perspective

Effects of Land Use Changes on Ecosystem Service Value in Xiangjiang River Basin, China

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