Analysis of Land Use and Land Cover Changes in Urban Areas Using Remote Sensing: Case of Blantyre City

Gondwe, Jane Ferah; Sun, Li; Munthali, Rodger Millar

doi:10.1155/2021/8011565

Cited by 30 publications

(15 citation statements)

References 52 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The connection between people and the environment has been blamed for these changes. Planning for sustainable development requires awareness of LULC, its severity, causes, and implications (Gondwe et al, 2021). The subject of global change has gained attention from scientists, geographers, and international leaders and has become a hot topic.…”

Section: Literature Reviewmentioning

confidence: 99%

Analysis of Trends in Land Utilization and Land Cover Dynamics in the Kwahu West Municipality, Ghana

Aninakwah,

Adu- Boahen,

Edoh

et al. 2024

jag

View full text Add to dashboard Cite

The connection between people and the environment has been blamed for changes. Planning for sustainable development requires awareness of land use and land cover (LULC), its severity, causes, and implications. The purpose of this study was to generate maps that illustrate the land use and land cover within the Kwahu West Municipality and detect changes to identify and analyse overall patterns in LULC changes in the area. This research employed remote sensing techniques to assess land use and land cover alterations (LULC). This study used Landsat 7 Enhanced Thematic Mapper (ETM+) images from 2001, Landsat 8 Operational Land Imager (OLI) and Thermal Infrared Sensor (TIRS) images from 2015, and Landsat 8 Operational Land Imager (OLI) and Thermal Infrared Sensor (TIRS) images from 2023 to detect and quantify LULC changes that occurred over a 22-year study period. Arc GIS 10.8 and ERDAS Envision 13 were used to pre-process the data. According to the study, built-up land and bare land rose in their respective areas and years by 10.675 km2 (or 2%), 18.421 km2 (or 5%), and 29.096 km (or 7%), respectively, between 2001 and 2015 and 2015 and 2023. The overall change from 2001 to 2023 was correspondingly 29.096 km. The results depicted a drastic change in the study area's forest vegetation, which can be attributed to a sharp rise in population, urbanisation, and other infrastructure projects. These changes have been determined to cause biodiversity loss and water contamination. It is recommended that the Municipality's Lands Commission initiate a public education campaign about creating local planning schemes for lands, especially in undeveloped and underdeveloped areas.

show abstract

Section: Literature Reviewmentioning

confidence: 99%

Analysis of Trends in Land Utilization and Land Cover Dynamics in the Kwahu West Municipality, Ghana

Aninakwah,

Adu- Boahen,

Edoh

et al. 2024

jag

View full text Add to dashboard Cite

show abstract

“…In addition, Kappa coefficient measures accuracies between two random values and show reasonable accuracy. Kappa coefficient is regarded as a coefficient of agreement (Mukherjee & Singh 2020;Mishra & Jabin 2020;Gondwe et al 2021;Bunyangha et al 2021). The Kappa Coefficient was calculated using equation 3:…”

Section: Land Use Land Cover Classification (Lulc)mentioning

confidence: 99%

Index-Based Spatiotemporal Assesment Of Water Quality In Tarbela Reservoir, Pakistan (1990−2020)

Mazhar

Javid²,

Khan

et al. 2023

GES

View full text Add to dashboard Cite

Anthropogenic activities can greatly influence the lake ecosystems across the globe. Within these ecosystems, the impacts of human activities are most evident on sedimentation, light and nutrient availability, and disturbance frequency. There have been times of natural environmental healing of reservoirs and the present research aims to explore the variations in the water quality of Tarbela reservoir, Pakistan the largest rock-filled dam of the world, from 1990 to 2020. Landsat imagery (Landsat 4-5, 5, 7 and 8) was used to monitor Land Use Land Cover (LULC), Normalized Difference Chlorophyll Index (NDCI), Normalized Difference Turbidity Index (NDTI) and Normalized Difference Water Index (NDWI) in Tarbela reservoir, and its surrounding area from 1990−2020, on decadal interval. The results indicated a significant increase in built-up area, of about 630 km2 , in the western and eastern parts of the reservoir, whereas turbidity level, revealed a substantial decline with 4% decrease observed in the last decade, 2010-2020 thus confirming improved water quality. The study also presented expanse in the spatial coverage of chlorophyll index and water index, indicating increase in residence time of the water. It is concluded that the water quality continued to deteriorate with time, however, 2020 was a year of environmental healing and there was an overall water quality improvement of the reservoir observed. The study recommends policies to be formulated for sediment flushing and turbidity reduction for longer time duration to enhance the life of this mega reservoir.

show abstract

“…Apart from urbanization, the increased population has also been documented and evidenced as a major factor behind land use changes in urban areas (Gondwe et al, 2021). According to Fonji and Taff 2014;Baig et al (2022), land use changes are highly interconnected with population growth in an area.…”

Section: Introductionmentioning

confidence: 99%

Interrogating the Impact of Land Use/Land Cover Dynamics in Mbarara City in Southwestern Uganda

Nuwagira

Yasin

Nasasira

2023

East Afr. j. environ. nat. resour.

View full text Add to dashboard Cite

The urbanization in Mbarara City Southwestern Uganda has increased the number of built-up and small-scale agricultural areas thus escalating pressure on the grassland and woodlot areas hence influencing land fragmentation and slum development. In this study, we focused on land use/land cover dynamics. This helped us to identify land uses that reduce grassland areas, which increases land fragmentation, and slum development. Presumably, the land uses in the area included built-up areas, grassland, small-scale agriculture, and woodlots. Built-up, grassland, and small-scale agriculture were vital for our analysis. We employed remote sensing techniques (Supervised-Maximum Likelihood Classifier) with two cloud-free high-resolution images of 2010 and 2022 in mapping spatial-temporal patterns in built-up, grassland, and small-scale agriculture. Our results evidenced that built-up area increased by (5.14%), grassland declined by (7.1%), small-scale agriculture increased by (2.62%), and woodlots reduced by (0.73%) between 2010 to 2022 and the accuracy assessment for the image classification was (83%). Our study found that an increase in built-up areas and small-scale agriculture led to the decline of the grassland and woodlot areas between 2010 to 2022 with a statistically significant difference (p = 0.03). There was also a strong positive correlation (r = 0.97) between land use/land cover types in 2010 and 2022. Our study recommends that Mbarara City Authority should put strict laws and regulations governing the minimum size of land required during sub-division to avoid land fragmentation which results in increased slum development. Increased land fragmentation may have an intense impact on important ecosystems such as grasslands.

show abstract

Analysis of Land Use and Land Cover Changes in Urban Areas Using Remote Sensing: Case of Blantyre City

Cited by 30 publications

References 52 publications

Analysis of Trends in Land Utilization and Land Cover Dynamics in the Kwahu West Municipality, Ghana

Analysis of Trends in Land Utilization and Land Cover Dynamics in the Kwahu West Municipality, Ghana

Index-Based Spatiotemporal Assesment Of Water Quality In Tarbela Reservoir, Pakistan (1990−2020)

Interrogating the Impact of Land Use/Land Cover Dynamics in Mbarara City in Southwestern Uganda

Contact Info

Product

Resources

About