Iheaturu, Chima; Okolie, Chukwuma; Ayodele, Emmanuel; Egogo-Stanley, Andy; Musa, Solomon; Ifejika Speranza, Chinwe (2023). Dataset of urban development analysis in a section of Kuje Area Council, Abuja, Nigeria. Data in brief, 46(108777), p. 108777. Elsevier 10.1016/j.dib.2022.108777
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Urban development will likely continue to increase in suburban areas to cater for the growing human population. In Nigeria, the relevant analysis of these urban developments is not well documented. This article presents spatiotemporal datasets for analysing urban developments in a suburb of Kuje, an Area Council within the Federal Capital Territory of Nigeria. Data from Google Earth (GE) historical imagery of 2005 was used as a baseline for analysis and was compared with a UAV digital orthomosaic of 2019 to quantify urban developments. This data provides useful information on the status of urban development that has taken place in the Kuje suburb over 14 years. The data will be of great importance to town planners and urban development authorities for future planning, and for making informed decisions about urban development issues in the area.
Item Type: |
Journal Article (Original Article) |
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Division/Institute: |
08 Faculty of Science > Institute of Geography ?? 49FE195399EA40979FBC2E312E8A0891 ?? 08 Faculty of Science > Institute of Geography > Geographies of Sustainability > Unit Land Systems and Sustainable Land Management (LS-SLM) 08 Faculty of Science > Institute of Geography > Geographies of Sustainability |
UniBE Contributor: |
Iheaturu, Chima Jude, Ifejika Speranza, Chinwe |
Subjects: |
900 History > 910 Geography & travel |
ISSN: |
2352-3409 |
Publisher: |
Elsevier |
Language: |
English |
Submitter: |
Pubmed Import |
Date Deposited: |
12 Dec 2022 09:05 |
Last Modified: |
23 Feb 2024 12:19 |
Publisher DOI: |
10.1016/j.dib.2022.108777 |
PubMed ID: |
36478683 |
Uncontrolled Keywords: |
Change detection analysis Digital map creation Geospatial methods Google earth historical imagery Parsimonious land use SfM photogrammetry |
BORIS DOI: |
10.48350/175654 |
URI: |
https://boris.unibe.ch/id/eprint/175654 |
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