Attributes of Topographic Mapping of a Fast Urbanising Area in Nigeria, Using Remote Sensing and GIS
Olarewaju O. Ifatimehin, Fanan Ujoh, Patrick S. U. Eneche
Journal of Scientific Research and Reports · pp. 170–184 · Published 9 Oct 2013
10.9734/JSRR/2014/3999Abstract
Aims: To produce an updated 1:25,000 topographic map of Anyigba through the application of geospatial technologies – GIS techniques, Remote Sensing data, GPS and other ancillary hardware and software. Study Design: Application of satellite imageries and GIS software for the production of updated topographic map of Anyigba Town in Nigeria. Place and Duration of Study: GIS Laboratory, Department of Geography and Planning, Kogi State University, Anyigba, Nigeria, between April and July 2012. Methodology: Satellite image processing, classification and vectorization, visually-aided interpretation, digitization and geocoding of features, using ArcGIS 9.2, ILWIS 3.3 Academia, AutoCAD 2010 and Microsoft Excel 2010 software. Results: Topographic map created through the integration of point map, contour line map, land use classification map, planimetric map, digital elevation model (DEM) and digital terrain model (DTM). The built-up area has grown in an omni-directional pattern, annexing most surrounding villages. It was discovered that Anyigba is characterized by a gentle undulating landscape architecture, with some areas of marked elevation and depression as against what was reflected in the old toposheets (248 NW and 268 SW) produced in 1973. The DEM and DTM generated from the 1973 toposheets and the satellite imageries of 2001, 2005 and 2008 showed that changes in the topography is a direct result of unplanned expansion of the built-up area. Conclusion: The method is considered relatively cheaper and time-effective for updating topographic maps in Developing Countries where resources are scarce. The study suggests periodic research to update the topographic map of Anyigba as part of contributions towards building the much required National Elevation Dataset (NED) and Geospatial Data Infrastructure (GDI) in Nigeria for updating environmental planning and management.
Cited by 7
Nnamdi Ifeanyi Maduekwe · KN - Journal of Cartography and Geographic Information · 2021
Ibrahim Abdulsaad, Sani Tenimu, Folake Adegoke · American Journal of Artificial Intelligence · 2025
Showing 2 of 7 known citations — external sources report more than can currently be individually listed.
Related research
- Phytochemical and Nutraceutical Potentials of Beach Bean (Canavalia rosea SW.) DC Grown in Anyigba, Kogi State, Nigeria — shares topic coverage
- Mycoflora and Moisture Content of Garri Sold in Anyigba, Kogi State — shares topic coverage
- Cesearean Section Rate and Acceptance of Cesarean Section among Antenatal Clinic Attendees at the Kogi State University Teaching Hospital, Anyigba, North Central Nigeria — shares topic coverage
- A Self-report Oriented Toward Visuoperceptive and Visuomotor Alterations for the Early Identification of Dyslexic Children — shares topic coverage
- Developing GIS-Based Soil Erosion Map Using RUSLE of Andit Tid Watershed, Central Highlands of Ethiopia — shares topic coverage
Article metrics
Real usage data collected on this platform.
34
Page views
0
PDF downloads
4
Outbound clicks
7
Citations
Views over time
Views by country
Approximate, from request IP at view time — not citizenship or institution. Countries with fewer than 5 views are grouped as "Other".
Traffic sources
Referring site, by host.
Views and downloads exclude known bots/crawlers. Citations combines this platform's own DOI-resolved index with each external source's own reported total — see Cited by above for individually listed citing works. Last refreshed 0 seconds ago.