Mapping land use diversity in new GRA, Idah local government area, Kogi, State: Towards sustainable township development
Vol 6, Issue 2, 2023
VIEWS - 552 (Abstract) 375 (PDF)
Abstract
In light of swift urbanization and the lack of precise land use maps in urban regions, comprehending land use patterns becomes vital for efficient planning and promoting sustainable development. The objective of this study is to assess the land use pattern in order to catalyze sustainable township development in the study area. The procedure adopted involved acquiring the cadastral layout plan of the study area, scanning, and digitizing it. Additionally, satellite imagery of the area was obtained, and both the cadastral plan and satellite imagery were geo-referenced and digitized using ArcGIS 9.2 software. These processes resulted in reasonable accuracy, with a root mean square (RMS) error of 0.002 inches, surpassing the standard of 0.004 inches. The digitized cadastral plan and satellite imagery were overlaid to produce a layered digital map of the area. A social survey of the area was conducted to identify the specific use of individual plots. Furthermore, a relational database system was created in ArcCatalog to facilitate data management and querying. The research findings demonstrated the approach's effectiveness in enabling queries for the use of any particular plot, making it adaptable to a wide range of inquiries. Notably, the study revealed the diverse purposes for which different plots were utilized, including residential, commercial, educational, and lodging. An essential aspect of land use mapping is identifying areas prone to risks and hazards, such as rising sea levels, flooding, drought, and fire. The research contributes to sustainable township development by pinpointing these vulnerable zones and providing valuable insights for urban planning and risk mitigation strategies. This is a valuable resource for urban planners, policymakers, and stakeholders, enabling them to make informed decisions to optimize land use and promote sustainable development in the study area.
Keywords
Full Text:
PDFReferences
1. Clawson M. Land Use Information: A Critical Survey of Use Statistics Including Possibilities for Greater Uniformity, 1st ed. Johns Hopkins Press; 1965.
2. Mahmood R, Pielke RA, Hubbard KG, et al. Impact of land use/land cover change on climate and future research priorities. Bulletin of the American Meteorological Society 2010; 91(1): 37–46.
3. Herr AM, Queen LP. Crane habitat evaluation using GIS and remote sensing. Photogrammetric Engineering and Remote Sensing 1993; 59(10): 1531–1538.
4. Hepinstall JA, Sader SA. Using Bayesian statistics, thematic mapper satellite imagery, and breeding bird survey data to model bird species probability of occurrence in Maine. Photogrammetric Engineering and Remote Sensing 1997; 63(10): 1231–1237.
5. McCloy KR. Resource Management Information System: Process and Practice. Taylor & Francis Ltd; 1995.
6. Lillesand TM, Kiefer RM. Remote Sensing and Image Interpretation, 5th ed. Wiley; 2004
7. Hallett SH, Jones RJ, Keay CA. Environmental information systems developments for planning sustainable land use. International Journal of Geographical Information Science 1996; 10(1), 47–64.
8. Yeh AGO, Li X. Urban growth management in the Pearl river delta: An integrated remote sensing and GIS approach. ITC Journal 1996; 1: 77–85.
9. Bourlière F. Dasman, RF—Wildlife Biology. Willey; 1964. pp. 299–300.
10. Edwards RY, Fowle CD. The concept of carrying capacity. In: Trefethen JB (editor). Transactions of the 20th North American Wildlife Conference. Wildlife Management Institute; 1955. pp. 589–602
11. U.S Department of Housing and Urban Development US. DOD HUD. Carrying capacity action research: A case study in selective growth (OAHU, HAWAII, final report). Available online: https://linspringer.com>chapter. (accessed on 1 June 2023).
12. Markandya A, Richardson J. The Economics of the Environment: An Introduction in Environmental Economics. Earth Scan; 1992. pp. 7–15.
13. Son TH, Weedon Z, Yigitcanlar T, et al. Algorithmic urban planning for smart and sustainable development: Systematic review of the literature. Available online: https:/www.researchgate.net>369644007_Algorithmic_rban_planning_for_smart_cities (accessed on 11 June 2023).
14. Dale PF, McLaughlin JD. Land Information Management: An Introduction with Special Reference to Cadastral Problems in Third World Countries. Oxford University Press; 1988.
15. United Nations Food and Agriculture Organization. Land and water division report. Available online: https://www.ao.org>land-water (accessed on 14 June 2023).
16. U.S. Geological Survey. Geological survey research 1976. professional paper. Available online: https://doi.org/10.3133/pp1000 (accessed on 14 June 2023).
17. Stamp LD. The land of Britain: Its use and misuse. Available online: https://www.abebooks.co.>author. (accessed on 12 June 2023).
18. Coleman A. Land utilisation survey of Britain. Available online: en.wikipedia.org/wiki/land utilisation (accessed on 15 June 2023).
19. A land use and land cover classification system for use with remote sensor data. Available online: https://pubs.usgs.gov/pp/0964/report.pdf (accessed on 15 June 2023).
20. National Population Commission Enumeration Area Demarcation in Lokoja Seeks Stakeholders’ Cooperation. Available online: https//ogireports.com//npc-commences-enmeration-area-demarcation-in-looa-seesst (accessed on 13 June 2023).
DOI: https://doi.org/10.24294/jgc.v6i2.2495
Refbacks
- There are currently no refbacks.
Copyright (c) 2023 Abubakar Ejiga, O.S Sani, Francis Okeke
License URL: https://creativecommons.org/licenses/by-nc/4.0/
This site is licensed under a Creative Commons Attribution 4.0 International License.