FIG Peer Review Journal


Mapping and Analysis of Landuse and Landcover for Sustainable Development Using High Resolution Satellite Images and GIS Technique (6421)

Innocent C. Ezeomedo and Joel Igbokwe (Nigeria)
Mr. Innocent C. Ezeomedo
University Lecturer
Anambra State University
Uli, Nigeria
Physical Planning Unit
Anambra State University
Corresponding author Mr. Innocent C. Ezeomedo (email: inno_chuks2003[at], tel.: +234803844882)

[ abstract ] [ paper ] [ handouts ]

Published on the web 2013-03-08
Received 2012-10-21 / Accepted 2013-02-02
This paper is one of selection of papers published for the FIG Working Week 2013 in Abuja, Nigeria and has undergone the FIG Peer Review Process.

FIG Working Week 2013
ISBN 978-87-92853-05-9 ISSN 2307-4086


The focus of this paper is to depict the quick and practical approach to mapping and analysis of Landuse and Landcover Patterns and changes using high resolution sattellite images. The study was carried out in Onitsha Urban and its environs in Southeastern Nigeria. For this purpose, multitemporal data consisting of existing Topographic Map, SPOT-5 and IKONOS images were processed using spatial analysis tools of resampling, georeferencing, classification and post- classification overlay, to map the patterns and extents of landuse and landcover in the Study area as well as determine the magnitude of changes between the years of interest 1964, 2005 and 2008 respectively. The result of the study shows that the Built-Up areas have been on a constant positive and mostly uncontrolled expansion from 8.12% of the Study Area in 1964 to 41.64% in 2005 and to 67.62% in 2008.on the other hand Vegetation, including cultivated and uncultivated agricultural lands have been on a steady decline, from 79.10% in 1964 to 51.78% in 2005 and a mere 18.74% in 2008. The study recommended that the Government and public Agencies concerned should develop policies and strategies to achieve a balanced, coordinated and sustainable development in the Urban Area and its environs.
Keywords: Geoinformation/GI; Remote sensing; Land management; Land distribution; Spatial planning; Landus; Landcover; Change Analysis