DETECTION AND ANALYSIS OF SPATIOTEMPORAL LANDUSE PATTERN FOR PROPOSED AKURE MILLENNIUM CITY

Ogunlade, S.O. and Oyewole, A.M. (2018) DETECTION AND ANALYSIS OF SPATIOTEMPORAL LANDUSE PATTERN FOR PROPOSED AKURE MILLENNIUM CITY. In: 13th UNILAG Annual Research Conference & Fair, 28TH -30TH August 2018, Jelili Omotola Halls, University Of Lagos, Lagos.

[img] Text
OYEWOLE ADEDAYO paper 2.pdf

Download (292kB)

Abstract

The importance of landuse pattern in actualising and sustaining future cities in the ever dynamic environment cannot be overemphasised. Two very high resolution satellite images (Ikonos-0.8mand Quickbirds-0.6m)of Akure for the year 2006 and 2016 respectively acquired, process and subjected to segmentation algorithm of object oriented image analysis (OBIA) using the Cognition developer 64- 9.01 software. The segmentation result was exported to ArcGIS 10.3 software environment where each segments were assigned landuse types, using visual interpretation techniques. Eight landuse classes were extracted for the two years. The landuse classification was generated in maps. An accuracy assessment performed on the maps was 93.07% and 87.73% respectively. The result of the analysis showed that the 201.76km2 total area mapped in 2006 has increased to 200.69 km2 in 2016, open landuse had the highest coverage in 2006, followed by the residential landuse but in 2016 the reverse was the case. The study observed significant change in the landuse types as the open-space landuse and residential landuse type were the dominant landuse types in the study period while Commercial, Community & Public Institutions, Educational, Industrial and Recreational landuses were not too different in their use in the study period. The study recommended a close watch on unguided expansion and uncontrolled urbanisation which may defeat the actualisation and sustenance of the proposed millennial city in Akure.

Item Type: Conference or Workshop Item (Paper)
Subjects: G Geography. Anthropology. Recreation > GE Environmental Sciences
H Social Sciences > HD Industries. Land use. Labor
Divisions: Faculty of Engineering, Science and Mathematics > School of Civil Engineering and the Environment
Depositing User: Mr Daniel Kumoye
Date Deposited: 22 Jun 2020 15:05
Last Modified: 22 Jun 2020 15:05
URI: http://eprints.federalpolyilaro.edu.ng/id/eprint/725

Actions (login required)

View Item View Item