1. Sub Urban Growth Detection Around University Campuses
Using Federal University of Technology, Akure as a case study
with the aid of GIS and Remote Sensing Techniques
TOPIC
Sub Urban Growth Detection Around University Campuses
Using Federal University of Technology, Akure as a case study
with the aid of GIS and Remote Sensing Techniques
By
IGBILOBA OLUMIDE E.
Supervisor
DR. OYINLOYE M.A.
FEB. 2014
Igbiloba O. Enoch (URP/08/4352) Supervisor: Dr. Oyinloye M.A.

2. Sub Urban Growth Detection Around University Campuses
Using Federal University of Technology, Akure as a case study
with the aid of GIS and Remote Sensing Techniques
Methodology
Igbiloba O. Enoch (URP/08/4352) Supervisor: Dr. Oyinloye M.A.
DATA
AQUISITION
• Land SAT TM 1986
• Land SAT ETM + 2002
• Land SAT ETM + 2013
• SOCIO-ECONOMIC RECORDS
• Student Enrolments by Level, Gender for
1987/1988,2002/2003and 2012/2013
Academic Records
IMAGE PRE-
PROCESSING
• Land SAT Image Clip
• Spatial Filtering
• Image Composite
CLASSIFICATION
SUPERVISED
CLASSIFICATION
• MAXIMUM LIKELIHOOD CLASSIFICATION
• RECLASSFICATIO
IMAGE
DIFFERENCING
POST CLASSFICATION
IMAGE DIFFERENCING
• 1986 & 2002
• 2002 & 2013
ACCURA
CY
ASSESS
MENT
Kappa Cohen’s
Coeffient

3. Sub Urban Growth Detection Around University Campuses
Using Federal University of Technology, Akure as a case study
with the aid of GIS and Remote Sensing Techniques
Objectives
Igbiloba O. Enoch (URP/08/4352)
1. Spatially map out the sub-urban area using remotely sensed data and GIS
techniques;
2. Identification of various land cover and land use classes in remotely sensed
data sources of the sub-urban;
3. Analyze the acquired remotely sensed imageries of the study area so as to
establish the rate and trend of growth of the sub-urban in relation to the
physical and demographic growth of the campus;
4. Calculation and quantification of the basic land use and cover data in the
sub-urban area in relation to the population growth of the university
campus from 1986, 2002 and to 2013;
Supervisor: Dr. Oyinloye M.A.

4. Sub Urban Growth Detection Around University Campuses
Using Federal University of Technology, Akure as a case study
with the aid of GIS and Remote Sensing Techniques
Objective 1: Spatially map out the sub-urban area using
remotely sensed data and GIS techniques
Igbiloba O. Enoch (URP/08/4352) Supervisor: Dr. Oyinloye M.A.

5. Sub Urban Growth Detection Around University Campuses
Using Federal University of Technology, Akure as a case study
with the aid of GIS and Remote Sensing Techniques
Objective 1: Spatially map out the sub-urban area using
remotely sensed data and GIS techniques (cont’d)
Igbiloba O. Enoch (URP/08/4352) Supervisor: Dr. Oyinloye M.A.

6. Sub Urban Growth Detection Around University Campuses
Using Federal University of Technology, Akure as a case study
with the aid of GIS and Remote Sensing Techniques
Objective II: Identification of various land cover and land use classes in remotely
sensed data sources of the sub-urban
Igbiloba O. Enoch (URP/08/4352) Supervisor: Dr. Oyinloye M.A.
GALLERY/ HIGH
FOREST
BUILT UP
AREA
VEGETATION BARELANDS

7. Sub Urban Growth Detection Around University Campuses
Using Federal University of Technology, Akure as a case study
with the aid of GIS and Remote Sensing Techniques
Objective III: Analyze the acquired remotely sensed imageries of the study area …
Igbiloba O. Enoch (URP/08/4352) Supervisor: Dr. Oyinloye M.A.
(a) (b)
(c)Supervised
Classification of:
(a) Land SAT TM
1986
(b) Land SAT ETM+
2002
(c) Land SAT ETM+
2013
1986 2002
2013

8. Sub Urban Growth Detection Around University Campuses
Using Federal University of Technology, Akure as a case study
with the aid of GIS and Remote Sensing Techniques
Objective III: Analyze the acquired remotely sensed imageries of the study area
… (cont’d)
Igbiloba O. Enoch (URP/08/4352) Supervisor: Dr. Oyinloye M.A.
11
-21
3
7
0 -20 -10 0 10 20
Built Up Area
Gallery /High Forest
Vegetation
Bareland
Percentage
9
-7
1
-3
-10 -5 0 5 10 15
Built Up Area
Gallery /High Forest
Vegetation
Bareland
Percentage
1986-2002 2002-2013

9. Sub Urban Growth Detection Around University Campuses
Using Federal University of Technology, Akure as a case study
with the aid of GIS and Remote Sensing Techniques
Objective III: Analyze the acquired remotely sensed imageries of the study area so as
to establish the rate and trend of growth of the sub-urban in relation to
the physical and demographic growth of the campus;
Igbiloba O. Enoch (URP/08/4352) Supervisor: Dr. Oyinloye M.A.
0
5
10
15
20
25
30
35
40
45
50
1986 2002 2013 1986 2002 2013
FUTA CAMPUS SUBURB
Percentage%
Built Up Area
Gallery /High
Forest
Vegetation
Bareland

10. Sub Urban Growth Detection Around University Campuses
Using Federal University of Technology, Akure as a case study
with the aid of GIS and Remote Sensing Techniques
Objective IV: Calculation and quantification of the basic land use and cover data in the
sub-urban area in relation to the population growth of the university
campus from 1986, 2002 and to 2013;
Igbiloba O. Enoch (URP/08/4352) Supervisor: Dr. Oyinloye M.A.
Multiple Linear Regression Model
Population (FUTA) = -12912.739 + .250(bare land) + 1.568(vegetation) + 2.323(BUA)
YEAR POPULATION BARELANDS VEGETATION GALLERY FOREST BUA
1986 143 2824.35 15032.04 17554.29 5316.24
2002 11662 5731.82 16086.17 8946.98 9961.95
2013 20332 4537.46 16390.76 5975.59 13823.12
TOTAL 32,137 13093.63 sqkm 47508.97 sqkm 32476.86 sqkm 29101.31sqkm

11. Sub Urban Growth Detection Around University Campuses
Using Federal University of Technology, Akure as a case study
with the aid of GIS and Remote Sensing Techniques
CONCLUSIONS
Igbiloba O. Enoch (URP/08/4352) Supervisor: Dr. Oyinloye M.A.
19
40
47
12
22
32
0
10
20
30
40
50
1986 2002 2013
31
18
13
45
23
15
0
10
20
30
40
50
1986 2002 2013
28 27 30
38 41 42
0
20
40
60
1986 2002 2013
23
15
10
4
14
11
0
10
20
30
1986 2002 2013
GALLERY /
HIGH FOREST
BUILT UP
AREA
VEGETATION BARELANDS

12. Sub Urban Growth Detection Around University Campuses
Using Federal University of Technology, Akure as a case study
with the aid of GIS and Remote Sensing Techniques
RECOMMENDATIONS
Igbiloba O. Enoch (URP/08/4352) Supervisor: Dr. Oyinloye M.A.
This study have revealed
the decline in forest
resources in the suburban,
The built up area is increasing
with the institution’s
population , hence demand for
off campus accommodation
This study has shown the
increasing growth of the sub-
urban towards the Akure City
metropolis
SUSTAINABLE RESIDENTIAL
DEVELOPMENT
SUSTAINABLE FOREST
MANAGEMENT
SPATIAL INFORMATION
MANAGEMENT SYSTEM