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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.

Sub-Urban Growth around University Campuses_Igbiloba O Enoch

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Sub Urban Growth Detection Around University CampusesUsing 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.

SupervisorDR. OYINLOYE M.A.

FEB. 2014

Igbiloba O. Enoch (URP/08/4352) Supervisor: Dr. Oyinloye M.A.

Sub Urban Growth Detection Around University CampusesUsing 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, 2002/2003 and 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

ACCURACY

ASSESSMENT

Kappa Cohen’s

Coeffient

Sub Urban Growth Detection Around University CampusesUsing 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.

Sub Urban Growth Detection Around University CampusesUsing 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.

Sub Urban Growth Detection Around University CampusesUsing 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.

Sub Urban Growth Detection Around University CampusesUsing 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

Sub Urban Growth Detection Around University CampusesUsing 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

Sub Urban Growth Detection Around University CampusesUsing 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.

Built Up Area

Gallery /High Forest

Vegetation

Bareland

-25 -20 -15 -10 -5 0 5 10 15

11

-21

3

7

Percentage

Built Up Area

Gallery /High Forest

Vegetation

Bareland

-10 -5 0 5 10 15

9

-7

1

-3

Percentage

1986-2002 2002-2013

Sub Urban Growth Detection Around University CampusesUsing 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.

1986 2002 2013 1986 2002 2013FUTA CAMPUS SUBURB

0

5

10

15

20

25

30

35

40

45

50

Built Up Area

Gallery /High Forest

Vegetation

BarelandPerc

enta

ge %

Sub Urban Growth Detection Around University CampusesUsing 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 5316.242002 11662 5731.82 16086.17 8946.98 9961.952013 20332 4537.46 16390.76 5975.59 13823.12

TOTAL 32,137 13093.63 sqkm 47508.97 sqkm 32476.86 sqkm 29101.31sqkm

Sub Urban Growth Detection Around University CampusesUsing 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.

1986 2002 2013

0

10

20

30

40

50

19

4047

12

22

32

1986 2002 2013

0

10

20

30

40

50

31

1813

45

2315

1986 2002 2013

01020304050

28 27 3038 41 42

1986 2002 2013

0

5

10

15

2025

23

1510

4

1411

GALLERY / HIGH FOREST

BUILT UP AREA

VEGETATION BARELANDS

Sub Urban Growth Detection Around University CampusesUsing 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