Mapping and Spatial Characterisation of Major Urban Centres in Parts of South Eastern Nigeria with Nigeriasat-1 Imagery

Similar documents
THE REVISION OF 1:50000 TOPOGRAPHIC MAP OF ONITSHA METROPOLIS, ANAMBRA STATE, NIGERIA USING NIGERIASAT-1 IMAGERY

UNITED NATIONS E/CONF.96/CRP. 5

Abstract: About the Author:

Use of Corona, Landsat TM, Spot 5 images to assess 40 years of land use/cover changes in Cavusbasi

Residential Development Dynamics in Port Harcourt Metropolis: Implication for Efficient Urban Planning

Landuse and Landcover change analysis in Selaiyur village, Tambaram taluk, Chennai

Mapping And Analysis Of Transportation Network Of Port Harcourt, Rivers State Using Geographic Information System (GIS) And Remote Sensing

Quick Response Report #126 Hurricane Floyd Flood Mapping Integrating Landsat 7 TM Satellite Imagery and DEM Data

Evalvaluating Geodetic Control Network of Awka Capital Territory of Anambra State for Sustainable Development

Analysis of Landuse, Landcover Change and Urban Expansion in Akure, Nigeria (pp )

Geospatial Information for Urban Sprawl Planning and Policies Implementation in Developing Country s NCR Region: A Study of NOIDA City, India

Urban Hydrology - A Case Study On Water Supply And Sewage Network For Madurai Region, Using Remote Sensing & GIS Techniques

Urban Growth Analysis In Akure Metropolis

GIS Geographical Information Systems. GIS Management

Remote Sensing and GIS Techniques for Monitoring Industrial Wastes for Baghdad City

Analysis of Future Urban Growth Scenario of Damaturu Town in Yobe State, Nigeria

Sharthi Laldaparsad Statistics South Africa, Policy Research & Analysis. Sub-regional workshop on integration of administrative data,

Spanish national plan for land observation: new collaborative production system in Europe

The National Spatial Data Infrastructure of Zambia Shlomi SIVAN, Israel. Key words: National Land Audit, GIS, LIS, Common Spatial Data

Preparation of Database for Urban Development

- World-wide cities are growing at a rate of 2% annually (UN 1999). - (60,3%) will reside in urban areas in 2030.

The National Spatial Strategy

A Case Study of Using Remote Sensing Data and GIS for Land Management; Catalca Region

International Conference Analysis and Management of Changing Risks for Natural Hazards November 2014 l Padua, Italy

Assessment of Spatial Urban Dynamics in Enugu City Using GIS and Remote Sensing

The Global Statistical Geospatial Framework and the Global Fundamental Geospatial Themes

International Journal of Intellectual Advancements and Research in Engineering Computations

AN INVESTIGATION OF AUTOMATIC CHANGE DETECTION FOR TOPOGRAPHIC MAP UPDATING

SPATIO-TEMPORAL ANALYSIS OF URBAN POPULATION GROWTH AND DISTRIBUTION IN AURANGABAD CITY

Economic and Social Council

Application of GIS and Remote Sensing Approach for the Analysis of Asaba Urban Street Network of Delta State, Nigeria

Submitted to: Central Coalfields Limited Ranchi, Jharkhand. Ashoka & Piparwar OCPs, CCL

Towards Reliable Spatial Database of Informal Areas in Greater Cairo Region

The Road to Data in Baltimore

Software for Landuse Management: Modelling with GIS

A Remote Sensing and GIS approach to trace the Densification in Residential Areas

RADAR BACKSCATTER AND COHERENCE INFORMATION SUPPORTING HIGH QUALITY URBAN MAPPING

Urban Tree Canopy Assessment Purcellville, Virginia

Dar es Salaam - Reality Check Workshop

International Journal of Advance Research in Engineering, Science & Technology

GEOMATICS. Shaping our world. A company of

Looking at Communities: Comparing Urban and Rural Neighborhoods

Evaluating Urban Vegetation Cover Using LiDAR and High Resolution Imagery

ANALYSIS OF URBAN PLANNING IN ISA TOWN USING GEOGRAPHIC INFORMATION SYSTEMS TECHNIQUES

Crowdsourcing approach for large scale mapping of built-up land

Wastelands Analysis and Mapping of Bhiwani District, Haryana

URBAN CHANGE DETECTION OF LAHORE (PAKISTAN) USING A TIME SERIES OF SATELLITE IMAGES SINCE 1972

The future of SDIs. Ian Masser

Land Use Changing Scenario at Kerniganj Thana of Dhaka District Using Remote Sensing and GIS

VISUALIZATION URBAN SPATIAL GROWTH OF DESERT CITIES FROM SATELLITE IMAGERY: A PRELIMINARY STUDY

DROUGHT RISK EVALUATION USING REMOTE SENSING AND GIS : A CASE STUDY IN LOP BURI PROVINCE

Land Administration and Cadastre

MALDIVES. Regional Expert Workshop On Land Accounting For SDG Monitoring & Reporting (25-27 th Sept 2017) - Fathimath Shanna, Aishath Aniya -

Presented to Sub-regional workshop on integration of administrative data, big data and geospatial information for the compilation of SDG indicators

VILLAGE INFORMATION SYSTEM (V.I.S) FOR WATERSHED MANAGEMENT IN THE NORTH AHMADNAGAR DISTRICT, MAHARASHTRA

Combining Geospatial and Statistical Data for Analysis & Dissemination

RETA 6422: Mainstreaming Environment for Poverty Reduction Category 2 Subproject

Abstract. TECHNOFAME- A Journal of Multidisciplinary Advance Research. Vol.2 No. 2, (2013) Received: Feb.2013; Accepted Oct.

1. Introduction. Chaithanya, V.V. 1, Binoy, B.V. 2, Vinod, T.R. 2. Publication Date: 8 April DOI: /cloud.ijarsg.

Geospatial Modeling and Analysis of Electricity Distribution in Ngozika Housing Estate Phase 1 Awka Anambra State, Nigeria.

Urban Expansion of the City Kolkata since last 25 years using Remote Sensing

sentinel-2 COLOUR VISION FOR COPERNICUS

Spatial Data Infrastructure for Prosperous Nepal

REMOTE SENSING FOR MEGACITIES RESEARCH

7.1 INTRODUCTION 7.2 OBJECTIVE

Chapter 1 Data Collection

This is trial version

International Journal of Scientific & Engineering Research, Volume 6, Issue 11, November ISSN

STATE GEOGRAPHIC INFORMATION DATABASE

Research of analog and digital data sources for landscape development analysis. Sebastian Kahlert, May 3 rd 2007 FIT 2005 UASE

Supporting GPSC Cities with Satellite Earth Observation for Sustainable Urban Development

GIS = Geographic Information Systems;

Geospatial Assessment and Monitoring of the Dynamics of Urban Expansion of Ogbomoso, South-Western Nigeria

Environmental & Socio-economic impacts of mass rapid transit using GIS

The use of satellite images to forecast agricultural production

Victor C. NNAM, Bernard O. EKPETE and Obinna C. D. ANEJIONU, Nigeria

Research on Topographic Map Updating

An Extraction and Accuracy Assessment of Dead Tree Using Object-Based Classification

An Internet-based Agricultural Land Use Trends Visualization System (AgLuT)

Monitoring Urban Space Expansion Using Remote Sensing Data in Ha Long City, Quang Ninh Province in Vietnam

Analysis of Regional Fundamental Datasets Questionnaire

Land Use of the Geographical Information System (GIS) and Mathematical Models in Planning Urban Parks & Green Spaces

Global City Definition

Selection of the Most Suitable Locations for Telecommunication Services in Khartoum

Urbanization and Sustainable Development of Cities: A Ready Engine to Promote Economic Growth and Cooperation

Operational Definitions of Urban, Rural and Urban Agglomeration for Monitoring Human Settlements

Copernicus Overview. Major Emergency Management Conference Athlone 2017

Module - 3 GIS MAPPING, MIS AND GIS UNDER RAY

BROADBAND DEMAND AGGREGATION: PLANNING BROADBAND IN RURAL NORTHERN CALIFORNIA

Understanding and Measuring Urban Expansion

Po P pulat pula ion Change Chang and Urban Expansion Cormac Walsh W

Nnam, Victor CHUKWUEMEKA, Nnam, Godwin UCHECHUKWU and Nnam John OKWOR, Nigeria

KENYA NATIONAL BUREAU OF STATISTICS Workshop on

International Journal of Scientific Research and Reviews

SAR Data Analysis: An Useful Tool for Urban Areas Applications

Presented at the FIG Working Week 2017, May 29 - June 2, 2017 in Helsinki, Finland SURV. ISAAC OLORUNFEMI ADEDURIN MAY 2017

AUTOMATED BUILDING DETECTION FROM HIGH-RESOLUTION SATELLITE IMAGE FOR UPDATING GIS BUILDING INVENTORY DATA

2015 Nigerian National Settlement Dataset (including Population Estimates)

International Journal of Scientific & Engineering Research, Volume 4, Issue 12, December-2013 ISSN

Land Use/Land Cover Mapping in and around South Chennai Using Remote Sensing and GIS Techniques ABSTRACT

Transcription:

Mapping and Spatial Characterisation of Major Urban Centres in Parts of South Eastern Nigeria with Joel I. IGBOKWE, Nigeria Key words: Urban Planning, Urban growth, Urban Infrastructure, Landuse, Satellite Mapping, Spatial Analysis SUMMARY Many Urban centres in Nigeria are experiencing population explosion as many people continue to migrate from the rural areas into the Urban cities. This uncontrolled population growth is confronting urban planners and developers with numerous problems. These problems include over-stretched urban infrastructures, massive urban environmental degradation, urban flooding, deforestation as more settlements are constructed. As a result urban renewal projects suffer, essential amenities are not provided adequately, urban landuse are not properly planned and essential spatial data are lacking. To tackle some of the above problems there has been an increase in demand for spatial map data for many urban centres in the country. The use of satellite imagery provides wonderful opportunity to satisfy these demands. With many high-resolution satellite images now available, the essential spatial maps for urban centres can be produced with less difficulties. NigeriaSat-1 satellite system provides medium resolution (32m) images in three spectral bands Green, Red and Near Infrared. In this study, NigeriaSat-1 image data was used to map the distribution of major urban centres in parts of South Eastern Nigeria. The study also includes spatial characterisation of essential growth features of these cities by comparing the generated maps with existing topographic and plannimetric maps of the areas. 1/9

Mapping and Spatial Characterisation of Major Urban Centres in Parts of South Eastern Nigeria with Joel I. IGBOKWE, Nigeria 1. INTRODUCTION Urban centers in Nigeria are facing the problems of over-stretched infrastructures, environmental degradation, seasonal flooding, destruction of natural vegetation, all resulting from increase in population. To tackle these problems there is need for availability of spatial data. Unfortunately many urban centers in Nigeria lack suitable spatial data. Urban thematic maps are not available. Where they are available, they are grossly outdated. To overcome these handicaps, urban planners are now exploring various new technologies available for quick production of much needed spatial maps. One of the areas being vigorously pursued is the use of satellite images to generate vital thematic maps of various urban centers. High resolution imageries like the Ikonos data is currently being used to create different thematic maps of cities and settlements in Nigeria for the purpose of national population census scheduled to start in March, 2006. Nigeria is also pursuing the creation of National Geo-spatial Data Infrastructure (NGDI). Obviously availability of different spatial datasets is one of the requirements of NGDI. Satellite remote sensing will be exploited to the fullest in satisfying this requirement, not only for the urban centers but also for the whole country. The advantages are numerous and include regional coverage of satellite images quick production of needed spatial data in digital and analogue form reduced financial involvement possibility for quick up-dating of the old maps etc. As part of the action programme for the exploitation of space technology in solving the Problem of lack of suitable spatial data, Nigeria on 27 th September, 2003 launched the NigeriaSat-1 micro satellite system to provide medium resolution satellite images. In this study, NigeriaSat-1 image data was used to identify the locations of major urban centers in Anambra State, situated in the South Eastern part of Nigeria. Further more spatial characteristics of the urban centers which include landcover and landuse patterns, urban growth and expansion and other factors that affect urban planning and development were analyzed. The Urban centers studied are Onitsha, Awka and Nnewi, all located within the South East zone of the county, in Anambra State. The cities are of economic and political importance to the state as well as the zone. 2/9

2. DATA SOURCES 2.1 Satellite Imagery For this project NigeriaSat-1 image data acquired in February, 2004 was used. NigeriaSat-1 produces 32m resolution images in three spectral bands as indicated in table 1. Four image windows were processed for the purpose of the study. The first window was to identify the locations and the distributions of the urban centers, while the other three were subsets to the three cities and their environs. Table 1 NigeriaSat-1 Technical Data Swath Typical Ground Number of Orbit Spectral Bands Revisit Resolution Pixels Height 600 km 3 5 days 32m 19,000 686 km Green 0.52 0.62 Red 0.63 0.69 NIR 0.76-0.90 The four image windows are shown in figure 1 (a),(b),(c),(d). Fig 1 (a). Location of the Three Urban Centers 3/9

Fig. 1 (b). Urban Center 1: Onitsha and Environs Fig. 1 (c). Urban Center 2 : Awka and Environs Fig. 1 (d). Nnewi and Environs 2.2 Field Data Field data comprises information gathered on the ground on landcover and landuse patterns in the three Urban Centers and their environs. The landcover include the water bodies, vegetation mostly shrubs and bush thickets, while landuse consists of mainly urban built- upareas and settlements. Field photographs of these were taken. The internal urban infrastructures such as transportation networks were also closely observed. 2.3 Map Data The Map data consists of the existing topographic maps of scale 1:50,000 and some other old thematic maps from where the boundaries of the urban centers were digitized for the purpose of determining the extent of growth of these cities from the time the maps were made to the time the images were acquired. 4/9

3. LOCATION OF THE STUDY AREA The three urban centers studied are all situated in Anambra State in the South Eastern part of Nigeria. The towns have been witnessing unprecedented expansion both in population and infrastructural development in the last two decades (Fig. 2). ONITSHA AWKA NNEWI Fig. 2. The Location of the Study Area and the Urban Centers 5/9

4. IMAGE PROCESSING The image processing was done according to the flowchart shown in figure 2. Each of the four image windows were radiometrically corrected, by modification of their histograms and applying limited contrast stretching. They were then enhanced through filtering. The locations of the Urban centers were then identified in the first window and marked as shown in fig. 3. A detailed landcover and landuse classification using maximum likelihood method was performed for each of the urban centers and their environs. Each classified image was checked against corresponding field data for assessment of accuracy. Where applicable modifications were made. The final classified images for the urban centers are shown in fig. 3 (a), (b), and (c). Image Data Radiometric Correction/ Enhancement Identification of the Location of the Cities Landcover/ Landuse Classification Rectification to Map UTM Grid Overlay with Existing Maps Analysis of Results Fig. 3: Image Processing Scheme Urban Growth Estimate 6/9

(a) Onitsha and Environs (b) Awka and Environs (c) Nnewi and Environs Fig. 3: The Classified Images of the Urban Centers The classified results show that the urban centers has been witnessing massive urbanization. The natural vegetation has been destroyed to give way to the expanding residential and commercial houses in the areas. These developments are uncoordinated leading numerous urban problems that are existing in the areas now. Such problems include indiscriminate dumping of solid and harzadious wastes within the urban centers, blockage of drainage channels leading to urban flooding in rainy seasons and non functional urban infrastructures. 7/9

5. GEO-RECTIFICATION AND OVERLAY WITH MAP DATA The enhanced image window of each of the urban center was geo-rectified to the topographic map UTM grid. This was done to facilitate the overlay of the image windows with the map so as to compare the boundaries of the cities and thus determine the extent of growth. The resultant image subsets were then each overlaid with the corresponding map area, which already has the boundary of the respective urban center marked. The result of the overlay show that the urban areas have been expanding at a very fast rate. In 1965 when the topographic maps were compiled, Onitsha area occupied an area of about 10.756 sq. km and in 2004 occupied an area of 64.148 sq. km. This is about 1.37 sq. Km annual growth.. or 12.72 % annual rate of expansion. Awka occupied an area of 1.08 sq. km. in 1965 but in 2004 has expanded to 20.62 sq. km. That is about 46.39 % annual rate of expansion. Nnewi on the other hand expanded from 1.34 sq. km in 1965 to 23.49 sq. km. In 2004, i.e. 42 % annual growth rate. These expansion are phenomenal considering that there was a 30 Months civil war between the two periods. The expansions have completely overwhelmed the cities, urban infrastructures have not kept pace with the expansions leading to lack of vital services as water supply. In Onitsha, Awka and Nnewi, water supply have stopped completely for many years now. To compound the problems, production of suitable maps have been neglected in Nigeria since the end of the civil war. The result is that the urban planners and developers are handicapped in that without adequate spatial data, urban development and renewal projects cannot be monitored or controlled. The same situation is obtainable in almost all the urban centers in Nigeria with the exception of probably Abuja. 6. CONCLUSION AND RECOMMENDATIONS It is obvious from the study that the uncoordinated expansion of the urban centers since the early seventies has created many and difficult urban problems in these centers. The growth of the centers has not over the years been matched with corresponding increase in the production of spatial data. The result is that in these urban centers, the scarcity of suitable spatial data has made it almost impossible to successfully tackle the problems on the ground. The same situation is obtainable in virtually all the cities in Nigeria, with the exception of probably Abuja. It means therefore that quick, accurate and massive production of different urban maps is now urgently needed to facilitate proper planning and development of our urban centers. In conclusion, the following recommendations are proffered. The Federal and State government authorities should immediately create Committees at national and state levels to work with relevant national and state agencies for the purpose of quick production of needed thematic maps of all major urban centers in Nigeria using the available high resolution satellite images. The Federal and State agencies charged with spatial planning and urban development should embark immediately on acquisition of knowledge and technical know how for the purpose of application of modern mapping techniques in their various areas of operation. 8/9

Production of thematic maps for urban planning and development will involve large sums of money. Only the Federal government and the state government will be able to provide the financial muscle needed to execute such project. Therefore they must be ready to provide all the funds that these agencies will need to prosecute such projects. REFERENCES Igbokwe, J. I. and M. N. Ono (2000), Production of Base Maps for Urban and Regional Developemnt from Satellite Remote Sensing: A Review of the Emerging Technologies. Proceedings of The Technical Session of 32 nd AGM and Conference of Nigerian Institution of Surveyors, Benin City, Nigeria. Igbokwe, J. I. (2005), Modelling of Landcover and Landuse patterns of Onitsha and Environs using the NigeriaSat-1 image Data. Proceedings of the Technical Session of 37 th AGM and Conference of Nigerian Institution of Surveyors, Kano, Nigeria. Oyinloye, R. O., Agbo B. F. and Z. O. Aliyu ( 2004), Application of NigeriaSat-1 Data for Landuse and Landcover Mapping. Awoseyila, A. (2003), Overview of NigeriaSat-1: Role in Geo-spatial Data Acquisition. Proceedings of the National Geo-spatial Data Infrastructure (NGDI) Stakeholders / Users Workshop. National Space Research and Developemnt Agency, Abuja. BIOGRAPHICAL NOTES Dr. Igbokwe obtained M.Sc. Degree in Surveying from Sofia, Bulgaria in 1983 and Ph.D. in Remote Sensing Applications from the University of Hanover, Germany in 1993. Currently, he is an Associate Professor of Surveying and Geoinformatics and Head of the Department of Surveying and Geoinformatics, Nnamdi Azikiwe University, Awka, Nigeria. He is a member of Nigerian Institution of Surveyors, Geoinformation Society of Nigeria and Nigerian Institute of Management. He is a Registered Surveyor. His research interest is in Remote Sensing and GIS applications CONTACT ADDRESS Dr. Department of Surveying and Geoinformatics Nnamdi Azikiwe University Awka NIGERIA Tel. + 234 8033 817 170 Email: joel_igbokwe@yahoo.com 9/9