Nnamdi Azikiwe University Awka, Nigeria

 Disertations

 Mapping And Analysis Of Spatiotemporal Landuse Dynamics Of Akure And Environs Ondo State Nigeria

 Ogunlade, Simeon Oluwole

 2018

Sequel to uncontrolled landuse practises resulting to many environmental problems and unguided urbanisation in Akure and Environs, this study mapped and analysed the landuse spatiotemporal dynamics of Akure and environs so as to assess the impact of the dynamics on the socio-economic condition of the residents. This aim was achieved through identification of the pattern of landuse in Akure and environs in 2006, 2010 and 2016; the analysis of the trend of the landuse changes that occurred between the year 2006-2010, 2010-2016 and 2006-2016; assessment of the socio-economic impact of the landuse changes on the resident of the study area; and prediction the landuse changes that is expected to occur by the year 2030. Very high resolution 2006, 2010 and 2016 satellite images were acquired and subjected to object based image segmentation and classification to provide the landuse types in the study area. An integration of Remote Sensing, GIS, Statistics techniques and Office Automation were employed to perform a dynamics detection of the landuse in the study area between the years 2006-2010-2016. A multi-stage stratified spatial sampling was designed to study the socioeconomic effects of the landuse dynamics on the residents of the spatially complex and heterogeneous urban study area. Expert knowledge information about the study area was gathered through structured questionnaire tailored towards the socioeconomic indicators of the Nigerian Vision 20:2020. The pattern, trend and future possible scenario of the landuse dynamics were obtained and presented in maps, charts and tables, and consequently analysed. The landuse dynamics observed from the mapping and analysis were combined with the socioeconomic indicators of vision 20:2020 to model the socioeconomic conditions on the residents of the study area. An agent based model was used to model the future scenario of the socioeconomic conditions of the residents of the study area. The result of the accuracy assessment was 93.07%, 87.73% and 87.73% for the 2006, 2010 and 2016 maps respectively; with kappa values also 0.9, 0.832 and 0.852 respectively. The result from the maps, table and charts indicated that the eight landuse classes observed in the study area has been undergoing various transformation and transitions. The performance of the regression model indicated that the landuse dynamics has strong positive impact on the socio-economic characteristics of residents. The test of the hypotheses formulated rejected all the null hypotheses thus agreeing a significant difference in the landuse pattern in 2006, 2010 and 2016; a significant difference in the landuse trend between 2006-2010 and 2010 -2016; Landuse change having impact on the socio-economic condition of residents; and a significant relationship between the landuse in 2016 and 2020. The future modelling revealed that an improvement on the socio-economic factors has influence on the land use dynamics of the study area. The study recommended the strengthening of the integration of remote sensing and GIS methods for explicit mapping of landuse in Akure; the need to have very high-resolution aerial imagery accessible in all the space related study centres; investment in very high resolution images of the metropolis; exploration of the new techniques of object based image analysis and agent based modelling in the study area; the need to improve on the socio-economic factors in landuse studies for a better use of the land by the year 2020; the maximisation of the model developed for effective present and future administration of the study area. 

 SOS-FUTA

 Conference

 Mapping And Analysis Of Forest Spatiotemporal Dynamics In Idanre Ondo State

 Ogunlade, S.O And Igbokwe, J.I

 2017

NIL 

 International Journal Of Scientific Research In Science, Engineering And Technology

 Journal

 Fit For Purpose Cadastral Information System For Sustainable Development In Fadaman - MADA, Bauchi

 BABALOLA Sunday Oyetayo, ABIDOYE A. I. , OGUNLADE S. O. & KARDAM M. S.

 2017

The FFP way to deal with land administration system has risen as a distinct advantage for creating nations and offers a suitable, down to earth answer for rapidly and affordably give security of tenure to all and to empower control the utilization of all land. The Fit-for-Purpose arrangements give chances to land administration system to convey benefits, including secure tenure rights, to an extensive variety of partner inside a generally brief time and for a moderately affordable expenses in an adaptable way. This study composed and update the entire Fadama-mada area with a sweeping computerized delineate cadastral information in order to fulfill budgetary and supportable improvement in accordance with fit for purpose land administration framework.The raster image from the simple maps was additionally completely used. Scanned image was sent to Auto CAD environment for appropriate geo-referencing. Places of refreshed highlights were included utilizing coordinate geometry (COGO). Illustrations were legitimately altered utilizing Arc view3.2a delicate product condition. Designs were connected with non-spatial attributes data base. The result of this activity was checked by a few GIS operation and examination, and digital map of Fadama-mada was produced. Results were appeared in illustrations and tables. Having finished this study, cadastral information system (CIS) has ended up being a dependable productive apparatus that can be utilized as a part of the checking, assessing and management of cadastral records in our services and nearby government workplaces and other related organizations and government foundation for reasonable development. 

 JIC

 Conferenceproceeding

 Mapping For Community Development: A Case Study Of Apatapiti Community North East, Akure-Nigeria

 Ogunlade, S. And Tijani, S.

 2016

This project aimed at carrying out the detail surveys of North Eastern part of Apatapiti community. The 2-D geospatial data of the features existing on the study area were acquired using the Total Station instrument to determine their planimetric positions in space. The planimetric positions were plotted using the AutoCAD 2007 software on a scale of 1:1500 to obtain the layout plan. Charts were produced from the analysis made to the variation in the sizes of plots and blocks, road lengths and the land use activity characterised with the layout, using Microsoft Excel software. Findings revealed poorly constructed temporal and permanent features in the community for appropriate attention. Results obtained from the analysis of the land use showed that the layout is 61% residential with commercial (29%), agricultural (7%), social (2%) and educational (1%) sharing the remaining space. The proof of Geomatics method as a tool for effective mapping, the achievement of the aim based on the results obtained and the plan produced was the conclusion of the project work. The sufficiency of the project work for Land Information System (LIS) applications and database creation, further work on the project area, archival in the department for record and research purposes were recommended. 

 The Nigerian Institution Of Surveyors (NIS)

 Journal

 Mapping And Monitoring Deforestation In Ondo State Using Remote Sensing Techniques For Forest Resources Management

 J. I. Igbokwe, S. O. Ogunlade, J. O. Ejikeme And E. C. Igbokwe'

 2016

Forest conversion into other land uses have been recognized as a serious problem leading to radical depletion of forests, especially in developing country like Nigeria. It has become an issue of growing concern throughout the world. Deforestation, a destruction or modification of forests has made a decrease of forest resources at a rapid as a result of human activities. This paper examined the deforestation dynamics in Ondo state, using Idanre Forest Reserve as a case study. Three multi-temporal medium resolution satellite imagery Landsat TM+ of 1986, 2002 and 2015 were used to monitor Idanre Forest Reserve for two epochs, 1986-2002 (16years) and 2002-2015 (13 years). Landuse/ land cover maps of 1986, 2002 and 2015 of the study area were produced by using supervised classification based on the Anderson classification scheme. The area was categorized into four classes -built-up, bare land, forest land and range land. For the years 1986 to 2002, bare land and forest land decreases by 0.15% and 13.40% respectively while range land and built-up increases by 13.49% and 0.06% respectively. Between 2002 and 2015, forest land decreases by 19.08% while bare land, range land, and built-up increases by 1.73%, 17.34% and 0.01% respectively. A fifteen years (2015-2030) prediction was done using CA_Markov's probability matrix. It was observed that a further deforestation of 17.46% is expected to have taken place from 2015 to 2030. Total deforestation of Idanre Forest Reserve from 1986 to 2002 was found to be 13.40% and 2002 to 2015 was 32.49%. It was predicted that by 2030, the total deforestation of Idanre Forest Reserve would be 49.95% if all factors are kept constant. The prediction analysis shows a high significant change in the forest reserve. 

 Joint International Conference (JIC) On 21st Century Human Habitat

 Conferenceproceeding

 Mapping And Analysis Of Urban Land Use And Land Cover In Akure, Nigeria.

 Ogunlade, S. & Enisan, G

 2016

Land use and land cover are some of the many interrelated aspect of a modern nation‘s activities where adequate information is necessary in order to make decisions. Land use/land cover data are needed in the analysis of environmental processes and problems that must be understood if living conditions and standards are to be improved or maintained. This study has to do with the determination and analysis of land use/land cover (LULC) dynamics within the period of 41 years. Three multidate datasets comprising Landsat satellite images of 1972 MSS as the base map, 1986 Landsat7 TM, 2002 Landsat7 ETM and 2013 Landsat7 ETM using the combined technologies of Remote Sensing (RS) and Geographic Information System (GIS) to determine the magnitude, rate and dynamics of change in land use within the study period. From the satellite images, submaps created were classified by the method of supervised classification based on the following classification schemes: Bare land/cultivated, built-up areas, dense vegetation, light vegetation, exposed soil, rock outcrop, water body. The maps and statistical data obtained were analyzed to infer changes that have taken place within the period of study. The result showed significant 2.5% - 4.3% rapid growth in urban areas annually. The annual rate of change in land use/land cover was determined and used as an index in predicting changes for the future. Adequate recommendations were made for the town planners, administrators and policy makers for land use/land cover development in Akure Township. 

 International Journal Of Management, IT And Engineering Http://www.ijmra.us

 Journal

 The Capabilities Of Open Source Gis Products For Land Information System

 (3) Christopher Ndehedehe., Onuwa Okwuashi., Simeon Ogunlade., Otobong Udom

 2013

With the open source database and Geographic Information System (GIS) tools that are currently available, it is possible to build a robust yet low-cost land information system. This paper attempts to explore the role of new and emerging technologies, specifically GIS and internet technologies, for resource management, and a web GIS prototype to assist in the process of land information management. 

 Journal Of Environmental Sciences And Resources Management

 Journal

 Understanding Errors And Their Measurement In Geoinformation

 Journal Of Environmental Sciences And Resources Management

 2013

Managing error in GIS datasets is now recognized as a substantial problem that needs to be addressed in the design and use of such systems. Failure to control and manage error can limit severely or invalidate the results of a GIS analysis. The various sources of errors that may affect the quality of a GIS dataset have been highlighted in this paper. One major approach in managing error in a GIS datasets is documenting procedures, products and producing data quality reports. Another is setting of standards and procedures for product. 

 International Journal Of Management, IT And Engineering

 Journal

 Geospatial Web Service Applications And Development In Nigeria.

 Christopher Ndehedehe., Onuwa Okwuashi., Simeon Ogunlade., Otobong Udom

 2013

Geospatial web services (GWS) help users find, access, and sometimes manipulate data of interest on the web dynamically from a distributed network. GWS are designed to collect data once and update or edit it in real time. Geospatial information system (GIS) software has enabled users to view spatial data in its proper format. As a result, the interpretation of spatial data has become easy and increasingly simple to understand. Unfortunately, everyone does not have access to GIS, nor would he be able to spend the time necessary to use it efficiently. WebGIS becomes a cheap and easy way of disseminating geospatial data and processing tools. Many organizations interested to distribute maps and processing tools without time and location restriction to users. Internet technology has made its way to many government organizations as well as numerous households. The ability to get information through the internet made spatial data providers to explore the internet resources for disseminating spatial information. This paper discusses the applications and development of geospatial web services in Nigeria. The paper also reviews the history, types, general concepts and an overview of enterprise geospatial web service design and development. 

 International Journal Of Advanced Research

 Journal

 Spatial Image Data Mining Using K-Means Analysis: A Case Study Of Uyo Capital City, Nigeria

 Christopher Ndehedehe., Onuwa Okwuashi., Simeon Ogunlade., Akwaowo Ekpa

 2013

Data mining is the application of specific algorithms for extracting patterns from data. Different Data mining techniques have been used on large volumes of data to discover hidden patterns and relationships helpful in decision making.This work investigates the reliability of K-means, a popular and simplest unsupervised learning algorithm in Land Use Land Cover mapping of Uyo Capital City. The spatial subset of the classified imagery and the ground truth data sampled for this work was a 500m x 500m window. K-means classification was done using different iterations for the five clusters identified in the study area. The confusion matrix, overall accuracy and kappa coefficient results were good. The overall accuracies were 95.835% and 97.588% while the kappa coefficients were0.95 and 0.97 for 50 and 80 iterations respectively. The results were also confirmed by overlaying the various cluster groups with other validated data sources like Orthophoto and digitized vector of the same location. The use of K-means clustering analysis in land use classification may provide us with significant findings and reliable classification results like the supervised and machine learning algorithms. So far the results of K-means clustering is good enough when the exact number of clusters can be determined in the image and when very large areas are not sampled.