School of Environmental Technology (SET)
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School of Environmental Technology (SET)
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Item Land Cover Classification: Comparison between Fuzzy and Boolean Classifier(FIG Working Week 2016 Recovery from Disaster Christchurch, New Zealand, May 2–6, 2016, 2016-05-06) Abdullahi Ahmed KUTA, Oluibukun Gbenga AJAYI, Ekundayo Abayomi ADESINA, Zitta NANPON, Hassan .A. SAMAILA-IJAProduction of Land Use/Land cover maps is very important for environmental monitoring and development. Image classification using either hard/or soft classifiers is crucial in the production of these maps. While fuzzy classification is suitable for modelling vagueness due to mixed pixels in the land cover, Boolean, on the other hand, is suitable for modelling land cover with well-defined boundaries. The analyst’s choice of image classifier is a very important decision in image classification, as this determines the classification output. Using Landsat5 TM of 1984, Landsat 4 TM of 1992 and Landsat7 ETM+ of 2000 satellite images, this research looks at the comparison between soft (Fuzzy) and hard (Boolean) classifiers. The Landsat ETM+2000 of a 15m spatial resolution was resampled to a 30m pixel size so that the three images would be of the same pixel size to effectively carry out pixel-to-pixel analysis. Due to the nature of the landscape and bearing in mind that land cover responds differently to various Landsat spectral bands, three band combinations (image bands 2, 3, and 4) were considered for the classification. The images were classified into four (4) different land spectral classes by employing the fuzzy membership function and maximum likelihood classification tools in Idrisi Taiga 16 software. The results obtained show that the spatial distribution of the modelled land cover classes for both Fuzzy and Boolean is the same, which buttresses the performance level of both models. The major difference between the two models lies in the output; while fuzzy shows a subtle representation according to the degree of membership function of each land cover class, the Boolean, on the other hand, represents the land cover types with a well-defined boundary. Also, the summation of the fuzzy land cover areas is not equal to the size of the study; 108% in 1984, 107% in both 1992 and 2000, are unlike the Boolean with 100%.Item Dynamic Road Segmentation of Part of Bosso Local Government Area, Niger State(American Journal of Geographic Information System 2015, 2015) Oluibukun G. Ajayi, Joseph O. Odumosu, Hassan A. Samaila-Ija, Nanpon Zitta, Ekundayo A. Adesina, Olaniyi J. OlanrewajuDynamic road segmentation (DRS) data model finds maximum application in GIS Transportation (GIS-T) studies and analysis, serving as a data model that splits linear features into a new set of segments wherever its attributes change. An attempt has been made by this research to carry out the Dynamic road segmentation of part of the Bosso Local Government Area of Minna using an IKONOS image of 1-m Pan-sharpened spatial resolution and other field survey acquired data. Geometric data was acquired using Handheld GPS receivers while the attribute data was acquired via the social survey approach(administration of questionnaires, direct observations, and on-site interviews). A Geo-database was designed and created within the ArcGIS 10.0 software environment. Analysis and queries were also performed to solve some pertinent issues concerning the route segments and to highlight the closest infrastructural facility in case of emergencies. The result highlighted the present road pavement condition of the considered road segments, adjacent land use, traffic congestion rate, notable crime spots, and accident hotspots. It also suggested that the building up of traffic congestion along the Kpakungun roundabout axis is due to the road width (8m), high traffic volume, and the dilapidating state of the road’s pavement.Item Modelling Surface Runoff and Mapping Flood Vulnerability of Lagos State from Digital Elevation Model(FIG Congress 2014 Engaging the Challenges – Enhancing the Relevance Kuala Lumpur, Malaysia 16-21 June 2014, 2014-06) Olayemi Joseph ODUMOSU, Oluibukun Gbenga AJAYI and Ekundayo ADESINAFlooding in recent times has become a critically problematic phenomenon of spatio-temporal order and considerably high frequency of occurrence all over the world, and most especially in coastal nations/states. Lagos State, one of the nine (9) Coastal States of Nigeria, has witnessed and is still witnessing multivariate cases of flooding which attains its peak in the rainy seasons (April-October) of every year resulting in loss of life and economic valuables/properties. To curb this menace, an integrated solution (combination of empirical hydrological models with remote sensing and GIS capacity) is thus presented herein using a downloaded Digital Elevation Model of the study area to delineate watersheds, flow direction, contributing areas, and flow path/Channel. Also, surface runoff was simulated for an eight-hour homogeneous rainfall, and the resulting gauge readings from eleven (11) fictitious gauge stations distributed across the state were obtained. The study was able to produce a map categorising Lagos state into three (3) zones based on their vulnerability to flood. The Quantum GIS software was used for the analysis and simulation.Item AN EVALUATION OF GEOMETRIC DATA ACQUISITION USING LANDSAT IMAGERY(CASLE – Abuja 2016 Conference Papers., 2016) Oluibukun .G. Ajayi, Yusuf .D. Opaluwa, Quadri .A. Adejare, Joseph. O. Odumosu, Nanpon Zitta and Ekundayo .A. AdesinaThe implementation of appropriate digital image processing method is crucial for deriving urban land cover maps of acceptable accuracy and cost. This study examines the effect of acquiring images in various spectral regions (bands), the impact of some image processing techniques on the combination of the different bands and the acceptable mode in which the features of the image could be classified using unsupervised classification (clustering) and supervised classification based on four different hard classifiers. Four different filter types were experimented on the colour composite images before classifying the images into different distinct land spectral classes. The Integrated Land and Water Information System (ILWIS) software was used to classify LandSAT 7 image of 2001, part 189r053, zone 32, bands 1 (Blue), 2 (Green), 3 (Red), 4 (Near infrared), 5 and 7 (Middle infrared) wavelength. From the study, it was observed that AVG 3x3 filter type is the most preferred. Colour composite of bands 5, 4, 3 in the RGB planes gave the best representation of the features of the image and that Box classifier, Minimum Distance to Mean Classifier and Maximum Likelihood classifier are excellent classifiers for image supervised classificationItem Developing a Mass Appraisal Approach for Residential Properties in Minna Metropolis(Environmental Technology and Science Journal, 2017-06) Liman, Hassan Shuaibu; Olatunji, Ayodele Isaac; Morenikeji, Gbenga; Olubajo, Oluseun Olukemi; Usman, Zakari DodoMass appraisal has become a standard approach of valuing large groups of properties especially for taxation purpose. It is widely used in developed countries including the US, UK and other European countries as well as in some developing countries such as Malaysia. In this paper, the application of mass appraisal model in Nigeria was examined. Hedonic based multiple regression analysis was used to analyse a set of 91 transaction data recorded between 2009 and 2013. The regression results revealed the contributory effect of the different housing attributes on the house price. Based on these results, a mass appraisal model for residential property valuation was developed. The performance of the model was evaluated using ratio study and the model was found to be adequate. It was discovered that a good mass appraisal model can bring about improvement in property tax administration in the study area by reducing cost and ensuring fairness and equity, which are very crucial in any property tax assessment process. The paper recommends that future studies should incorporate GIS, more explanatory variables as well as larger sample size to improve the accuracy of the model.Item Dynamics in the Adoption of Offsite Construction in the Federal Capital Territory, Abuja(Proceedings of the Nigerian Building Road Research Institute International Conference., 2017-06) Olubajo, Oluseun Olukemi; Olawuyi, Babatunde James; Williams, Frank NdanusaConstruction work involves three major activities namely; material selection, fabrication of components and elements and lastly erection or assembling. The methods of fabrication are either onsite or offsite with the offsite construction established in literature as the most efficient means of erecting high-density housing units within short periods. The slow rate of its adoption and innovation in Nigeria’s construction industry is however a matter of concern. This prompted a study on the dynamics involved in adopting offsite construction processes in the Federal Capital Territory, Abuja with a view to stimulate improved adoption in housing projects. The specific objectives are to identify mechanisms for increasing innovations in construction, to evaluate the level of use of offsite construction processes across housing supply chains and to examine the significance level of forces that interplay in the adoption of offsite construction processes across the housing supply chain. A survey design approach was adopted to achieve this objective while data collected from structured questionnaires using a 5 point Likert scale was analysed with mean item score and ranking. 50 questionnaires were administered and 47 supply chain participants responded from 20 housing projects within the F.C.T. Abuja. The questionnaire comprised of characteristics of supply chain participants, levels in adopting offsite processes in selected building components and elements and relative importance of forces that interplay in adopting offsite construction. Results revealed that the raw material and labour availability with (MIS =4.00) were the most significant influences on housing supply chains. It was concluded that managing raw materials and labour supply more effectively will significantly influence the adoption of offsite construction in housing projects and has direct effects on the performance of the construction industry. The study suggests that stakeholders in construction view themselves as members of a supply chains and collaborate more effectively to ensure better project. outcome.Item Influence of leadership Traits on Team Performance as Correlates of Sucess in Construction Project Delivery(Civil Engineering and Urban Planning: An International Journal (CiVEJ), 2015-06-01) Ekung, Samuel; Olubajo, Oluseun Olukemi; Ebong, UbongThe project environment in Nigeria is shifting from traditional practice towards dispersed teams thereby creating the need to understand leadership attributes that lead to successful project outcomes. This study assessed the impact of leadership traits on team performance as correlates of success in construction projects. Like many other management research, the study involve inferential survey. 172 participants drawn from the different professions in the construction industry selected from 42 mega projects completed in the last three years in south-south Nigeria were sampled. Twelve collaborative leadership traits drawn from emotional, managerial competencies were tested against team performance and team spirit stimulants from the literature. Mean item score was used to evaluate relevance of the traits to collaborative working while hypotheses were tested using chi square. While the result of the study is not different from literature, the far reaching implication is that, project team members’ satisfaction translates into successful projects. Project management’s leadership quest to satisfy the project team must be guided towards collaboration. The current result has advance significantly the understanding of team leadership attributes for the research environment and further buttress the need to meet project participants’ mutual objectives for a successful project.Item Empirical Study on Rainfall Patterns and Construction Programme Provisions in Jos, Nigeria(West African Journal of Building and Road Research. © Nigerian Building and Road Research Institute (NBRRI), Nigerian & Building and Road Research Institute of Council for Scientific and Industrial Research (CSIR-BRRI), Ghana, 2017-11-30) Olubajo, Oluseun Olukemi; Olawuyi, Babatunde JamesWeather conditions affect the duration and cost of construction activities, and many companies have neglected the need to consider the exact empirical effect it has on the delivery of construction projects. This prompted an investigation on the precipitation patterns in Jos Metropolis of Plateau State, Nigeria and its effects on the delivery of construction projects. The study evaluated the amount and frequency of yearly precipitation in Jos, and compared it with the provisions made by Builders and Construction Managers in preparing construction programmes and determined its effect on the construction projects delivery. A Mixed design approach was adopted with Rainfall data collected from the Nigerian Meteorological Agency for over a 10 year period as well as from structured questionnaires. The Data was analysed using mean and percentages. The study concluded that the provisions made for idle or rain days in preparation of work programmes for construction projects were in most cases inaccurate and thus affected the performance of the construction projects. The study suggests measures to be adopted by stakeholders towards better project outcome.