http://irepo.futminna.edu.ng:8080/jspui/handle/123456789/101 2026-05-03T05:20:27Z http://irepo.futminna.edu.ng:8080/jspui/handle/123456789/30524 Title: Analysis of Telecommunication Service Mast Distribution in Minna, Niger State Using Geospatial Technique Authors: Adesina, E. A.; Uloko, U. S.; Olaniyi, A.M.; Animashaun, A.; Abdulkareem, S. Abstract: Since the embrace of telecommunication in Nigeria, the number of subscribers has tremendously increased and the independence on telecommunication has grown, cutting across all professions to all man's day-to-day activity. The high rate of growth has led to high pressure on the telecommunication facilities, leading to poor network coverage. The increasing number of subscribers and high dependence of everyone on telecommunication for man's day-to-day activity require that research be made into investigating ways to totally eliminate or minimize poor network coverage within the study area. Over the years, researchers from different fields have looked into this problem with attempts to help solve this problem and they most times tend to get stuck with topographic problems. This research tends to look into analysis of telecommunication mass distribution using geospatial techniques in Minna Metropolis. The aim of the research is to analyze the spatial location (X,Y,Z) of telecommunication mast in Minna metropolis in view of enhancing performance efficiency of telecommunication services in the metropolis. The parameter of the mast was acquired from telecommunication company and Street guide map of the metropolis updated with the mast location was used to locate the mass and trigonometric leveling of inaccessible points was used in getting the height of the mast. The geospatial analysts tool used was view-shed analysis. Incorporating buffer analysis, this was overlaid on the street guide map an A digital elevation model. The view-shed analysis was used to assess the effects on topography on the network coverage, while the buffer analysis was used to depict the range of network coverage. The result showed that, the distribution pattern is based on population density and concentrated commercial centres and areas where income per head is high. It also reveals that, masts were well distributed for good 2G network, but poor network coverage is still seen due to topographic obstruction. The study also revealed that. Facilities were poorly distributed for good 3G coverage at fringe of the metropolis. It was discovered that topography has effect on the network coverage as topographic features tend to obstruct the line of sight of signal from mast. It produces better visibility and signal reception than on lowlands in line of sight and view-Shed analysis. It was also discovered that in places where mast were well distributed and poor network is still seen, increasing the height of the mast could help in solving the problem. The work recommends that telecommunication mast must be placed in high peaks where the line of sight would not be obstructed. Also, LIDAR and UAV generated digital elevation models can be used for analysis in order to obtain better accuracy. The research recommend that this can be used for decision making by telecommunication companies for mass installation, and it can also serve as forehand information for businessmen regarding where to establish businesses related to telecommunication and location. 2019-02-07T00:00:00Z http://irepo.futminna.edu.ng:8080/jspui/handle/123456789/30423 Title: Assessment of Urban Development Expansion Using Object-Based Image Classification Technique. A Case Study of Asokoro City, Federal Capital Territory, Abuja, Nigeria. Authors: Abdullateef, I. Aremua; Baba, M; Adeleke, A; Bako, M; Bala, M. Kuta Abstract: Urban development expansion is critical to urban planning and management, particularly in rapidly growing cities. This study uses object-based image classification techniques to assess the urban development expansion of Asokoro, a prominent city in the Federal C capital Territory, Abuja. Satellite multi-spectral image data was employed to capture spatial changes over time, providing valuable insights into the dynamics of urban growth. The methodology involves collecting multi-temporal satellite image data covering various periods of three epochs (2003, 2013 and 2023) to analyses the trend expansion patterns of the study area. The Google image was pre-processed using a dehazing and shadow extraction algorithm. The segmentation process was carefully carried out, after which the features were extracted. Object-based image classification technique was utilized to accurately delineate urban features and monitor dynamics in land use and land cover of the study area. This approach allows for a more detailed and precise analysis than pixel-based classification methods. The outcome recorded about 14.42% of built-up areas in the year 2003. In the year 2013 and 2023, it recorded an increasing trend of about 5.21% and 7.03% respectively. Simple least square regression analyses technique was used to projection the built-up areas to the next ten years (2033). At 95% significant level, the built-up area is expected to record an increasing trend of about 7.24% which translate to be about 34.34% of the total area of Asokoro. The results reveal significant urban development expansion within the study area, characterized by increased built-up areas, infrastructure development, and changes in land use patterns. The findings provide valuable information for urban planners and policymakers to understand the spatial dynamics of Asokoro's growth and formulate sustainable development strategies. 2024-10-01T00:00:00Z http://irepo.futminna.edu.ng:8080/jspui/handle/123456789/30422 Title: Review on Depth Determination Bathymetry Using Remote Sensing Technique- Theoretical Appraisal Authors: Adeleke, A; Odumosu, J; Baba, M.; Bako, M Abstract: The determination of topography of the seabed using remote sensing technique is important in the study of oceanic/sea dynamics. This paper presents the bathymetric mapping technologies by means of satellite remote sensing (RS) with special emphasis on bathymetry derivation models, methods, accuracies. Bathymetric mapping by using echo sounding sounders could result to some constraint. However, Remote sensing (RS) technologies present efficient and cost-effective means of mapping bathymetry over remote and broad areas. RS of bathymetry can be categorized into two namely: Active and Passive RS. Active RS methods are based on active satellite sensors, which emit radiation independent of sunlight to study the earth surface or atmospheric features, e.g., light detection and ranging (LIDAR), altimeters, etc. Passive RS methods are based on passive satellite sensors, which detect sunlight (natural source of light) radiation to study earth surface e.g., multispectral or optical satellite sensors. The Stumpf’s algorithm seems to perform better both in water attenuation and bottom reflectance having about 9.7% accuracy. This paper presents the development of bathymetric mapping technology by using RS, and to make most preferred preference models that can be used to determine seabed topography at a lower depth 2023-02-07T00:00:00Z http://irepo.futminna.edu.ng:8080/jspui/handle/123456789/30243 Title: Detection of Land Deformation Using Differential Interferometric Synthetic Aperture Radar (DInSAR) Technique Over Part of Kaduna State, Nigeria Authors: Baba, Mahmud; Bako, M; Opaluwa, Y. Drissu; Adegboyega, O. Ridwan; Yaman, A, Muhammad Abstract: Land deformation poses significant threats to infrastructure, environments and human settlements. However, the need to investigate and assess the rate of land displacement will aid in providing best mitigating approach. This study employed Differential Interferometric Synthetic Aperture Radar (DInSAR) technique to detect land deformation over part of Kaduna state, Nigeria. The observation was carried out in North West Nigeria due to the rapid incidents of earth tremor within the early month of September, in the year 2016 and 2018. Sentinel-1 satellite dataset were used to generate deformation maps, revealing area of uplift and subsidence. InSAR was adopted due to its ability to cover large area and its capability to retrieve deformation data up to millimeter accuracy. Observation was carried out within the interval of 12days from August 30th to October 5th, 2018, covering the whole month of September, 2018. The results show some level of uplift in the region. The displacement varies between -0.011m to + 0.035m (-11mm to +35mm) for interval one, –0.024m to +0.012m (-24mm to 12mm) for interval two, and -0.023m to +0.026m (23mm to 26mm) for interval three. The Kurmin Kwara area had the highest uplift levels with a maximum value of 0.035m. The causes of this deformation may be attributed to excessive earth disturbance either as a result of human factors, such as excessive drilling of borehole and other earth works. The research finding recommend the use of high resolution image data such as COSMOS-SkyMed, ALOS-2; PALSAR-2, along with some other better techniques such as Squee InSAR, PSInSAR for the assessment 2024-11-07T00:00:00Z