World Environmental Conservation Conference

 Conferenceproceeding

 Site Suitability Mapping For Fish Farming: A Geospatial Approach.

 Ogunlade, S.O

 2020

This study utilized geospatial approach of GIS and Remote Sensing techniques for site suitability mapping for Fish Farming in Federal University of Technology Akure, Ondo State, Nigeria. The dataset used for the study were AutoCAD Boundary of the study area, 2018 Landsat 8 satellite image, Digital elevation data, Geospatial data of ground control points, and SAS Planet’s 2018 satellite imagery and ArcGIS 10.5 software. Two criteria (land cover/land use and slope) were weighted using the weighted Overlay tool with percentage of influence for LU/LC 50% and slope 50%. The suitability model for fish farming was produced with four (4) classes from the most suitable class of value “1” to the least suitable class with value “4”. The most suitable class covered 166.533 hectares, representing 29% of the total area (573.352 hectares), scattered across the study area. It was observed that these areas can support fish farming ponds and also the location of it can support irrigation ponds. The least suitable class covered an area of 39.727 hectares, representing 7% of the land area, mostly around the built-up area. It is not suitable because fish farm cannot be sited in the built-up area, since it serves as the area where academic activities are mostly performed. This study therefore justified that integration of GIS and satellite remote sensing can be used for fish farm site selection based on the topography of an area and recommend its extensive and comprehensive use by all the community concerned. 

 National Association Of Surveying And Geoinformatics Lecturers

 Conferenceproceeding

 Land Use Mapping Of Akure Urban For Monitoring And Control Of National Development

 Ogunlade, S.O And Tukka, A.

 2019

Up to date maps are needed for many developmental purposes. Traditional methods are slow and cumbersome. Akure Urban needs up to date maps both for monitoring and control of development in form of planning, etc. Remote Sensing and Geographical Information System tools are available to solve the problem. This paper tends to x-ray the importance of Surveying in National development from the perspective of Urban Landuse Mapping. High-Resolution satellite imagery of Akure (Quickbird of 0.7m spatial resolution) was used to map the Akure urban environment for the years 2010 and 2016, and Differential Global Positioning System (DGPS) method to obtain adequate ground control points for the purpose of georeferencing the satellite images. The study area was classified into eight existing land use classes using the segmentation algorithm of object-based image analysis (OBIA) of the e-Cognition Developer 64 software. Through GPS waypoints ground truthing for accuracy assessment of the land use classes was performed. The resultant maps were analysed with ArcGIS 10.3 version. The results showed Residential, Educational, Commercial, Community & Public Institutions, Public Utilities, Open Space & Undeveloped Land, Recreation, Industrial and Transportation as the existing land use classes in the study area; and that the 2010 and 2016 landuse maps generated had accuracies of 87.73% and kappa values of 0.832 and 0.852 respectively thus judging them to be of high accuracy and precision, hence good for analysis; as well as having the existence of both intra- and inter- land use transformations between the two epochs.Residential land use was observed to have the highest positive transformation of 18.38% while the open lands and the organised open lands experienced a decreasing transformation of 10.66% and 0.16% respectively. The results were then used to discuss the role that surveying plays in a nation's development. The research thus proofs the inevitability of the integration of Remote Sensing methodologies and the tool of Geographic Information System for landuse mapping as an invaluable tool in national development. The paper recommended the placement of surveying as first priority before, during and after any developmental processes of a nation. 

 Department Of Urban And Regional Planning, FUTA

 Others

 Modelling Urban Poverty In Akure Metropolis Using Geospatial Mapping.

 Ogunlade, S. 0.

 2019

This paper modelled urban poverty of Akure Metropolis using the geospatial mapping of the combined technologies of Remote Sensing and Geographical Information system. High resolution images: Quickbird (0.7m) of year 2016 and Ikonos (1m) of years 2006 of Akure and Environs were acquired for the study. The images were geo-referenced to convert the image pixels in rows and columns to corresponding ground coordinates in Eastings and Northings. The image segmentation method of Object Based Image Analysis was used to classify the images into 8 segments which were exported into the ArcGIS 10.3 environment and assigned land use classes. The trend of the land use change between year 2006 - 2016 was determined and analysed. Structured questionnaires were used to capture the response of the residents of the study area to the socio-economic impact on the landuse changes. The correlation of the socio economic condition with that of landuse change was used to model the poverty level of the study area. Empirical and graphic Models were produced for the urban poverty. Agent Based Modelling Simulation was used to model the improvement of socio-economic factor on landuse change from year 2016 to year 2030. The result found tremendous increase in the landuse changes by the year 2030. The importance of improvement of socio-economic factors to wipe out poverty was concluded. The models generated and the findings as assets for various stake holders of the community; the extent to which the socio-economic factors should be improved and the consequences were recommended. 

 Necor

 Conferenceproceeding

 Monitoring The Spatial Transformation Of The Federal University Of Technology, Akure Between 2002 And 2018

 Ogunlade Simeon Oluwole

 2019

The spatial transformation of the Federal University of Technology, Akure, Nigeria between year 2002 and year 2018 using Satellite Remote Sensing and Geographical Information System techniques is the focus of this study. Satellite images consisting of Landsat 7 ETM+ of year 2002, Landsat 8 OLI/TIRS of year 2014 and year 2018 were obtained and processed with supervised maximum likelihood classification using ArcGIS 10.3 software. The resultant images were classified into built-up, thick vegetation, light vegetation and bare land landuse/landcover (LULC) classes. Microsoft Excel spreadsheet was used to perform LULC area calculations through which the dynamics of LULC changes and the spatial expansion were thus identified. The result showed Built-up (13.58%, 14.59%, 20.75%); thick vegetation 33.78%, 26.26%, 12.18%); Light vegetation (24.57%, 32.29%, 30.51%); Bareland (28.08%, 26.26%, 36.56%) for the three years respectively. The study recommended that the work should be used to control the removal of trees and thick forest so as to protect ecosystem and preserve biodiversity. 

  NATIONAL ASSOCIATION OF SURVEYING AND GEOINFORMATICS LECTURERS

 Conferenceproceeding

 Land Use Mapping Of Akure Urban For Monitoring And Control Of National Development.

 Ogunlade, S.O And Tukka, A.

 2019

Up to date maps are needed for many developmental purposes. Traditional methods are slow and cumbersome. Akure Urban needs up to date maps both for monitoring and control of development in form of planning, etc. Remote Sensing and Geographical Information System tools are available to solve the problem. This paper tends to x-ray the importance of Surveying in National development from the perspective of Urban Landuse Mapping. High-Resolution satellite imagery of Akure (Quickbird of 0.7m spatial resolution) was used to map the Akure urban environment for the years 2010 and 2016, and Differential Global Positioning System (DGPS) method to obtain adequate ground control points for the purpose of georeferencing the satellite images. The study area was classified into eight existing land use classes using the segmentation algorithm of object-based image analysis (OBIA) of the e-Cognition Developer 64 software. Through GPS waypoints ground truthing for accuracy assessment of the land use classes was performed. The resultant maps were analysed with ArcGIS 10.3 version. The results showed Residential, Educational, Commercial, Community & Public Institutions, Public Utilities, Open Space & Undeveloped Land, Recreation, Industrial and Transportation as the existing land use classes in the study area; and that the 2010 and 2016 landuse maps generated had accuracies of 87.73% and kappa values of 0.832 and 0.852 respectively thus judging them to be of high accuracy and precision, hence good for analysis; as well as having the existence of both intra- and inter- land use transformations between the two epochs.Residential land use was observed to have the highest positive transformation of 18.38% while the open lands and the organised open lands experienced a decreasing transformation of 10.66% and 0.16% respectively. The results were then used to discuss the role that surveying plays in a nation's development. The research thus proofs the inevitability of the integration of Remote Sensing methodologies and the tool of Geographic Information System for landuse mapping as an invaluable tool in national development. The paper recommended the placement of surveying as first priority before, during and after any developmental processes of a nation. 

 University Of Lagos

 Conferenceproceeding

 DETECTION AND ANALYSIS OF SPATIOTEMPORAL LANDUSE PATTERN FOR PROPOSED AKURE MILLENNIUM CITY

 Ogunlade, S.O And Oyewole, A.M

 2018

The importance of landuse pattern in actualizing and sustaining future cities in the ever dynamic environment cannot be overemphasized. The detection and analysis of the pattern isan important requirement in landuse change detection for monitoring the dynamic environment, which is the focus of this paper. Two very high resolution satellite images (Ikonos-0.8mand Quickbirds-0.6m) of Akure for the year 2006 and 2016 respectively acquired, process and subjected to segmentation algorithm of object oriented image analysis (OBIA) using the Cognition developer 64- 9.01 software. The segmentation result was exported to ArcGIS 10.3 software environment where each segments were assigned landuse types, using visual interpretation techniques.Landuse statistical analysis were performed to derive variables from the attribute table of each landuse layer.Eight landuse classes were extracted for the two years: Commercial, Community and Public Institutions, Educational, Industrial, Open, Organized Open, Recreational and Residential. The landuse classification was generated in maps. An accuracy assessment performed on the maps as the final stage of the classification process was 93.07% and 87.73% respectively, while kappa values which is the measure of precision of the classification was 0.9 and 0.852 respectively. Thus, adjudging the map produced to be of high accuracy and precision; and good for analysis. The result of the analysis showed that the 201.76km2 total area mapped in 2006 has increased to 200.69 km2in 2016, open landuse had the highest coverage in 2006, followed by the residential landuse but in 2016 the reverse was the case. The test of the formulated hypothesis showed statistically significant difference (P ? 0.05) between the land use types between 2006-2016 in the study area. The study observed significant change in the landuse types as the open-space landuse and residential landuse type were the dominant landuse types in the study period while Commercial, Community & Public Institutions, Educational, Industrial and Recreational landuse were not too different in their use in the study period. The study recommended a close watch on unguided expansion and uncontrolled urbanization which may defeat the actualization and sustenance of the proposed millennial city in Akure. 

 Department Of Surveying And Geoinformatics, University Of Ilorin, Nigeria

 Journal

 GEOMATICS TECHNIQUES FOR LANDUSE PATTERN IDENTIFICATION IN APATAPITI SUBURB OF AKURE METROPOLIS, ONDO STATE NIGERIA

 Ogunlade Simeon Oluwole

 2018

This paper examined the use of the techniques of geomatics to identify the landuse pattern of a typical suburb of a metropolis. The chosen suburb is North Eastern part ofApatapiti community in Akure metropolis, Ondo State Nigeria. Global Positioning System (GPS) techniques was used to establish controls points around the project area to serve as a framework for the project. 2-D geospatial data of the features existing on the study area were acquired using the Total Station instnunent 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. Opinions of the residents through one-on-one interviews, physical observations and acquired geo-spatial data were combined to analyse the landuse patterns through Tables and Charts using the Microsoft Excel software. Findings revealed the problems of poorly constructed temporal and permanent features in the community, absence and inadequate roads, drainages and other social amenities. Results obtained from the analysis of the landuse showed that the layout is 61% residential, 29% commercial, 7% agricultural, 2%social and 1% educational. The effectiveness of Geomatics technique as a tool for effective mapping of small urban area was the conclusion of the project work. The study recommended the involvement of the geomatics community in the actualisation of future cities through mapping of the suburbs; yearly update of the work to help the community to know the spatiotemporal dynamics of the landuse for faster and efficient development; and the adoption of the study as sufficient for a Land Information System (LIS) applications and database creation for the community. 

 International Journal Of Environmental Monitoring And Protection

 Journal

 Impact Of Water Hyacinth On Resident Living In Coastal Areas Of Ondo State, Nigeria: A Focus On Ilaje Local Government Area

 Michael Ajide Oyinloye, Julius Oluranti Owoeye, Simeon Oluwole Ogunlade

 2018

Water hyacinth is one of the world’s worst aquatic weeds. It devastates aquatic environments and costs billions of dollars every year in control costs and economic losses. The primary aim of this project is to use Remote Sensing and GIS to monitor the impact of hyacinth on the residents living in coastal area of Ondo State, Nigeria. Landsat images of 1986, 2001 and 2016 of the study areas were obtained. The images were geometrically corrected and ground control points obtained through intensive ground surveys permitted the co-registration of all images to a Universal Transverse Mercator (UTM). The satellites imageries were made to pass through processes of image enhancement, geo referencing, re-sampling, image classification and digitizing. A supervised classification was performed on false colour composites (bands 4, 3 and 2) into the land use and land cover classes. Minimum likelihood algorithm with Arc GIS 9.3 software was also used. Questionnaire was used to determine the effect of water hyacinth on the socio-economic life of the resident. The results reveal that in 1986, water hyacinth covered 18452.29ha which constitute 3.02% of the water body and in 2001, the water hyacinth decreased to an area of 6568.18ha which constitute 0.93% of the study area and a further decrement of 4583.70ha which constitute 0.79% of the study area in 2016. Also between 1986 and 2016 the built-up area increased from 0.80% to 4.23%. The study therefore recommends proper monitoring of water hyacinth using satellite technique which will provide valuable information necessary for planning that would sustain future urban development. 

 American Journal Of Environment And Sustainable Development

 Journal

 Geo-Spatial Analysis Of Informal Settlements On Landuse/Cover Change Areas Of Osogbo, Nigeria

 Michael Ajide Oyinloye, Simeon Oluwole Ogunlade, Julius Oluranti Owoeye

 2018

The aim of this research is to examine the geo-spatial analysis of informal settlements on landuse/ cover change areas of Osogbo with a view to improve strategies to protect land use/cover change for sustainable development. The research was conducted using remote sensing, Geographical information System and questionnaire to collect the required data for the purpose of fulfilling the objectives of this study. The effect of spatial expansion of informal settlements on land use/ cover were analysed in this research for a period of forty-four years. The study made use of satellite imageries of Landsat (MSS) images of 1972, 1986 and 1991 (TM), Landsat Enhanced Thematic Mappings (ETM+) of 2002 and 2016. The study employed supervised digital image classification method using ILWIS 3.2 and ArcGIS 10.3 software to classify the landuse/ landcover into built-up area, vegetation, gallery forests, cultivation and water bodies. Digitized maps were carefully overlaid and calculated to get the different trend of changes in the Informal settlement and its impact on land use/ cover cultivation. The results of the analysis reveal that the built-up area (informal settlement) has been growing rapidly for the periods (1972-2016). Findings also show increase in cultivation while vegetation decreases, the water bodies were stable between 1986, 1991 and 2002. Based on the GIS analysis, future prediction/ trend of the informal settlements and its subsequent impact on land use/ cover were modeled between 2002 and 2023. Findings show that, housing provision, business purpose and industrial are the major causes of land use change in the study areas. To reduce the effect of land use conversion in the study areas, policy measures were recommended which include regulating the growth and spread of development and regional development programs. 

 Worldscientific News

 Journal

 The Role Of Demand-Responsive Transportation System In Road Traffic Accidents In Part Of Ibadan, Oyo State, Nigeria

 I. A. Amusa, S. O. Ogunlade, A. A. Akinpelu And C. S. Nmeregini

 2018

Road Traffic Accidents (RTAs) are common occurrences on Nigeria roads and Ibadan is not an exception. Non-availability of facilities to take the injured to the nearest hospitals necessitated this study. The study looked at the role played by Demand-Responsive Transportation System in Road Traffic Accidents in part of Ibadan with a view to reduce deaths caused by the inability of the available system on ground to rescue the injured from the scene of the accidents to the nearest hospitals for immediate first aid or outright treatment. The aim is to locate an accident scene, the nearest hospital and the shortest route to the hospital with facilities to treat the victims. The study adopted Remote Sensing and GIS methods to acquire both primary and secondary data and used ArcGIS 10.3 software for the processing of the data and performed geospatial analyses to produce information for a Decision Support System. Twenty three hospitals and eleven accident scenes were considered. The hospitals have the basic facilities to take care of victims of Road Traffic Accidents within the study area. The study revealed that 63.64% of the total Road Traffic Accidents’ scenes in the study area occur on the Dual carriage ways while the remaining 36.36% occurred on the singlelane roads. The travel distances range from 1.4 Km to 3.3 Km between one of the accident scenes and twelve of the hospitals. The number of hospitals available to attend to the RTA victims within an accident scene are between 0 and 6 when a distance of 1Km is considered and can be more with increase in the travel distance but should rather be shorter because of danger in travelling farther with injured victims. There are also overlaps because of the distribution of the accident scenes and the hospitals in the study area.