Nigerian Journal Of Surveying & Geoinformatics (NJSG).

 Journal

 Geospatial Analysis Of Loss Of Forested Areas In Akure Using Integrated Techniques Of Remote Sensing And GIS

 Ogunlade, S.O

 2021

This study investigates the loss of forested area in Akure from year 1986 to 2014 and forecast the implication on the global SDGs-Agenda 2030. Satellite Imageries- Landsat 4 TM of 1986, Landsat 7 ETM of 2002, Landsat 7 ETM of 2007 and Landsat (OLI) of 2014 all of path 190 row 055 covering Ondo, Ekiti and Osun state of Nigeria obtained for the study were sub mapped to Akure region and processed using the integrated geospatial techniques of Remote Sensing (RS) and Geographic Information System (GIS). The images were taken through preprocessing of geometric and radiometric corrections and processed with supervised classification and land cover maps for each study year were produced. The land use for the study area was classified into four categories, which include: the built-up area (involving residential, commercial, industrial, recreational and educational land uses); thick vegetation (forested land areas); light vegetation (cultivated land areas), and the water bodies (rivers, streams, rivulets, etc). Findings revealed depletion of the forested area from a 64.53% in 1986 to 26.34% in 2002, 15.18% in 2007 and 10.24% in 2014 as a result of encroachments will have serious consequence on the healthy achievement and liveability of the proposed sustainable development of the city. The forested area was predicted to reduce to 8.05% and 4.53% in the year 2020 and 2030 respectively, and be completely wiped out by the year 2039. The possible effects of this loss was analyzed. Effective strategy to check the indiscriminate urban expansion and adequate forested area depletion replacement in the area were recommended. 

 International Journal Of Current Science Research And Review

 Journal

 Mapping Spatiotemporal Dynamics Of Akure Industrial Layout For Sustainable Development.

 Ogunlade, Simeon. O., Uzoefuna Florence.M., Oyewumi Emmanuel. G. , Fajimi, Kolawole

 2021

This research aimed at mapping the spatiotemporal dynamics of the Industrial Layout located in Akure Ondo State Nigeria. The dataset used are the administrative map of Ondo State, Akure Industrial Layout Boundary,various Landsat imageries of 32m resolution which are Thematic Mapper (TM) of 1986 & 1991, Enhanced Thematic Mapper Plus (ETM)+ of 2002, Operational Land Imager / Thermal Infrared Sensor (OLI/TIRS) of 2014, 2017, 2020; and Worldview 3 image 2020 of 1.24m resolution. The Landsat data were used to extract the different Land use/Land cover (LULC) within the study area. GPS receiver and Worldview 3 image were used to obtain the coordinates of the different LULC classes, which aided in the classification of image, and also for accuracy assessment of the classified image. All the Landsat standard data products were processed, to ascertain that they are free of radiometric and geometric errors using the Level 1 Product Generation System (LPGS) and extracted to obtain the landsat image bands. The extracted Landsat images (bands) were used in the processing and calculating the Normalized Difference Vegetation Index (NDVI) and calculation of LULC changes. Evaluation the accuracy of the results produced from the land cover classification was carried out by comparing the results of ground coordinates with the coordinates obtained from a higher resolution image (Worldview 3 image) in order to determine the accuracy of the land cover classification in the study area. The trend of changes of land cover in these areas was assessed and also, the prediction for the future condition both in terms of development was determined based on the results obtained from the initial results. Results from various maps produced and numerical data generated showed that Akure Industrial Layout was mainly dominated by shrub and grass land in 1986 and has in 34 years experienced transformation of 604% in the built environment (18% /year), 119% of Bareland (3.5%/year), and -29% of Grassland (0.9%/year), -66% of Shrub (2%/year). The forecast of the probable spatial extent for the years 2025 and 2030 were estimated to be 175.3Ha and 214.8Ha respectively, which shows there will be a continuous increase in the future development in Akure Industrial layout. The research recommended a proactive action from the government and end-users that will ensure a sustained manageability of the layout. 

  International Journal Of Applied Science And Research.

 Journal

 Geospatial Assessment Of Potential Flood Prone Areas In Ilorin South Local Government Area Kwara State Nigeria.

 Ogunlade, Simeon. O., Oyedotun Timileyin. A., Abdulraheem Fatai, G., Olayiwola Amos.A.

 2021

Floods take the largest number of human lives and cause the most property damage among direct natural disasters that occurs in the world. It is a point of concern that the major environmental problems associated with the resident state of the study area is flooding which has led to loss of lives and properties worth millions of naira yearly as well as distortion of socio-economic activities in the environment. The aim of this study is to carry out the geospatial assessment of flood prone areas in Ilorin South Local Government Area Kwara state Nigeria, with the view of proffering flood hazard control and management.Thedata sets of the study area used for this research are Global Positioning System (GPS) ground coordinates, Shuttle Radar Topographic Mission(SRTM), Digital Elevation Model (DEM) data of 30 meter resolution, obtained from USGS website on which hydrologic analysis was performed to produce drainage pattern and density data of the study area;2021 Landsat 8 Operational Land Imager (OLI) and Thermal Infrared Sensor (TIRS) image (30m resolution) from USGS database. The software used for the study is ArcMap 10.2 software and Microsoft Excel. The acquaired Ground coordinates were arranged in Microsoft Excel Spreadsheet and processed in ArcGIS 10.2 software environment. Drainage density and slope were processed from the SRTM and DEM, while the study area clipped from the Landsat 8 image was subjected to maximum likelihood classifier algorithm of supervised classification to generate the landcover classes. False color combination, band 5, 4, 3, was composited and the bands were stacked for image classification operation. The maps of these factors were produced and analyse for the proneness of the study area. The result of the research revealed twelve places in the study area are prone to flooding. These are places of low elevationof less that 271m above mean sea level, located along the water channel and of gentle slopes between 0°-5°. The research finding is recommended to be adopted for a sustainable flood control and management in the study area, and as a stimulant to flood-prone study of other areas, while the government and concerned authority should adopt the research to provide necessary measure to avoid, ameliorate and manage flood occurrence in the Study area. 

 International Journal Of Multidisciplinary And Current Educational Research

 Journal

 Geospatial Assessment Of The Spatio-Temporal Land Cover Changes In Iwo Local Government Area, Osun State.

 Ogunlade, S.O, Olujire N.O, Borire G.J (2021).

 2021

This research focused on the geospatial assessment of the spatio-temporal land cover changes in Iwo local Government Area Osun State, Nigeria with a view to monitoring the rate of urbanization in order to aid the sustainable development. Medium resolution satellite images- Landsat 8 Operational Land Imager (OLI) of year 2015 & 2020, Landsat 7 Enhanced Thematic Mapper (ETM) of year 2000 and Landsat 5 Thematic Mapper (TM) of 1985 were acquired for the study. With the help of ArcGIS 10.5 software, the area of interest (AOI) from images were obtained pre-processed and enhanced to restore and rectify them, and increase their resolution for good quality interpretation. The images were thereafter subjected to supervised classification algorithm into forest, grass land, shrub, built-up, water body and bareland land cover classes. Pixel oriented image analysis was performed on the classified images to assess the rate and direction of urbanization in the study area using the built-up as the index of urbanization. Results obtained, revealed that forest land cover depleted continuously from 51.9% in 1985 to 24.9% in 2020, while others increased- grassland (15.0% to 25.6%), shrub (16.8% to 25.7%), and built-up area (4.9% to 10.3%). A forecast into the future shows that forest landcover is expected to deplete from 42.1 sq.km in 2030 to 9.6 sq. km in 2050, bare-land a decrease to 25.9 sq.km in the year 2030 and an increase to 26.2 sq. km in the year 2050, grassland (61.4 sq. km to 76.0 sq. km), shrub (54.7 sq. km to 68.8 sq. km), built-up area (24.8 sq. km to 31.5 sq.km), water body (1.0 sq. km to 1.1 sq. km) will also experience increase. The result of the Land Use/ Land Cover serves as a good source of information for urban planners interested in sustainable development and agricultural investors looking for a good place to invest their money for maximum yield in their agricultural practice. The research is highly recommended as a guide for developmental planning and decision on the study area such as preservation of forests in Iwo Local Government Area, (as the study have shown a depletion of forests and continual depletion in the next thirty years) ; also checking incessant and uncontrolled expansion ; monitoring of all indexes of urbanization. 

 International Journal Of Scientific & Engineering Research

 Journal

 EXAMINING THE ROLE OF GEOSPATIAL TECHNOLOGY IN NATIONAL DEVELOPMENT THROUGH URBAN LAND USE MAPPING

 Ogunlade, Simeon.O (PhD)., Zakari Maikudi .E., Akande Sunday .B.

 2021

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. The tools of geospatial technology are available to solve the problem. This paper examined the importance of geospatial technology 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 eCognition Developer 64 software. Through GPS waypoints ground truthing for accuracy assessment of the land use classes was performed. The landuse maps were produced and analysed with ArcGIS 10.3 version. The results showed Commercial, Community and Public Institutions, Educational, Industrial, Open, Organised Open, Recreational and Residential 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 good for analysis; as well as having both intra- and inter- land use transformations existing 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 geospatial technology plays in a nation's development. The research concluded on the inevitability of the integration of Remote Sensing techniques and the tool of Geographic Information System for landuse mapping as an invaluable tool in sustainable national development. The paper recommended the placement of geospatial technology as first priority before, during and after any developmental processes of a nation. 

 European Modern Studies Journal

 Journal

 Geospatial Assessment Of Site Suitability For Solid Waste Dump Sites In Ido Local Government Area Oyo State Nigeria

 Ogunlade Simeon O. (PhD), Afolabi Olaoluwa O, Akorede Sabur A, Odupe Saliu O

 2021

Finding suitable disposal sites is one of the most difficult aspects of solid waste management. Non-scientific and ineffective disposal methods have a harmful impact on the environment, lowering people’s quality of life. An integrated Remote Sensing and Geographical Information System approach was applied to determine suitable solid waste dump site locations in Ido local government area, Oyo state, Nigeria. The dataset of the study area used for this research are Landsat 8 Operational Land Imager/Thermal Infrared Sensor (OLI/TIRS) for the year 2020 and of 30m resolution, Geo-Eye satellite imagery obtained from Google Earth, Shuttle Radar Topography Mission (SRTM) imagery of 30m resolution, geological map from Nigeria Geological Surveys, the soil map, data on road network obtained from Open-street map and the geometric data (Coordinates) of the existing dump site within the study area acquired through field survey using a Global Positioning System (GPS). From an extensive literature review and expert opinion combined with Environment Protection Agency (EPA) standards for identifying the best area suitable for dump sites, six criteria were adopted for this study: slope, proximity to road, proximity to water body, geology, soil type, and proximity to residential areas. These criteria were used with the EPA standard as the basis for processing and analysis of acquired data using ArcGIS 10.5 software. The result shows that out of the total 979 km2 mapped for suitability for solid waste-dump site in the study area, 61.7km2 has very low suitability, 262km2 with low suitability, 334.6km2 is moderately suitable and 320.7km2 is highly suitable for waste dump site. The study concluded that the existing solid waste-dump site in the area is not suitably located and is not enough to serve the entire study area. The study recommended the data and findings in the study to be adopted as a site suitability analysis model that will serve as a guide for approval of dump site; a relocation of the existing dump site to areas with high suitability and a study on locating sites for industrial (hazardous) solid waste from clues obtainable from this study. 

 Internal Journal Of Innovative Research And Development

 Journal

 Decadal Analysis Of Land Cover Trend Of Federal University Of Technology Akure, Ondo State, Nigeria Using Medium Resolution Multi-Temporal Satellite Images

 Ogunlade, S.O

 2020

The environment is very important to man. Its continuous existence and sustenance depend on the ability to avoid its mismanagement. Land cover is a fundamental parameter describing the Earth’s surface, which is a considerable variable that impacts on and links many parts of the human and physical environments. Thisresearch sought to analyse the trend of Land cover transformation of Federal University of Technology Akure over a decade using medium resolution multi-temporal satellite images (Landsat 1987, TM 2002 and ETM 2017) with the help of satellite remote sensing and GIS techniques. Spatial data were collected over the study period to determine the transformation of the landcover in the study area. The satellite images were subjected to radiometric and atmospheric distortion corrections, pan sharpening enhancement and processing using ENVI 5.3 software; and further subjected to supervised image classification using ArcGIS 10.2 software into five land cover classes which are thick vegetation, light vegetation, grassland, bareland and built up. Land cover maps for each study year were produced and analyzed. The analysis showed that thick vegetation had an increase of 6.9% from 1987-2002, and a further gain of 4.1% from 2002-2017. Grassland increased by 6.2% in the year 1987 to 2002 and diminished with 0.8% loss from year 2002 to 2017 while bare land experienced a 0.1% increase from 1987- 2002 and a 3% increase from 2002 - 2007. Built up areas increased by 10.4% from 1987-2002 and 2.2% from 2002-2017. Light vegetation on the other hand had a -15.7% decrease between the year 1987 and 2002 and a further -8.5% loss between 2002 to 2017. The study observed a steady infrastructural development on the campus responsible for these changes and predicted more transformation by the year 2030. The study recommended a regular and consistent conduct of the analysis of land cover trend for environmental monitoring towards sustainable planning and development. 

  School Of Earth And Mineral Science (SEMS). Federal University Of Technology Akure, Nigeria

 Journal

 MODELLING SPATIOTEMPORAL LANDUSE PATTERN FOR URBAN DEVELOPMENT AND LIVABILITY USING REMOTE SENSING AND GIS TECHNIQUES

 Ogunlade, S.O

 2020

The need to model the landuse pattern for urban development and livability is salient and crucial considering the rate at which cities are fast growing today. This research work adopted Akure city as a case study for such modelling using the remote sensing data obtained from Ikonos and Quickbird satellite images. The images were corrected for atmospheric, geometric and radiometric distortions, and then subjected to segmentation algorithm of object oriented image analysis (OBIA) using the eCognition developer 64- 9.01 software. The segmentation result was exported to ArcGIS 10.3 software environment where each segment was assigned landuse types, using visual interpretation techniques. Results shows graphic and empirical models of landuse pattern of the study area generated from the eight landuse classes extracted for each of the years under study. An accuracy assessment performed on the graphic models were 93.07% and 87.73% respectively to affirm that the graphic models were good for analysis. Findings shows that the study area had experienced expansion and development as a result of transformation within and between the land use classes. A total 0.43% areal extent increase within the study period was observed. Open landuse, Residential landuse and Organised Open landuse classes with 35.80%, 44.38% and 14.5% respective increase were observed to be the dominant landuse transformations in the study period while other land use classes were not too significantly different.The research recommended the adoption of land use pattern modelling and models to monitor the fast developments to ensure achievable and sustainable urban development and livability. 

  School Of Environmental Technology, Federal University Of Technology Akure, Nigeria.

 Journal

 Mapping And Analysis Of Industrial Land Use Dynamics Of Akure Metropolis For Sustainable Development Using Remote Sensing And GIS Techniques

 Ogunlade, S.O

 2020

This study used Remote Sensing and GIS techniques to map and analyze industrial land use dynamics of Akure metropolis for the purpose of its sustainable development. The objectives are to obtain the geospatial data of the industries, to determine the past and present industrial land uses in the study area, to produce the industrial land use maps in the past decades, to analyze the trend and pattern of the industrial land uses over a period of time. Directories of industries obtained from the Ministry of Commerce and Industries Akure Ondo State, Ondo State 2013 Trade Fair catalogue; the planimetric data of points obtained with Global Positioning System instrument, the satellite imagery of 2018 of Akure metropolis obtained from SAS planet website were the dataset used. The attribute tables of the planimetric data captured from the field were organized and designed in Microsoft Excel and processed using ArcGIS 10.3 software. The satellite image was georeferenced in ArcGIS 10.3 software environment and used as the base map for the study. Spatial search was done through ArcGIS 10.3software queries to receive the information stored in the database. The industrial land use maps for the past decades were produced at a scale of 1:60,000. Findings show that industrial pattern in Akure metropolis are linearly distributed along the major roads, industrial layouts earlier designed are exhausted and also major industries in Akure metropolis are no more functioning. The proof of GIS method as a tool for effective mapping for sustainable development, the achievement of the aim based on the results obtained and the plan produced was the conclusion of the study. The study recommended industrialization as a priority to the government, resuscitation of relevant moribund industries, proper land re-allocations for industries, location of Industries far away from residential area for safety reasons. 

 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.