Browsing by Author "Abel Adebayo"

Now showing 1 - 5 of 5
  • Thumbnail Image
    Item
  • Thumbnail Image
    Item
    Deductive and Multi-criteria Approach to Ecosystem Modeling and Habitat Mapping of Shea Butter Trees (Vitellaria Paradoxa) in the Tropical Savanna
    (International Journal of Environment, Agriculture and Biotechnology (IJEAB), 2017-12-01) Gabriel Salako; Henry Sawyerr; Abubakar Bashir; Abel Adebayo; Abdulrasheed Adio
    An ecosystem map for 14 local administrative units of Kwara state North Central Nigeria and Vitellaria paradoxa habitat in the broad Savanna region was produced using multi criteria and integrated GIS models as against the traditional single layer thematic approach. The criteria used in classifying and mapping the ecosystems are: climate (rainfall and temperature), physiography (slope, relief), vegetation/land cover and drainage system. The climate layer was extracted from WorldClim database using DIVA GIS, the topographic layer was produced from 90 m NASA/SRTM digital elevation model. NDVI was run on composite images to produce vegetation layers. All the input data layers were spatially modeled in ArcGIS to generate the 7 classes of ecosystems. The Georefrenced trees sample points from field survey was overlaid on classified images to produce distribution pattern of Vitellaria paradoxa and its habitat in Savanna wood land ecosystems.
  • Thumbnail Image
    Item
    Spatio Temporal Land Use Land Cover Change Mapping of Malete Elemere: Implication on Development Planning of Emerging Communities
    (International Journal of Environment, Agriculture and Biotechnology (IJEAB), 2017-08-15) Henry Sawyerr; Gabriel Salako; Oluwasogo Olalubi; Abdulrasheed Adio; Abel Adebayo; Biola Badmos; Umar Mohd Jambo; Grace Adepoju
    The use of Ecosystem and Biodiversity mapping, land use land cover change detection has been advocated in preparation of developmental master plan in towns and cities. Noticeable changes have been observed within Malete Elemere community since the establishment of Kwara State University Malete, yet its spatial pattern and socio ecological implication have not been investigated. This work seek to determine and produce land cover land use change map of Malete Elemere over the last 10 years and post 15 year periods through change detection techniques so as to evaluate the impact of the establishment of Kwara State university on the settlement spatial development. Landsat 7 Enhanced Thematic Mapper Plus (ETM+) satellite images of 2005, 2010 and 2015 of the study area were acquired from USGS at spatial resolution of 30 m. Radiometric correction were applied to all the images using radiance modules in Idrisi32 with radiance spectral value set at DN 0 (Lmin) and 255 (Lmax). An unsupervised classification was carried out on the composite images of bands 4,3,2,1 for all the selected years to identify possible maximum spectral reflectance classes, this was followed by supervised classification using training sample from the field survey from which image to image spatio-temporal changes statistics were extracted. To generate a prediction of LULC changes for 2025, Cellular Automata-Markovian transition estimator (CA-Markov) in Idrisi32 was used. Various Kappa statistics was used to evaluate the performance of prediction with an average K statistics of above 0.83 recorded. The result shows that built up area gained an astronomical increase (180%) between 2005 and 2015 while forest lost significantly (34%) within the same periods, with most of the gains occurring in 2010 and 2015 after the establishment of KWASU. By 2025, two Major growth pole centres will emerge along Malete Elemere Axis and one minor in Jenkunu Omoni Axis which will exert a great stress on infrastructural facilities and may create a chaotic condition if left unattended to.
  • Thumbnail Image
    Item
    Using Multi Techniques Analysis in Biogeoclimatic Ecosystem Classification and Mapping of Mambilla Plateau in Taraba State Nigeria
    (Open Journal of Ecology, SciRes. http://www.scirp.org/journal/oje, 2016-05-31) Gabriel Salako; Oluwasogo A. Olalubi; Henry Sawyerr; Glenn Howe; Abel Adebayo; Abdulrasheed Adio
    This work used multi techniques analysis comprises GIS models, geostatistics, clustering analysis as against the traditional single layer thematic approach to characterize Mambilla Plateau, a cold highland in Taraba state of Nigeriainto biogeoclimatic ecosystem zones needed for natural re￾sources management. The principal criteria used in classifying and mapping the ecosystems are: climate and bioclimate data, physiography (slope, relief and aspect), vegetation/landcover data. In classifying and mapping the physiography of Mambilla Plateau, the topographic layer was pro￾duced from 90 m NASA/SRTM digital elevation model. Principal component analysis, agglomera￾tive hierarchical cluster analysis (AHC) and geostatistical techniques (Kriging) were applied to develop bioclimatic layer. A combination of vegetation field survey conducted on selected sites, un/supervised classification and the application of NDVI values was used to produce landcover map and delineation of the Plateau into vegetation units. These layers of physiographic, biocli￾matic and vegetation were spatially combined using fuzzy (sum) overlay in Arc GIS 10.2 to pro￾duce 5 major and 1 subunit biogeoclimatic ecosystem zones on the Mambilla Plateau and the ad￾joining landscape namely: humid lowland forest/humid shrubby forest, montane forest, escarp￾ment stream valley forest, grass cypress cool mountain and, grass eucalyptus cold high mountain. It is expected that this approach to biogeoclimatic ecosystem mapping shall form the bedrock for vegetal/forest resources management not only in the region but find application especially in most of the highland of the world.
  • Thumbnail Image
    Item
    Using Multi Techniques Analysis in Biogeoclimatic Ecosystem Classification and Mapping of Mambilla Plateau in Taraba State Nigeria
    (2016) Gabriel Salako; Oluwasogo Olalubi; Henry Sawyerr; Glenn Howe; Abel Adebayo; Abdulrasheed Adio