GIS, Remote senisng, Gps, SMCE


Inhabitants getting Unclean Water

In Depth Coverage

Assessment of Eco-environmental vulnerability in Efon Alaye

This study evaluates the eco-environmental vulnerability of Efon Alaye located in Ekiti State, Nigeria, which is a typical mountainous region with steep slope and an upland ecosystem. An integrated Remote Sensing and Geographical Information System approach will been used to analyse the eco-environmental vulnerability of the region. Satellite data of the study area for different periods will be used for the analysis. Spatial Multi- Criteria Evaluation operation will be used to generate the vulnerability map of the study area. Indicators are landuse, vegetation map (NDVI) and slope map. The vulnerability distribution will be classified into five levels: potential, slight, moderate, high and extreme. Results gotten will help in decision making in the region and indentify areas of scarces resources.


  • Link With Climate Change


    In recent times the community has been experiencing erosion as a result of the changing Rainfall pattern. This study will exploreoptions for community adaptationto this change and environmental management. Integrating GIS and remote sensing based analysis will enbale the tema  to better assess potential, extreme vulnerable areas and ways the community can adapt.

  • Objectives


    The specific objectives for the present work at Efon-Alaye are:

    (i) To create a Digital Elevation Data from the Digital Elevation Model (DEM)
    (ii) To develop the spatio-temporal landcover change of the area.
    (iii) Using SMCE application to develop an environmental vulnerability map index, and the computed result classified.
    (iv) To determine the percentage vulnerability change relative to years under consideration.

  • Work plan


    The work plan for this study is a duration of 22months.

    1. Reconnaissance Survey

    * Ancillary data acqusition (Population, Administring of Questioniares etc)
    * Collecting of Ground control points with GPS on site

    2. Geo-database creation

    3. Re- evaluation visit

    4. Querying and statistical analysis of data

    5. Map creation

    6. Planning/ Decision support system

  • Schedule


    March- April: Community Awareness Programme

    May - August: Reconnaissance Survey

    Sept.- First premilary Report

    October-November: Data Processing

    December: Break

    Jan.- March: Data analysis

    April: Re-validation visit

    May: Second Report

    June - August: Map creation

    September- November: Community presentation, Decision taking, Deliverables

  • Technical and Scientific Approach & Methods Proposed


    As a team we make use of hardware systems such a the use of GPS for taking of the ground control points.

    2. Satellites imageries of the region of different period will be classified into five levels for study the landuse landcover change

    3.An NDVI map will be generated

    4. Because of the topograghy of the region (Mountain) a DEM (Digital Elevation model) will be created from Topo maps/SRTM

    5.Slope map will be generated.

    These maps that will be generated will serve as the indicators to generate the final Vulnerability Index Map.

  • Results


    Our final vulnerability map created will be classified into 5 levels

    Potential, slight, moderate, High and Extreme Vulnerable. which will tell us the areas in the community that apply under this class.

  • Deliverables


    1. Vulnerability Index Map

    2. Land use Land Cover Map

    3.DEM of the region/ Slope Ma

    4.Final Project Report

  • Use of Satellite Imagery and GIS Solutions


    The Satellite imagery will do good to give us past information of the region as we detect the change LULC etc .

    Also GIS will provide solution in data analysis on a spatial scale as we integrate other data set.

  • Local Actions


    A final project awareness presentation will be made to the community with a final report handed to the Local community chair person for necessary actions to be taken on how the people can adapt to this change.

  • Region Name

  • Partners involved in project