Variation detection and respondents' feedback: the cause, effect, and solution of oil spills

Ayodele Sunday Tologbonse, Esther Oluwafunmilayo Makinde
2018 Geoinformatics FCE CTU  
Centred on occurrences of pipeline explosion and oil spills in a host community; a supervised classification technique, of land use/land cover variation detection was carried-out, with Landsat imageries of three time intervals, to determine the percentage of variation between the time intervals. Also carried-out, was a random sampling of questionnaires; dispatch to acquire respondents' feedback. It addressed respondents' demographic and social-economic composition of the sample population, the
more » ... le population, the perception on the cause and the impact, and the effect of the oil spill and finally considered the possible solutions. Information was subjected to descriptive analysis and an F-test statistical analysis in a 95% confidence interval. Reports showed that land use/land cover classification had undergone series of percentage variation within the time interval considered, indicating 'remarks' of a rise or a decline. While, the measure of insecurity (of about 36.7%) is a prevailing element to the unceasing attack on oil pipelines and only a sustaining security measure (of about 40.8%) will evidently pave a way-out. Wherefore advocating for community based policing, and a comprehensive technological sensor system, for monitoring of oil pipelines/facilities across the Nation.
doi:10.14311/gi.17.1.1 fatcat:bnbpajag5rh3bnydi2bmi5qzp4