Surveying and Geoinformatics- Conference Papers
Permanent URI for this collection
Browse
Browsing Surveying and Geoinformatics- Conference Papers by Author "Salami, A. T."
Now showing 1 - 3 of 3
Results Per Page
Sort Options
- ItemOpen AccessAn Assessment of the spectra characteristics of vegetation in south western Nigeria.(IERI Procedia, 2014) Omodanisi, E. O.; Salami, A. T.This study assessed the status of oil spill induced stress in the vegetation in Lagos and Ogun States, in the South West of Nigeria. The locations of oil spill impacted areas were identified on the field using information from the locals and a Global Positioning System with an accuracy of ± 5m and subsequently identified on the 5 m resolution RapidEye satellite image of 2009 and 2011. Field spectra were collected using Analytical Spectral Device (ASD) Handheld2 Spectrometer. The results showed varying spectral measurement of the impacted and the control. Indices were then used to distinguish less stressed from stressed vegetation which were statistically higher at F-ratio 4.825 (p < 0.01) and 3.194 (p < 0.01) in Lagos State; and 4.564 (p < 0.01) and 2.731 (p < 0.1) in Ogun State. It was concluded that oil spill had changed the spectra characteristics of impacted vegetation.
- ItemOpen AccessRemote Sensing of Vegetation Stress and Indicators(Proceedings of Global Geospatial Conference 2013. Addis Ababa, ETHIOPIA, 2013) Makinde, E. O.; Salami, A. T.The study used spectra indicators to determine the health status of polluted vegetation. Global Positioning System with an accuracy of ± 5m were used to identified stress areas. The identified impacted areas were mapped out for the field and Multispectral satellite image (RapidEye, 2009 and 2011) study. Control plot was established in relatively unstressed area. Spectra measurements were taken using hyperspectral Analytical Spectral Device (ASD) Handheld2 Spectrometer within a field of view (FOV) of 25°. Spectral indicators were calculated and the relationship between these spectral indices and chlorophyll content of the vegetation were determined. The correlation coefficients of 0.5 and higher were observed in plot B and Plot C of Ogun. Plot C of Ogun of had a range of 0.6 -0.83 rho at p>0.01 for all the indices. The result of the Analysis of Variance identified the best ratio and vegetation indices that significantly differed between less stressed (control) and more stressed (impacted) plots. RedEdge indices had an F-ratio of 4.564 at p<0.01 and 2.731 at p<0.1 for VOG1. The image data analysis showed that there was a direct relationship between different pollution levels and the chlorophyll content of F-ratio 325.8 (p< 0.0001) and 93.36 (p < 0.001) for 2009 and 2011.The study concluded that vegetation impacted by oil spill pollution are unhealthy.
- ItemOpen AccessRemote Sensing, A Vital Tool in Monitoring Climate Change(Proceedings of the 2nd Annual Conference of the Institute of Ecology and Environmental Studies, Ile-Ife, OAU., 2009) Omodanisi, E. O.; Salami, A. T.The impact of anthropogenic activities on the planet we inhibit has affected the climate. Humans are at risk as the earth is warming up. It is through the observation of atmosphere and hydrosphere data; and by using the latest technology such as Remote Sensing (RS) and geographical Information System (GIS) that climate change could be monitored, assessed, analysed and interpreted effectively on real time basis. This paper highlights how RS and GIS can be adopted in combating climate change.