Remote Sensing of Vegetation Stress and Indicators
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Makinde, E. O.
Salami, A. T.
Proceedings of Global Geospatial Conference 2013. Addis Ababa, ETHIOPIA
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.
Proceedings of Global Geospatial Conference 2013. Addis Ababa, ETHIOPIA, 4-8 November 2013
Vegetation Reflectance , Stress , Spectral Indices , Oil Spill , Research Subject Categories::TECHNOLOGY
Makinde, E. O. and Salami A. T. (2013). Remote Sensing of Vegetation Stress and Indicators’. Proceedings of Global Geospatial Conference 2013. Addis Ababa, ETHIOPIA, 4-8 November 2013