An Assessment of Vegetation Cover Changes across Northern Nigeria Using Trend Line and Principal Component Analysis
U. Usman, S. A. Yelwa, S. U. Gulumbe
Journal of Agriculture and Environmental Sciences, 1(1), pp. 01-18.

Abstract
This study is on the application of Principal Component Analysis (PCA) and trend line using time-series satellite dataset from National Oceanic and Atmospheric Administration (NOAA) Advanced Very High Resolution Radiometer (AVHRR) and Moderate Resolution Imaging Spectroradiometer (AQUA/MODIS) with the objective of characterizing vegetation cover changes across Northern Nigeria from 1981 to 2010. The dataset were both radiometically and atmospherically processed and projected on a 0.05 degree climate modelling Grid (CMD). The dataset was analysed using principal component analysis utilising the standardised principal components (SPC) and trendlines. The results from the analysis indicated that there are both negative and positive long term trends in vegetation cover changes. However, there was more greening trend of vegetation in northern part of the study area which explained 74% and 82% of the total variance in the first PCs for the NOAA-AVHRR and MODIS, dataset respectively. However, the second PC’s indicated the seasonal variation of vegetation NDVI, explaining only 4.2% and 4.8% of the total variance of the AVHRR and Aqua/MODIS-NDVI datasets respectively.

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Usman, U., Yelwa, A. S., & Gulumbe, U. S. (2012). An Assessment of Vegetation Cover Changes across Northern Nigeria Using Trend Line and Principal Component Analysis. Journal of Agriculture and Environmental Sciences, 1(1), pp. 01-18.