Exploiting Landsat ETM to Validate the Potentials of Nigeriasat-1 in Vegetation Mapping of Southwestern Nigeria
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Environmental and Social Sciences, Ahmadu Bello University, Zaria, Nigeria
Mapping and monitoring rainforest vegetation through remotely sensed images involve various considerations, processes and techniques. Satellite imageries are known for their differences in spectral, spatial, radioactive and temporal characteristics and thus are suitable for different mapping purposes. Achieving these purposes involves various considerations, processes and techniques. For rainforest vegetation assessment, it is important to identify discernible spectral characteristics of satellite imageries and therefore develop a preliminary vegetation classification for mapping vegetation cover. It is based on these that this paper demonstrated the potential of NigeriaSat-1 in assessing rainforest vegetation of the Southwestern Nigeria using Landsat ETM as a means of validation. In this study, the spectral classes of the NigeriaSat-1 and Landsat ETM were translated into the land use land cover classes in the image processing. The findings revealed that of the total area of about 9,700km2, NigeriaSat-1 and Landsat ETM captured 68.0% and 56.4% respectively for rainforest vegetation. Using the accuracy values generated from the two images, the results of Landsat ETM was subsequently used to establish the potentials of NigeriaSat-1 in the assessment of rainforest cover. For vegetation representation in this study, the NigeriaSat-1 data produced better and consistent producer and user’s accuracies of 98.41% and 96.88% respectively as compared to the Landsat ETM image with producer and user’s accuracies of 80.28% and 98.28% respectively.
Rainforest , Vegetation , image classification , NigeriaSat-1 , Landsat ETM , Research Subject Categories::SOCIAL SCIENCES
Ayeni A. O., B. Fashoto and J. T. Taiwo (2018). Exploiting Landsat ETM to Validate the Potentials of Nigeriasat-1 in Vegetation Mapping of Southwestern Nigeria, Savanna Journal, 24 (3): 224-233