Exploiting Landsat ETM to Validate the Potentials of Nigeriasat-1 in Vegetation Mapping of Southwestern Nigeria

Simple item page
dc.contributor.authorAyeni, A.O.
dc.contributor.authorFashoto, B.
dc.contributor.authorTaiwo, J.T.
dc.date.accessioned2021-10-22T18:10:06Z
dc.date.available2021-10-22T18:10:06Z
dc.date.issued2018
dc.descriptionScholarly articlesen_US
dc.description.abstractMapping 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.en_US
dc.identifier.citationAyeni 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): 224-233en_US
dc.identifier.issn0331-0523
dc.identifier.urihttps://ir.unilag.edu.ng/handle/123456789/9651
dc.language.isoenen_US
dc.publisherEnvironmental and Social Sciences, Ahmadu Bello University, Zaria, Nigeriaen_US
dc.subjectRainforesten_US
dc.subjectVegetationen_US
dc.subjectimage classificationen_US
dc.subjectNigeriaSat-1en_US
dc.subjectLandsat ETMen_US
dc.subjectResearch Subject Categories::SOCIAL SCIENCESen_US
dc.titleExploiting Landsat ETM to Validate the Potentials of Nigeriasat-1 in Vegetation Mapping of Southwestern Nigeriaen_US
dc.typeArticleen_US
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
2018f - Exploiting Landsat ETM to Validate the Potentials of Nigeriasat-1 in Vegetation Mapping of Southwestern Nigeria - Savanna journal Vol. 24 - 3 225-233.pdf
Size:
598.58 KB
Format:
Adobe Portable Document Format
Description:
Download
License bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description:
Download
Collections
Geography- Scholarly Publications