Abstract
Abstract A ground-truth (GT) map, produced by fieldwork and the interpretation of large-scale black and white aerial photographs, was compared with digital/graphical output from LANDSAT data of the savanna around Makurdi in central Nigeria. The GT maps were digitized, grid-converted and then aggregated while the LANDSAT data were resampled for the purpose of rectification on the ERDAS 400 microcomputer at the Michigan State University. A visual comparison of the maps was done by overlaying the digital maps on the GT map using a colour monitor while the histogram listing provided an approximate quantitative comparison. The two algorithms of supervised classification (maximum likelihood and minimum distance) produced similar results but the third unsupervised classifier algorithm, cluster analysis, produced a far simpler map that is ideal as a reconnaissance soil/resource survey map. The major landforms were recognized by image processing but the reflectance-based classification resulted in misgroupings bec...
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
