| dc.description.abstract | The development of land-use mapping is
approached from a historical perspective. The southern
campus was chosen as a study area because it has a water
area, cultivation area, built-up area, and forest area needed
to create a land use land cover map. With the most recent
technologies, numerous methods for mapping land usage
have been established. To assess the validity of these
procedures, no comprehensive investigation has yet been
carried out. As a result, it emerged to analyze the accuracy
of land use mapping. The Global Navigation Satellite
System was used as a ground data collection method to
prepare a land use plan for the study area. Further, land use
maps for the same area were prepared by using satellite
images and drone images. Accordingly, the accuracies of
the Remote Sensing product were compared with the output
of the ground data collection method. According to this
study, The Supervised Method of sentinel image has also
received 88% accuracy, the semi-automatic Method of
sentinel image has also received 88% accuracy and the
unsupervised Method of sentinel image has also received
86% accuracy. The Supervised Method of drone image has
also received 90% accuracy. Finally, when considering the
comparison of all these results, it shows that drone images
are suitable for creating land use land cover maps. | en_US |
