Accuracy Assessment of Land Use Mapping Methods-Spatial Reference KDU Southern Campus

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.