An Integrated Framework for Assessing Land-Use/Land-Cover of Kelantan, Malaysia: Supervised and Unsupervised Classifications
Date
2022
Journal Title
Journal ISSN
Volume Title
Publisher
IOP Publishing
Abstract
This paper proposes an integrated framework to assess the LULC by using the latest complimentary data of Landsat 8 from Earth Explorer-USGS, and subsequently processed in Geographic Information System application (ArcGIS 10.8) by executing two classification techniques: i) interactive supervised classification (ISC) and ii) Iso cluster unsupervised classification (ICUC). The study area is Kelantan, a state located in Peninsular Malaysia. Three hundred sampling points were randomly generated within the boundary of Kelantan to compare the classified map of 2021 with ground data using Google Earth Pro 7.3 and Google Street View.
Description
Keywords
LULC, image classifications, GIS, Kelantan
Citation
Yeo, L. B., Mohamad, W. W., Hasan, R., Othmani, N. I., Hamid, N. A., Ramlee, N., & Yeo, O. T. S. (2022). An integrated framework for assessing land-use/land-cover of Kelantan, Malaysia: Supervised and unsupervised classifications. In IOP Conference Series: Earth and Environmental Science (Vol. 1053, No. 1, p. 012026). IOP Publishing.