Classifying remote sensing imageries to obtain reliable and accurate Land Use/Cover (LUC) information still remains a challenge that depends on many factors such as complexity of landscape especially in arid region. The aim of this paper is to extract reliable LUC information from Land sat imageries of the Pishkouh watershed of central arid region, Iran. […]
According to the fundamental goal of remote sensing technology, the image classification of desired sensors can be introduced as the most important part of satellite image interpretation. There exist various algorithms in relation to the supervised land use classification that the most pertinent one should be determined. Therefore, this study has been conducted to determine […]
