GORS 15 - 1 Land use cover mapping of Wadi Kaerbet Mleeha (Hasakeh) using Remote Sensing and GIS

Authors

  • Rukea ALHasan General Organization Of Remote Sensing

Keywords:

land use, Gram schmeditt technique, , supervised classification, Total rating accuracy, Statistical scale Kappa

Abstract

Abstract: This study was carried out on Wadi Khirbet al-Malihah to produce the Land use and land cover map using remote sensing (Landsat 8 image) and GIS techniques. The image was processed and improved using the Gram schmeditt technique to pan sharping the multi-spectral image medium spatial resolution (30 m (with Panchromatic Band (15 m G. R.). The process of classification was guided by the maximum likelihood, and used Arc GIS 10.3 to produce digital map study area. The classification result showed five classes of minimum level by Anderson classification system including Agriculture lands, pastures, barren lands, urban and water. The checks were performed by using google earth to compare the Land use classes with real points. The accuracy of the total classification based on matrix error was 89.51%. The Statistical standard Kappa of the overall accuracy was 86.3 %.

Downloads

Published

2021-07-09

Issue

Section

Articles