Last modified: 2020-08-06
Abstract
Land values are well recognized broadly by the scientific community, as they are associated with economy and food security, but yet land degradation is a global issue. Land use and land cover is one of the main fields of geographical studies. Geographers endeavour to understand the human activities which occur in a certain area and demonstrate an appropriate direction for optimum use of lands from both environmental and economic aspects. The objectives of this study is to make a land cover classification of Koya District Rural area with depending on the (ERDAS Imaging 2017) data and using GIS (ArcGIS 10.5) software. The Landsat8 satellite images and Thermal Infrared Sensor (TIRS) instrument were used according to Operational Land Imager of May 2015. In order to classify the study area land cover accurately, the Normalized Difference Vegetation Index (NDVI) formula was used and the results accuracy were confirmed by field surveys at 260 sites and interviews with farmers.. This study classified and mapped Koya District rural area lands for six types of the main land covers (Cropland 21%, Arable Land 7.5%, Forest 9%, Orchards 1%, Rangelands 60.5 % and Water Bodies 1%).
Keywords: Koya District Rural Area, Classification, NDVI, RS and GIS.
Published: June 2020
DOI:10.14500/krc2019.Gen329