Using of NDVI and Remote Sensing Dataset for Distinguishing between the wheat and barley crops in Talkeef District | ||
| College Of Basic Education Research Journal | ||
| Article 23, Volume 17, Issue 3, October 2021, Pages 562-584 PDF (1.76 M) | ||
| Document Type: Research Paper | ||
| DOI: 10.33899/berj.2021.169612 | ||
| Authors | ||
| Abdulaziz Talaa Manouk* 1; Sabah Hussein Ali* 2 | ||
| 1College of Education for Human Sciences/Department of Geography | ||
| 2University of Mosul Remote Sensing Center | ||
| Abstract | ||
| The present study depended on remote sensing dataset and GIS software to distinguish areas cultivated with wheat and barley crops in the Telkeef district. Landsat 8 images of spatial resolution (30) meter for the years of 2014 and 2019, as well as a GPS readout of the areas planted with wheat and barley were adopted and applied in study. Supervised classification method was used for the landuse classified of the study area and calculation of the wheat and barley area for the two years. Also, NDVI was used to monitor the variation of vegetation cover. The result shows that, the vegetation cover area win (2013-2014( was less than that of (2018-2019). Also, the areas of wheat in ( 2013-2014) and (2018-2019) were ( 40658.4) and (55076.4) acres, respectively, while the areas of barely in the same years were ( 8597.16) and ( 23070.96) acres, respectively. | ||
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