Land cover and rangeland classification map using Land sat satellite image (TM) (Case study) Namrood watershed | ||
| تحقیقات مرتع و بیابان ایران | ||
| Article 9, Volume 13, Issue 3, February 2006, Pages 265-277 PDF (419.76 K) | ||
| Document Type: Research Paper | ||
| Authors | ||
| Mahmood Goudarzi* ; Mahdi Farahpour; Alireza Mosav | ||
| Abstract | ||
| In Iran, like many other developing countries, high population growth rate causes unfairly uses of natural resources and consequently land cover change. Therefore, detection of land cover (rangelands, irrigated and rainfed agricultural lands, urban areas…) changes can influence local planning and natural resource management. Present study efforts to find a rapid and exact method of recognition different land covers using Landsat satellite data. Methods used in this research were image enhancement, false color composite (FCC), principal components analysis (PCA) and Image classification, i.e. normalized different vegetation index (NDVI) and supervised classification. A GIS environment, ILWIS software, was used. Results showed that irrigated agriculture, rainfed agriculture, rock out crop, rangeland classes (fair, moderate, poor condition) could be separated with overall accuracy of 89%. | ||
| Keywords | ||
| Remote Sensing; TM satellite image; land use; land cover; vegetation index; Namrood watershed | ||
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