Tree cover change detection through Artificial Neural Network classification using Landsat TM and ETM+ images (case study: Golestan Province, Iran)
The aim of this research was to detect tree cover changes through Artificial Neural Network classification and post-classification comparison methods using landsat TM and ETM+ images in Golestan province, north of Iran with area of 20437.74 ha. Land uses and land covers were distinguished on the col...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | fas |
| Published: |
Research Institute of Forests and Rangelands of Iran
2008-09-01
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| Series: | تحقیقات جنگل و صنوبر ایران |
| Subjects: | |
| Online Access: | http://ijfpr.areeo.ac.ir/article_108009_10bb6d7ff693294725cc12dea8f49ea0.pdf |