Extracting and analyzing forest and woodland cover change in Eritrea based on landsat data using supervised classification
Remote sensing images are suitable for quantifying and analyzing land-cover dynamics, particularly for forest-cover change. In this study, the methodology used the supervised classification technique to classify and analyze the total forest-cover change in Eritrea. The results indicated that the for...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2016-06-01
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| Series: | Egyptian Journal of Remote Sensing and Space Sciences |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S111098231500037X |