Estimating quantitative forest attributes using Pleiades satellite data and non-parametric algorithms in Darabkola forests, Mazandaran
Knowledge on quantitative forest attributes is a prerequisite for forest stand management. The aim of this study was to evaluate high resolution Pleiades data in estimating the standing volume and basal area using non-parametric algorithms in Darabkola forest of Sari, Mazandaran province. A sampling...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | fas |
| Published: |
Research Institute of Forests and Rangelands of Iran
2015-09-01
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| Series: | تحقیقات جنگل و صنوبر ایران |
| Subjects: | |
| Online Access: | http://ijfpr.areeo.ac.ir/article_105652_7aa78153c4348bd3ede36a120f2b94f6.pdf |