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...

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Detalhes bibliográficos

Principais autores:	Mojgan Zahriban, Asghar Fallah, Shaban Shataee, Siavash Kalbi
Formato:	Artigo
Idioma:	Persa
Publicado em:	Research Institute of Forests and Rangelands of Iran 2015-09-01
coleção:	تحقیقات جنگل و صنوبر ایران
Assuntos:	Darabkola Forest of Sari non-parametric methods Pleiades satellite forest quantitative characteristics
Acesso em linha:	http://ijfpr.areeo.ac.ir/article_105652_7aa78153c4348bd3ede36a120f2b94f6.pdf
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