Estimation of forest development stage and crown closure using different classification methods and satellite images: A case study from Turkey

Estimation of forest development stage and crown closure using different classification methods and satellite images: A case study from Turkey

The objective of this study is to estimate stand development stages (SDS) and stand crown closures (SCC) of forest using different classification methods (maximum likelihood, support vector machine: linear, polynomial, radial and sigmoid kernel functions and artificial neural network) based on satel...

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Bibliographic Details
Main Authors: Sinan Bulut, Alkan Günlü, Sedat Keleş
Format: Article
Language:English
Published: Czech Academy of Agricultural Sciences 2019-01-01
Series:Journal of Forest Science
Subjects:
supervised classification
stand attributes
support vector machine
artificial neural network
landsat 7 etm+
ikonos
Online Access:https://jfs.agriculturejournals.cz/artkey/jfs-201901-0004_estimation-of-forest-development-stage-and-crown-closure-using-different-classification-methods-and-satellite-i.php

Internet

https://jfs.agriculturejournals.cz/artkey/jfs-201901-0004_estimation-of-forest-development-stage-and-crown-closure-using-different-classification-methods-and-satellite-i.php

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