Modelling some stand parameters using Landsat 8 OLI and Sentinel-2 satellite images by machine learning techniques: a case study in Türkiye

Modelling some stand parameters using Landsat 8 OLI and Sentinel-2 satellite images by machine learning techniques: a case study in Türkiye

Remote sensing technologies have been extensively used in forest management in predicting stand parameters. The goal of this study is to use Landsat 8 and Sentinel-2 satellite images to estimate stand volume, basal area, number of trees, mean diameter, and top height. 180 temporary sample plots were...

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Bibliographic Details
Main Authors: Sinan Bulut, Alkan Günlü, Günay Çakır
Format: Article
Language:English
Published: Taylor & Francis Group 2023-12-01
Series:Geocarto International
Subjects:
stand parameters
remote sensing data
multiple linear regression
support vector machine
deep learning
Online Access:http://dx.doi.org/10.1080/10106049.2022.2158238

Internet

http://dx.doi.org/10.1080/10106049.2022.2158238

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