Modelling Stand Variables of Beech Coppice Forest Using Spectral Sentinel-2A Data and the Machine Learning Approach
Background and Purpose: Coppice forests have a particular socio-economic and ecological role in forestry and environmental management. Their production sustainability and spatial stability become imperative for forestry sector as well as for local and global communities. Recently, integrated forest...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Croatian Forest Research Institute
2019-01-01
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| Series: | South-East European Forestry |
| Subjects: | |
| Online Access: | https://hrcak.srce.hr/file/336652 |