Predicting Forest Inventory Attributes Using Airborne Laser Scanning, Aerial Imagery, and Harvester Data
Published 2019 View Full Article
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Title
Predicting Forest Inventory Attributes Using Airborne Laser Scanning, Aerial Imagery, and Harvester Data
Authors
Keywords
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Journal
Remote Sensing
Volume 11, Issue 7, Pages 797
Publisher
MDPI AG
Online
2019-04-04
DOI
10.3390/rs11070797
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- yaImpute: AnRPackage forkNN Imputation
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- Outlook for the Next Generation’s Precision Forestry in Finland
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- Different plot selection strategies for field training data in ALS-assisted forest inventory
- (2010) M. Maltamo et al. FORESTRY
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