Evaluating inventory methods for estimating stem diameter distributions in micro stands derived from airborn laser scanning
A lot of research has focused on which laser metrics and which k-Nearest Neighbour (kNN) distances give the most accurate estimations. Most studies suggest that the kNN distance k-Most Similar Neighbour (kMSN) is the most accurate for estimating forest variables from local training data. However, li...
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| Format: | H2 |
| Language: | Inglés |
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SLU/Dept. of Forest Resource Management
2014
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