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Comparison of linear regression, k-nearest neighbour and random forest methods in airborne laser-scanning-based prediction of growing stock.

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Bibliographic Details
Title: Comparison of linear regression, k-nearest neighbour and random forest methods in airborne laser-scanning-based prediction of growing stock.
Authors: Cosenza, Diogo N1 (AUTHOR) dncosenza@gmail.com, Korhonen, Lauri2 (AUTHOR), Maltamo, Matti2 (AUTHOR), Packalen, Petteri2 (AUTHOR), Strunk, Jacob L3 (AUTHOR), Næsset, Erik4 (AUTHOR), Gobakken, Terje4 (AUTHOR), Soares, Paula1 (AUTHOR), Tomé, Margarida1 (AUTHOR)
Source: Forestry: An International Journal of Forest Research. Apr2021, Vol. 94 Issue 2, p311-323. 13p.
Database: Environment Complete
Description
ISSN:0015752X
DOI:10.1093/forestry/cpaa034