Comparison of neural networks and k-nearest neighbors methods in forest stand variable estimation using airborne laser data
In the remote sensing of forests, point cloud data from airborne laser scanning contains high-value information for predicting the volume of growing stock and the size of trees. At the same time, laser scanning data allows a very high number of potential features that can be extracted from the point...
Main Authors: | Andras Balazs, Eero Liski, Sakari Tuominen, Annika Kangas |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2022-04-01
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Series: | ISPRS Open Journal of Photogrammetry and Remote Sensing |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2667393222000011 |
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