Improving k-nearest neighbor predictions in forest inventories by combining high and low density airborne laser scanning data

Author:

Breidenbach Johannes,Næsset Erik,Gobakken Terje

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Geology,Soil Science

Reference45 articles.

1. Estimating forest canopy fuel parameters using LIDAR data;Andersen;Remote Sensing of Environment,2005

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3. Mixed-effects models for estimating stand volume by means of small footprint airborne laser scanner data;Breidenbach;Photogrammetric Journal of Finland,2008

4. Prediction of species specific forest inventory attributes using a nonparametric semi-individual tree crown approach based on fused airborne laser scanning and multispectral data;Breidenbach;Remote Sensing of Environment,2010

5. A novel transductive SVM for semisupervised classification of remote-sensing images;Bruzzone;IEEE Transactions on Geoscience and Remote Sensing,2006

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