The Use of Three-Dimensional Convolutional Neural Networks to Interpret LiDAR for Forest Inventory
Author:
Publisher
MDPI AG
Subject
General Earth and Planetary Sciences
Link
http://www.mdpi.com/2072-4292/10/4/649/pdf
Reference82 articles.
1. Estimation of above ground forest biomass from airborne discrete return laser scanner data using canopy-based quantile estimators
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4. Quantifying aboveground forest carbon pools and fluxes from repeat LiDAR surveys
5. Habitat assessment for forest dwelling species using LiDAR remote sensing: Capercaillie in the Alps
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