Predicting forest stand variables from LiDAR data in the Great Lakes St. Lawrence forest of Ontario

95 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Analysis of the Influence of Plot Size and LiDAR Density on Forest Structure Attribute Estimates (2014, methodology): “As Figure 1 shows, there is some discrepancy when defining field sampling plot size when working with LiDAR data [5,9–31].”
A best practices guide for generating forest inventory attributes from airborne laser scanning data using an area-based approach (2013, result): “Studies in Ontario found that ALS metrics produced with no minimum height threshold resulted in better estimates than those that used a 2-m threshold (Woods et al. 2008; 2011); however, it should be noted that no alternative thresholds were tested in this study.”