Classifying individual tree genera using stepwise cluster analysis based on height and intensity metrics derived from airborne laser scanner data

By Sooyoung Kim, T. Hinckley, D. Briggs. 2011

58 citations recorded by the source corpus.

Subfields: Environmental Engineering, Insect Science, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/60ddf5d70378d1a0516a364d94d459e9c10aa9c0

How researchers see this paper

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

In Environmental Engineering

1. Bodo Bookhagen
2. Michael Alonzo
3. Dar A. Roberts

In Insect Science

1. Bodo Bookhagen
2. Michael Alonzo
3. Dar A. Roberts

In Nature and Landscape Conservation

1. Bodo Bookhagen
2. Michael Alonzo
3. Dar A. Roberts

Citations in the corpus

• Urban tree species mapping using hyperspectral and lidar data fusion (2014, background): “hw_rat_3: ratio of crown height to width: 90th percentile height) are useful for species discrimination because they are more invariant to life stage and can capture between-species variability in crown morphology (Holmgren & Persson, 2004; Kim et al., 2011).”