Allometric equation choice impacts lidar-based forest biomass estimates: A case study from the Sierra National Forest, CA

By Feng A. Zhao, Qinghua Guo, Maggi Kelly. 2012

102 citations recorded by the source corpus.

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

View Paper: https://www.semanticscholar.org/paper/59bf71296ca0573b6f7ee468dfa3d071330fd4b9

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. Martin Herold
2. Qi Chen

In Insect Science

1. Qi Chen

In Nature and Landscape Conservation

1. Martin Herold
2. Qi Chen
3. Yadvinder S. Malhi

Citations in the corpus

• Estimating architecture-based metabolic scaling exponents of tropical trees using terrestrial LiDAR and 3D modelling (2019, background): “…structure models, branch diameter (Tansey et al., 2009; Huang et al., 2011), tree height (Burt et al., 2013; Krooks et al., 2014; Brede et al., 2017), and crown diameter and area (Zhao et al., 2012; Srinivasan et al., 2015) can be automatically estimated from individual tree point clouds.”
• Modeling aboveground tree woody biomass using national-scale allometric methods and airborne lidar (2015, methodology): “In the past, the Jenkins and regional methods have been used in remote sensing studies to map biomass from local to national scales (e.g., Blackard et al., 2008; Kellndorfer et al., 2012; Zhao et al., 2012).”