Application of allometric systems for compatible area-based LiDAR-assisted estimation in the Province of Nova Scotia
- 1 November 2021
- journal article
- research article
- Published by Canadian Science Publishing in Canadian Journal of Forest Research
- Vol. 51 (11), 1688-1697
- https://doi.org/10.1139/cjfr-2021-0070
Abstract
Light detection and ranging (LiDAR) is used to estimate tree, stand, and forest characteristics across large geographic areas. In the province of Nova Scotia, an enhanced forest inventory (EFI) was developed to provide high-resolution spatial forest inventory estimates across the landscape. For various forest attributes, independent LiDAR-based relationships were built leading to mathematical and biological inconsistency among forest attribute estimates. A systems approach, composed of allometric equations describing the relationships between volume per unit area, Lorey’s average height, basal area, quadratic mean diameter, and density, is developed to address these inconsistencies. Previous results showed that applying the systems approach provided reasonable and compatible estimates and eliminated inconsistency issues among forest attributes. This study evaluates application of the systems approach applied to eastern Nova Scotia using field data from a network of permanent sample plots and recent LiDAR acquisitions. The independent EFI estimates had inconsistencies of greater than 100% for basal area and implied stand-level form factor. These inconsistencies were eliminated using the systems approach. Results show that the systems approach can be scaled to larger landscape areas and that long-term field data can be leveraged to fit the allometric systems producing mathematically and biologically consistent estimates.Keywords
This publication has 41 references indexed in Scilit:
- Are Inventory Based and Remotely Sensed Above-Ground Biomass Estimates Consistent?PLOS ONE, 2013
- Forest biomass estimation from airborne LiDAR data using machine learning approachesRemote Sensing of Environment, 2012
- Estimating biomass in Hedmark County, Norway using national forest inventory field plots and airborne laser scanningRemote Sensing of Environment, 2012
- Mixed-Effects Height-Diameter Models for Commercially and Ecologically Important Conifers in MinnesotaNorthern Journal of Applied Forestry, 2012
- Characterizing forest canopy structure with lidar composite metrics and machine learningRemote Sensing of Environment, 2011
- Simulated impact of sample plot size and co-registration error on the accuracy and uncertainty of LiDAR-derived estimates of forest stand biomassRemote Sensing of Environment, 2011
- Laser scanning of forest resources: the nordic experienceScandinavian Journal of Forest Research, 2004
- Structural stocking guides: a new look at an old friendCanadian Journal of Forest Research, 2004
- Estimating tree height and tree crown properties using airborne scanning laser in a boreal nature reserveRemote Sensing of Environment, 2002
- The Joy of Copulas: Bivariate Distributions with Uniform MarginalsThe American Statistician, 1986