Skip to Main Content
Airborne laser scanner-assisted estimation of aboveground biomass change in a temperate oak-pine forestAuthor(s): Nicholas S. Skowronski; Kenneth L. Clark; Michael Gallagher; Richard A. Birdsey; John L. Hom
Source: Remote Sensing of Environment. 151: 166-174.
Publication Series: Scientific Journal (JRNL)
Station: Northern Research Station
View PDF (825.35 KB)
DescriptionWe estimated aboveground tree biomass and change in aboveground tree biomass using repeated airborne laser scanner (ALS) acquisitions and temporally coincident ground observations of forest biomass, for a relatively undisturbed period (2004-2007; ∇07-04), a contrasting period of disturbance (2007-2009; ∇09-07), and an integrated period (2004-2009; ∇09-04). A simple randomsampling (SRS) estimator was used to estimate means and variances of biomass and biomass change for each measurement occasion and interval. For each year, linear regression models were used to predict mean total aboveground tree biomass for live, dead, and total biomass components from ALS-derived variables. These models predicted biomass with R2 = 0.68, 0.59, and 0.70 and RMSEs of 32.7, 30.5, and 31.7 Mg ha-1 for 2004, 2007 and 2009, respectively. A model assisted indirect estimatorwas then used to estimate biomass and biomass change for comparison to the field-based SRS estimator. This model assisted indirect approach decreased standard errors of biomass estimation relative to the SRS estimator, but had larger variances for biomass change estimation. Linear regression models were also used to directly predict field-estimated biomass change using ALS ∇-variables, calculated as the difference between multi-temporal ALS variables, for the study area. Integrated over the 6 year period, these change models had R2 = 0.81, 0.72, and 0.68 with RMSEs of 2.0, 9.3, and 1.0 Mg ha-1 yr-1 for live, dead, and total aboveground tree biomass, respectively. A model assisted direct estimator reduced standard errors of change estimates by 100-200% compared to the field-based estimates. We discuss several potential advantages and limitations of the direct and indirect approaches. Our primary finding is that model assisted direct estimation of biomass change decreased estimation uncertainty relative to both field and model assisted indirect estimation.
- Check the Northern Research Station web site to request a printed copy of this publication.
- Our on-line publications are scanned and captured using Adobe Acrobat.
- During the capture process some typographical errors may occur.
- Please contact Sharon Hobrla, firstname.lastname@example.org if you notice any errors which make this publication unusable.
- We recommend that you also print this page and attach it to the printout of the article, to retain the full citation information.
- This article was written and prepared by U.S. Government employees on official time, and is therefore in the public domain.
CitationSkowronski, Nicholas S.; Clark, Kenneth L.; Gallagher, Michael; Birdsey, Richard A.; Hom, John L. 2014. Airborne laser scanner-assisted estimation of aboveground biomass change in a temperate oak-pine forest. Remote Sensing of Environment. 151: 166-174.
KeywordsAirborne laser scanning, ALS, Disturbance, Multi-temporal, Biomass change estimation, New Jersey Pinelands
- Phenophases alter the soil respiration-temperature relationship in an oak-dominated forest
- Effects of wildfires and liming of pine-oak-heath communities in the Linville Gorge Wilderness, western North Carolina
- Indirect and direct estimation of forest biomass change using forest inventory and airborne laser scanning data.
XML: View XML