Quantification of uncertainty in aboveground biomass estimates derived from small-footprint airborne LiDAR
Sign Up to like & getrecommendations! Published in 2018 at "Remote Sensing of Environment"
DOI: 10.1016/j.rse.2018.07.022
Abstract: Abstract To address uncertainty in biomass estimates across spatial scales, we determined aboveground biomass (AGB) in Californian forests through the use of individual tree detection methods applied to small-footprint airborne LiDAR. We propagated errors originating… read more here.
Keywords: uncertainty; biomass estimates; agb; aboveground biomass ... See more keywords
Biomass estimation from simulated GEDI, ICESat-2 and NISAR across environmental gradients in Sonoma County, California
Sign Up to like & getrecommendations! Published in 2020 at "Remote Sensing of Environment"
DOI: 10.1016/j.rse.2020.111779
Abstract: Abstract Estimates of the magnitude and distribution of aboveground carbon in Earth's forests remain uncertain, yet knowledge of forest carbon content at a global scale is critical for forest management in support of climate mitigation.… read more here.
Keywords: biomass; reference; biomass estimates; icesat nisar ... See more keywords
Applying terrestrial lidar for evaluation and calibration of airborne lidar-derived shrub biomass estimates in Arctic tundra
Sign Up to like & getrecommendations! Published in 2017 at "Remote Sensing Letters"
DOI: 10.1080/2150704x.2016.1246770
Abstract: ABSTRACT Monitoring of climate-driven expansion of low-stature shrubs in Arctic tundra can be improved through application of high-resolution remote sensing. However, the destructive nature of harvest sampling that is usually performed for validation of these… read more here.
Keywords: biomass; derived shrub; biomass estimates; shrub biomass ... See more keywords
Variability and uncertainty in forest biomass estimates from the tree to landscape scale: the role of allometric equations
Sign Up to like & getrecommendations! Published in 2020 at "Carbon Balance and Management"
DOI: 10.1186/s13021-020-00143-6
Abstract: Background Biomass maps are valuable tools for estimating forest carbon and forest planning. Individual-tree biomass estimates made using allometric equations are the foundation for these maps, yet the potentially-high uncertainty and bias associated with individual-tree… read more here.
Keywords: uncertainty; error; allometric equations; landscape scale ... See more keywords