Model-assisted estimation of biomass in a LiDAR sample survey in Hedmark County, NorwayThis article is one of a selection of papers from Extending Forest Inventory and Monitoring over Space and Time.

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Geostatistical estimation of forest biomass in interior Alaska combining Landsat-derived tree cover, sampled airborne lidar and field observations (2017, methodology): “Concerning the use of incomplete spatial coverage lidar, studies employing model-assisted estimators within a design-based inferential paradigm have been proposed that assume multi-phase data collection schemes (Gregoire et al., 2011; Saarela et al., 2015; Gregoire et al., 2016).”
Adapting National Forest Inventories to changing requirements - the case of the Swedish National Forest Inventory at the turn of the 20th century (2014, methodology): “This includes techniques both for observation through remote sensing (e.g. Gregoire et al. 2011; Næsset et al. 2013) and through field survey.”
A survey of remote sensing-based aboveground biomass estimation methods in forest ecosystems (2016, methodology): “…infer the population parameters (e.g. mean and variance) of the biomass over a study area using lidar-estimated biomass as samples (Andersen et al. 2014; d’Oliveira et al. 2012; Gregoire et al. 2011; McRoberts et al. 2013; Næsset et al. 2011, 2013a, 2013b; Nelson et al. 2012; Strunk et al. 2012).”