Fig. 3From: Modeling sub-boreal forest canopy bulk density in Minnesota, USA, using synthetic aperture radar and optical satellite sensor dataGround plot sampling design (2015 to 2016) to quantify coniferous forest fuel density for calibration with satellite sensor to enable mapping across the Superior National Forest, Minnesota, USA. Nine-point grid (black dots) at 5-m spacing are the canopy gap fraction (CGF) sample locations used to estimate coniferous fuel density. The central gray-shaded circle is a forest height-dependent fixed-radius plot (average area = 102 m2; standard deviation = 56.8 m2) for measurement of tree biophysical dimensions (species, bole diameter, crown spread, and height to first live branch). Field data are used to calculate both canopy bulk density (kg m−3) via the FuelCalc routine and to estimate understory (≤3 m above ground) coniferous biomass (kg m−2 of ground area)Back to article page