Estimating urban above ground biomass with multi-scale LiDAR

Table 3 Tree structure metrics and AGB estimates generated from TLS

Location	Trees			DBH		Tree height (m)		Projected crown area (m²)			Tree volume (m³)^a		AGB (Mg ha^–1)^c
Location	N	\(\rho\) (ha\(^{-1}\))	QSM	Mean	Max	Mean	Max	Mean	Max	\(\sum\)	Mean^b	Max	Local	Borough-wide
Russell Square	78	30.4	25	0.78	1.65	20.6	34.1	214.2	694.0	16068	12.3 ± 4%	46.8	201.6 ± 2.2	193.3 ± 1.8
Malet Street	30	38.5	25	0.52	0.76	19.8	26.1	168.2	349.6	5047	6.4 ± 3%	14.3	124.8 ± 1.1	180.2 ± 2.9
St Pancras	97	38.2	9	0.60	1.55	24.7	33.9	214.4	871.9	20799	15.8 ± 7%	44.4	244.7 ± 10.5	258.8 ± 2.7
Highgate Cemetery	180	385.9	40	0.24	0.78	15.9	29.9	36.7	268.0	6604	1.2 ± 6%	8.0	276.3 ± 10.1	485.3 ± 7.6

As the volume of all TLS extracted trees could not be calculated confidently, AGB values are calculated using locally and Borough-wide derived allometry. It should be noted that AGB values are for inter-comparison purposes only and are not representative of likely AGB densities in a 1 ha area, for example, Malet Street is located in a highly developed area which is mostly devoid of trees
^a Tree volumes are for QSM trees only
^b 95% confidence level
^c P. acerifolia wood density value used except for Highgate Cemetery where F. excelsior was more common

ISSN: 1750-0680