Mapping biomass with remote sensing: a comparison of methods for the case study of Uganda

Table 6 Total AGB using different combinations of biomass and spatial data

Biomass data	Spatial data	Total AGB (Tg)	Difference (%)	Fuzzy Numerical
NBS plots	NBS LC	468^a	-	-
	GLC2000+FAO GEZ	377	-19.5%	0.568
	GlobCover+FAO GEZ	363	-22.5%	0.565
	Landsat	343^b	-26.7%	0.608
IPCC Tier1	GLC2000+FAO GEZ	2,234	-	0.265
	GlobCover+FAO GEZ	2,191	-1.9%	0.292
	NBS LC	1,492	-33.2%	0.410

The values indicated with the symbol (^a) and (^b) are derived from [20] and [21], respectively. The table also reports the percentage difference of total AGB using different spatial dataset for each biomass reference data and the Fuzzy Numerical index. The Fuzzy Numerical index is computed by comparing each map with the NBS reference map (NBS plots + NBS LC) at 1 Km resolution

ISSN: 1750-0680