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Table 1 Main characteristics of the biomass and C maps used for the comparative study

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

Map Coverage Format Spatial resolution/VMMU Number of classes Pool Variable Biomass data Spatial data Ancillary data Period Approach
NBS [20] Uganda Vector 4 - 50 ha 48 Aboveground Biomass NBS Field data NBS LC map NBS Ecozone map circa-2000 CA
Avitabile [21] Uganda Raster 30 × 30 m 376 Aboveground Biomass subset of NBS Field data Landsat None 1999-2003 DR+
Baccini [15] Tropical Africa Raster 1 × 1 Km 343 Aboveground Biomass Field data MODIS None 2000-2003 DR
Drigo [12] Eastern Africa Vector 40 - 120 ha 143 Aboveground Biomass Biome average Africover FAO GEZ circa-2000 CA
Gibbs & Brown [14] Tropical Africa Raster 5 × 5 Km 176 Above and belowground Biomass Biome average GLC2000 CIESIN Population 2000 CA
Henry [4] sub-Saharan Africa Raster 300 × 300 m 346 Aboveground Carbon Field data Globcover FAO GEZ, MODIS VCF 2005 CA+
Reusch & Gibbs [17] Global Raster 1 × 1 Km 14 Above and belowground Carbon IPCC Biome average GLC2000 FAO GEZ, Frontier forest map 2000 CA
  1. The spatial resolution of vector-based maps is given by a Variable Minimum Mapping Unit (VMMU), which is class-specific. The NBS map used in this study was derived from the NBS LC map by applying to each stratum its respective average biomass density reported in Drichi [21]. The spatial datasets used by the biomass/C maps included the Africover LC map [36], the Global Land Cover map for the year 2000 (GLC2000) [37], the Globcover 2005 map [38], the Food and Agriculture Organization (FAO) Global Ecological Zone (GEZ) map [30], the MODIS Vegetation Continuous Field (VCF) tree cover products [39], the CIESIN's Gridded Population of the World dataset [40] and the Frontier Forest map [41]. The number of biomass classes of the maps with continuous values was calculated after their conversion to integer values (i.e. classes of 1 Mg ha-1 interval).
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