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Table 2 Main characteristics of the Amazon forest AGB density maps

From: Mapping data gaps to estimate biomass across Brazilian Amazon forests

MapScaleSpatial resolutionTemporal scale (year)Field forest plots/ sourceStudy area plots/ sampled area (ha)Remote Sensing products/ other inputsModel
Saatchi et al. (2011)Pantropical1 km20004079b (493 for calibration)/ Many sources~ 707/ ~1770dMODIS (NDVI, LAI, % tree cover), LiDAR from GLAS/Forest height mapMaxEnt
Baccini et al. (2012)Pantropical500 m2007–2008283b/ MeasuredNo DataMODIS, LiDAR from GLAS, SRTMRandom Forest
Nogueira et al. (2015)Brazilian Amazon1 km (landscape level)1970a2317c/ RadamBrasil and literature2373/ 2317No/ Vegetation map (SIVAM 2002) None
MCT (2016)Brazilian Amazon1 km (landscape level)1973–1983a1682 plots/ RadamBrasil1682/ 1682No/ Vegetation (MCT 2010), Soils (Bernoux et al. 2002)Inverse distance weighting
Avitabile et al. (2016)Pantropical1 km2000–2013a648/ RAINFOR, TEAM and Sustainable Landscapes~ 500/ No dataNo/ High-resolution AGB mapsFusion model
  1. Source: Based on Tejada et al. (2019)
  2. RAINFOR Amazon Forest Inventory Network, TEAM Tropical Ecology, Assessment and Monitoring, MODIS moderate resolution imaging spectroradiometer, NDVI normalized difference vegetation index, LAI leaf area index, GLAS Geoscience Laser Altimeter System, LiDAR light detection and ranging, SRTM Shuttle Radar Topography Mission, and JERS-1 Japanese Earth Resources Satellite 1
  3. aAGB field measurements
  4. bwe did not have access to the locations of the plots
  5. cin the case of the RadamBrasil plots, we had the location of only 1682 plots
  6. dthe total area of the plots was estimated because the plots had different sizes