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An integrated pan-tropical biomass map using multiple reference datasets.

Valerio Avitabile1, Martin Herold1, Gerard B M Heuvelink1

  • 1Centre for Geo-Information, Wageningen University, Droevendaalsesteeg 3, 6708PB, Wageningen, The Netherlands.

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Summary
This summary is machine-generated.

This study fused vegetation aboveground biomass (AGB) datasets into a pan-tropical map, revealing lower AGB stock estimates and improved accuracy compared to previous maps. The new map offers better spatial detail for forest carbon assessments.

Keywords:
REDD+aboveground biomasscarbon cycleforest inventoryforest plotsremote sensingsatellite mappingtropical forest

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Area of Science:

  • Ecology
  • Remote Sensing
  • Forestry

Background:

  • Existing vegetation aboveground biomass (AGB) datasets have limitations in accuracy and spatial resolution.
  • Accurate AGB mapping is crucial for understanding forest carbon stocks and climate change impacts.

Purpose of the Study:

  • To create a pan-tropical AGB map at 1-km resolution by fusing two existing AGB datasets.
  • To improve the accuracy and spatial representation of tropical AGB estimates.

Main Methods:

  • A data fusion approach combining bias removal and weighted linear averaging was employed.
  • The method integrated independent field observations and locally calibrated high-resolution biomass maps.
  • Input maps were processed independently within strata defined by homogeneous error patterns.

Main Results:

  • A fused pan-tropical AGB map was generated, estimating tropical AGB stock at 375 Pg dry mass, 9-18% lower than previous estimates.
  • The fused map exhibited improved spatial patterns, with higher AGB density in dense forests (Congo, Amazon, SE Asia) and lower values in drier regions.
  • Validation showed the fused map had 15-21% lower RMSE and nearly unbiased estimates compared to input maps.

Conclusions:

  • The developed data fusion method provides more accurate and reliable AGB estimates.
  • This approach can be applied at various scales, including national levels, for improved biomass assessments.
  • The enhanced AGB map offers valuable data for carbon accounting and climate change research.