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Forest degradation, a methodological approach usingremote sensing techniques: literature review

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par Jean-fiston Mikwa
Ghent University - Master 2011
  

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3.11. Estimating Forest Carbon Stocks from Remotely Sensed Data

Satellite imaging can tell us much about global carbon stocks, but there are limits to its accuracy. Dry biomass is approximately 47.to.55 percent carbon by weight (IPCC 2006), so aboveground b iomass estimates from remote sensing can be simply converted into aboveground carbon (AGC) stock estimates (Gibbs et al. 2007).

Carbon emissions from deforestation and degradation depend not only on the area of forest change but also on the associated biomass loss (Brown, 2002). The IPCC (Penman et al., 2003a) compiled methods and good practice guidance for determining changes in carbon stocks in association with national inventories of greenhouse gas (GHG) emissions (Chapter 3 in Penman et al., 2003a) for changes in Land Use, Land Use Change, and Forestry (LULUCF) and with carbon sequestration projects (Penman et al., 2003a) in the first commitment period. With the updated version of the IPCC guidelines for conducting national GHG emissions from the

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LULUCF sector (Penman et al., 2003a; IPCC, 2006), methods are available for estimating GHG emissions from deforestation at the national and project scales.

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