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Nestlé mapped its supply chains, and last year, after six months of research, it published the first global maps of deforestation that went beyond the national level so suppliers, competitors, and NGOs could use them.
Therefore remote sensing can provide regional estimates of biomass change or fine scale maps of deforestation, but it cannot yet be said to truly determine the intensity of forest degradation across scales [13].
To this end, we developed a Genetic Algorithm tool and applied it to optimize probability maps of deforestation generated from the Weights of Evidence method for 12 case-study sites in the Brazilian Amazon.
While these approaches may be excellent for estimating forest carbon stock changes, they cannot provide maps of deforestation and other forest carbon stock changes.
Therefore remote sensing can provide regional estimates of biomass change or fine scale maps of deforestation, but it cannot yet be said to truly determine the intensity of forest degradation across scales [ 13].
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A complete coverage map of deforestation within the Brazilian Legal Amazon (BLA) is used as a population to evaluate precision of regional estimates obtained by augmenting a global stratified random sample.
We employ a well-established tool and approach historically used for species habitat modeling, the maximum entropy model available in Maxent, to assess the relationship between deforestation and its assumed explanatory variables [12] and to produce a map of deforestation habitat likelihood as a proxy to deforestation risk under a business-as-usual (BAU) scenario.
We employ a well-established tool and approach historically used for species habitat modeling, the maximum entropy model available in Maxent, to assess the relationship between deforestation and its assumed explanatory variables [ 12] and to produce a map of deforestation habitat likelihood as a proxy to deforestation risk under a business-as-usual (BAU) scenario.
Accurate estimation, however, still faces major challenges: indeed, in a comparison of estimates of carbon emissions from deforestation in the Amazon, the biggest cause of discrepancies between estimates was found to be due to carbon mapping, higher than the uncertainty in the mapping of deforestation (Gutierrez-Velez & Pontius, 2012).
"Maps of tropical deforestation are generally not available outside of the scientific community and government agencies," says Gaveau.
In an attempt to improve environmental governance of Sumatra's once-extensive tropical forests, a publicly accessible Web site showing detailed maps of widespread deforestation on the Indonesian island over the past few decades has just been launched.
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