Sentence examples for mapping of deforestation from inspiring English sources

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).

Mighty Earth collected cocoa import-export data and maps of regions where cocoa is grown and layered it over maps of deforestation between 2000 and 2016.

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.

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.

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.

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].

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.

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].

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.

Progress has been made by the Global Forest Change program [12], and recent initiatives such as mapping of annual deforestation rate using Landsat data in the Congo basin [13], Sumatra [14], Colombia [15] and Peru [16] are also notable in this context.