Assessing Technologies to Accelerate the Process of Monitoring, Reporting, and Verifying Emission Reductions Programs
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Washington, DC: World Bank
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This study explored the use of a
state-of-the-art collection of high-quality in situ
datasets, following best practices13 to inform biomass
estimates derived through remote sensing. The intention was
to circumvent (1) the challenge of extrapolating data
coverage from plot-level to satellite-level (for example,
for the entire ERP area) and (2) the limitations of using
allometric equations to estimate biomass from national
forest inventories. The ASA also explored a novel method of
creating data synergies within a 50,000-hectare (ha) region
of interest. It was expected that these processes would
improve the accuracy and bias of estimates so they could be
extrapolated to the larger ERP area with the support of
colleagues from Sylvera.
Palabras clave
BIOMASS ESTIMATES, EXTRAPOLATING DATA COVERAGE, NATIONAL FOREST INVENTORIES, LIFE ON LAND, CLIMATE ACTION