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                        <gco:CharacterString>Data is complete as of publication.</gco:CharacterString>
                    </measureDescription>
                    <result gco:nilReason="missing"/>
                </DQ_CompletenessOmission>
            </report>
            <report>
                <DQ_QuantitativeAttributeAccuracy>
                    <measureDescription>
                        <gco:CharacterString>A complete comparative assessment of these raster data, relative to FIA field plot data, can be found in: Wilson, Barry Tyler; Woodall, Christopher W.; Griffith, Douglas M. 2013. Imputing forest carbon stock estimates from inventory plots to a nationally continuous coverage. Carbon Balance and Management. 8:1.</gco:CharacterString>
                    </measureDescription>
                    <result gco:nilReason="missing"/>
                </DQ_QuantitativeAttributeAccuracy>
            </report>
            <report>
                <DQ_AbsoluteExternalPositionalAccuracy>
                    <measureDescription>
                        <gco:CharacterString>Several other raster datasets were used in the development of these data, along with FIA field plot data. Uncertainty in the geographic registration in each of these data sources will contribute to the positional accuracy of the final product. Overall horizontal positional accuracy is expected to be within 1 pixel in either dimension (i.e. 250 meters).</gco:CharacterString>
                    </measureDescription>
                    <result gco:nilReason="missing"/>
                </DQ_AbsoluteExternalPositionalAccuracy>
            </report>
            <lineage>
                <LI_Lineage>
                    <processStep>
                        <LI_ProcessStep>
                            <description>
                                <gco:CharacterString>The methodology utilized outputs from an ecological ordination model that related live tree measurements made on FIA field plots (response variables) with the associated environmental factors (predictor variables) at each plot location, such as seasonal temperatures and precipitation from the Daymet model, landscape position from the Elevation Derivatives for National Applications dataset, USEPA Level III ecological regions, and vegetation phenology derived from MODIS satellite imagery. These outputs, along with tree canopy cover information from the National Land Cover Dataset, were used to impute forest carbon stock estimates derived for individual field plots to each pixel in the raster map.</gco:CharacterString>
                            </description>
                            <dateTime>
                                <gco:DateTime>2013-01-01T00:00:00</gco:DateTime>
                            </dateTime>
                        </LI_ProcessStep>
                    </processStep>
                    <processStep>
                        <LI_ProcessStep>
                            <description>
                                <gco:CharacterString>A complete description of the mapping methodology, including data sources used, can be found in: Wilson, Barry Tyler; Woodall, Christopher W.; Griffith, Douglas M. 2013. Imputing forest carbon stock estimates from inventory plots to a nationally continuous coverage. Carbon Balance and Management. 8:1.</gco:CharacterString>
                            </description>
                            <dateTime>
                                <gco:DateTime>2013-01-01T00:00:00</gco:DateTime>
                            </dateTime>
                        </LI_ProcessStep>
                    </processStep>
                </LI_Lineage>
            </lineage>
        </DQ_DataQuality>
    </dataQualityInfo>
</MD_Metadata>
