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                    <gmd:CI_Date>
                      <gmd:date>
                        <gco:Date>2010-12-08</gco:Date>
                      </gmd:date>
                      <gmd:dateType>
                        <gmd:CI_DateTypeCode codeList="http://standards.iso.org/iso/19139/resources/gmxCodelists.xml#CI_DateTypeCode" codeListValue="publication" />
                      </gmd:dateType>
                    </gmd:CI_Date>
                  </gmd:date>
                </gmd:CI_Citation>
              </gmd:specification>
              <gmd:explanation>
                <gco:CharacterString>See the referenced specification</gco:CharacterString>
              </gmd:explanation>
              <gmd:pass>
                <gco:Boolean>true</gco:Boolean>
              </gmd:pass>
            </gmd:DQ_ConformanceResult>
          </gmd:result>
        </gmd:DQ_DomainConsistency>
      </gmd:report>
      <gmd:lineage>
        <gmd:LI_Lineage>
          <gmd:statement>
            <gco:CharacterString>The World Settlement Footprint 3D Material Stock is based on the The World Settlement Footprint 3D Volume,Height and Area Datasets in combination with the Global Human Settlement Layer (GHSL) built-up surface grid residential/non-residential classification from the 
World Settlement Footprint 3D - Building Stock: The World Settlement Footprint 3D V02 - Building Volume, Height and Area 90m datasets are combined with the GHS-BUILT-S_NRES_GLOBE_R2023A urban/non-urban classification and country region specific material intensity (MI) factors.</gco:CharacterString>
          </gmd:statement>
          <gmd:processStep>
            <gmd:LI_ProcessStep>
              <gmd:description>
                <gco:CharacterString>World Settlement Footprint 3D - Material Stock Processing:
Processing:
The estimation of the Material Stock is based on multiplying the building volume from the global WSF3D Volume dataset with suitable material intensity (MI) factors of kg/m³. Buildings are categorized into 5 building type categories (lightweight, residential single/multi family houses, non residential and high rise) and country/region/class specific MI factors applied. 

Quality Assurance:
We assessed the robustness of the results by comparing them with other published material stock estimates and conducted a global sensitivity analysis.</gco:CharacterString>
              </gmd:description>
            </gmd:LI_ProcessStep>
          </gmd:processStep>
        </gmd:LI_Lineage>
      </gmd:lineage>
    </gmd:DQ_DataQuality>
  </gmd:dataQualityInfo>
</gmd:MD_Metadata>

