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2022-10-25Zeitschriftenartikel DOI: 10.18452/26221
High-resolution mapping of 33 years of material stock and population growth in Germany using Earth Observation data
dc.contributor.authorSchug, Franz
dc.contributor.authorFrantz, David
dc.contributor.authorWiedenhofer, Dominik
dc.contributor.authorHaberl, Helmut
dc.contributor.authorVirág, Doris
dc.contributor.authorvan der Linden, Sebastian
dc.contributor.authorHostert, Patrick
dc.date.accessioned2023-03-13T11:04:28Z
dc.date.available2023-03-13T11:04:28Z
dc.date.issued2022-10-25none
dc.identifier.urihttp://edoc.hu-berlin.de/18452/26903
dc.description.abstractGlobal societal material stock in buildings and infrastructure have accumulated rapidly within the last decades, along with population growth. Recently, an approach for nation-wide mapping of material stock at 10 m spatial resolution, using freely available and globally consistent Earth Observation (EO) imagery, has been introduced as an alternative to cost-intensive cadastral data or broad-scale but thematically limited nighttime light-based mapping. This study assessed the potential of EO data archives to create spatially explicit time series data of material stock dynamics and their relation to population in Germany, at a spatial resolution of 30 m. We used Landsat imagery with a change-aftereffect-trend analysis to derive yearly masks of land surface change from 1985 onward. Those served as an input to an annual reverse calculation of six material stock types and building volume-based annual gridded population, based on maps for 2018. Material stocks and population in Germany grew by 13% and 4%, respectively, showing highly variable spatial patterns. We found a minimum building stock of ca. 180 t/cap across all municipalities and growth processes characterized by sprawl. A rapid growth of stocks per capita occurred in East Germany after the reunification in 1990, with increased building activity but population decline. Possible over- or underestimations of stock growth cannot be ruled out due to methodological assumptions, requiring further research.eng
dc.language.isoengnone
dc.publisherHumboldt-Universität zu Berlin
dc.rights(CC BY 4.0) Attribution 4.0 Internationalger
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectbuildingseng
dc.subjectCAT transformeng
dc.subjectindustrial ecologyeng
dc.subjectinfrastructureeng
dc.subjectLandsateng
dc.subjectsocio-economic metabolismeng
dc.subjecttime series analysiseng
dc.subject.ddc550 Geowissenschaftennone
dc.titleHigh-resolution mapping of 33 years of material stock and population growth in Germany using Earth Observation datanone
dc.typearticle
dc.identifier.urnurn:nbn:de:kobv:11-110-18452/26903-5
dc.identifier.doihttp://dx.doi.org/10.18452/26221
dc.type.versionpublishedVersionnone
local.edoc.pages15none
local.edoc.type-nameZeitschriftenartikel
local.edoc.container-typeperiodical
local.edoc.container-type-nameZeitschrift
dc.description.versionPeer Reviewednone
dc.identifier.eissn1530-9290
dcterms.bibliographicCitation.doi10.1111/jiec.13343
dcterms.bibliographicCitation.journaltitleJournal of industrial ecologynone
dcterms.bibliographicCitation.volume27none
dcterms.bibliographicCitation.issue1none
dcterms.bibliographicCitation.originalpublishernameWiley-Blackwellnone
dcterms.bibliographicCitation.originalpublisherplaceOxford [u.a.]none
dcterms.bibliographicCitation.pagestart110none
dcterms.bibliographicCitation.pageend124none
bua.departmentMathematisch-Naturwissenschaftliche Fakultätnone

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