Deep Learning-Based Generation of Building Stock Data from Remote Sensing for Urban Heat Demand Modeling

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datacite.relatedItem.firstPage23
datacite.relatedItem.issue1
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datacite.relatedItem.relatedItemIdentifier2220-9964
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datacite.relatedItem.titleIJGI
datacite.relatedItem.volume10
dc.contributor.authorMichael Wurm
dc.contributor.authorAriane Droin
dc.contributor.authorThomas Stark
dc.contributor.authorChristian Geiß
dc.contributor.authorWolfgang Sulzer
dc.contributor.authorHannes Taubenböck
dc.date.accessioned2025-05-14T12:03:51Z
dc.date.available2025-05-14T12:03:51Z
dc.date.issued2021
dc.identifier.doihttps://doi.org/10.3390/ijgi10010023
dc.identifier.otherjz000145-0023
dc.identifier.urihttps://tustorage.ulb.tu-darmstadt.de/handle/tustorage/19878
dc.publisherMDPI AG
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subject.ddc550
dc.titleDeep Learning-Based Generation of Building Stock Data from Remote Sensing for Urban Heat Demand Modeling
dc.typeArticle
dcat.distribution.pdfhttps://tustorage.ulb.tu-darmstadt.de/handle/tustorage/19879
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