Show simple item record

dc.contributor.authorJoshi, Siddharth
dc.contributor.authorZakeri, Behnam
dc.contributor.authorMittal, Shivika
dc.contributor.authorMastrucci, Alessio
dc.contributor.authorHolloway, Paul
dc.contributor.authorKrey, Volker
dc.contributor.authorShukla, Priyadarsh Ramprasad
dc.contributor.authorO'Gallachoir, Brian
dc.contributor.authorGlynn, James
dc.date.accessioned2024-09-20T08:23:27Z
dc.date.available2024-09-20T08:23:27Z
dc.date.created2024-09-19T12:58:38Z
dc.date.issued2024
dc.identifier.citationScientific Data. 2024, 11, 1-21.en_US
dc.identifier.issn2052-4463
dc.identifier.urihttps://hdl.handle.net/11250/3153374
dc.description.abstractAssessment of current and future growth in the global rooftop area is important for understanding and planning for a robust and sustainable decentralised energy system. These estimates are also important for urban planning studies and designing sustainable cities thereby forwarding the ethos of the Sustainable Development Goals 7 (clean energy), 11 (sustainable cities), 13 (climate action) and 15 (life on land). Here, we develop a machine learning framework that trains on big data containing ~700 million open-source building footprints, global land cover, road, and population datasets to generate globally harmonised estimates of growth in rooftop area for five different future growth narratives covered by Shared Socioeconomic Pathways. The dataset provides estimates for ~3.5 million fishnet tiles of 1/8 degree spatial resolution with data on gross rooftop area for five growth narratives covering years 2020–2050 in decadal time steps. This single harmonised global dataset can be used for climate change, energy transition, biodiversity, urban planning, and disaster risk management studies covering continental to conurbation geospatial levels.en_US
dc.description.abstractGlobal high-resolution growth projections dataset for rooftop area consistent with the shared socioeconomic pathways, 2020–2050en_US
dc.language.isoengen_US
dc.publisherSpringer Natureen_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleGlobal high-resolution growth projections dataset for rooftop area consistent with the shared socioeconomic pathways, 2020–2050en_US
dc.title.alternativeGlobal high-resolution growth projections dataset for rooftop area consistent with the shared socioeconomic pathways, 2020–2050en_US
dc.typeJournal articleen_US
dc.typePeer revieweden_US
dc.description.versionpublishedVersionen_US
dc.source.pagenumber1-21en_US
dc.source.volume11en_US
dc.source.journalScientific Dataen_US
dc.identifier.doi10.1038/s41597-024-03378-x
dc.identifier.cristin2298953
dc.relation.projectEC/H2020/101081179en_US
dc.source.articlenumber563en_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record

Navngivelse 4.0 Internasjonal
Except where otherwise noted, this item's license is described as Navngivelse 4.0 Internasjonal