Analyzing and improving the quality and fitness for purpose of OpenStreetMap as labels in remote sensing applications

dc.contributor.author	Schultz, Michael	de_DE
dc.date.accessioned	2024-03-13T07:41:37Z
dc.date.available	2024-03-13T07:41:37Z
dc.date.issued	2023	de_DE
dc.identifier.uri	http://hdl.handle.net/10900/151843
dc.language.iso	en
dc.relation.uri	https://doi.org/10.1007/978-3-031-35374-1_2	de_DE
dc.title	Analyzing and improving the quality and fitness for purpose of OpenStreetMap as labels in remote sensing applications	de_DE
dc.type	BookPart	de_DE
utue.personen.pnd	Lautenbach, Sven/29856811X	de_DE
utue.personen.pnd	Schultz, Michael/370893107	de_DE
utue.personen.pnd	Zipf, Alexander/175641056	de_DE
utue.publikation.seiten	21-42	de_DE
utue.personen.roh	Schott, Moritz	de_DE
utue.personen.roh	Zell, Adina	de_DE
utue.personen.roh	Lautenbach, Sven	de_DE
utue.personen.roh	Sümbül, Gencer	de_DE
utue.personen.roh	Schultz, Michael	de_DE
utue.personen.roh	Zipf, Alexander	de_DE
utue.personen.roh	Demir, Begüm	de_DE
utue.publikation.buchdesbeitrags	Volunteered Geographic Information - 1st ed. 2024. - Cham : Springer Nature Switzerland, 2024	de_DE
utue.titel.verfasserangabe	Moritz Schott, Adina Zell, Sven Lautenbach, Gencer Sumbul, Michael Schultz, Alexander Zipf, and Begüm Demir	de_DE
utue.publikation.abrufzeichen	t017	de_DE
utue.publikation.swbdatum	2402	de_DE
utue.artikel.ppn	188160425X	de_DE