User: Guest  Login
Title:

Bavaria Building Dataset (BBD)

Document type:
Forschungsdaten
Publication date:
27.10.2023
Responsible:
Werner, Martin
Authors:
Werner, Martin; Li, Hao; Zollner Max, Teuscher, Balthasar
Author affiliation:
TUM
Publisher:
TUM
Identifier:
doi:10.14459/2023mp1709451
End date of data production:
15.05.2023
Subject area:
BAU Bauingenieurwesen, Vermessungswesen; DAT Datenverarbeitung, Informatik; GEO Geowissenschaften; UMW Umweltwissenschaften
Resource type:
Experimente und Beobachtungen / experiments and observations; Abbildungen von Objekten / image of objects; Statistik und Referenzdaten / statistics and reference data
Data type:
Bilder / images; mehrdimensionale Visualisierungen oder Modelle / models; Datenbanken / data bases
Description:
The Bavarian Building Dataset (BBD) is an analysis-ready dataset providing an openly available 40cm image dataset over Bavaria (CC-BY4.0, Digitales Ortophoto 40cm - DOP40, https://geodatenonline.bayern.de/) combined with building footprint information as GIS data (Shapefiles) and co-registered imagery. This data has been taken from official building footprints as published openly (CC-BY 4.0, Hausumringe, https://geodaten.bayern.de/). In addition, our dataset contains building footprint geometry...     »
Method of data assessment:
The data was processed using a geospatial data processing engine in order to bring the original datasets into an analysis-ready representation suitable for adoption by communities and computational environments that do not model the geospatial aspects. Concretely speaking, images have been manually processed, the cartographic rendered mapnik has been used to transform geodatabases into georeferenced images, and Ohsome API was used to create a snapshot of OpenStreetMap information from a suitable...     »
Links:

Further information: https://www.bgd.ed.tum.de/datasets/bbd

Key words:
Image Analysis; Building Detection; Geospatial Information Science; Urban Computing; Benchmark Dataset
Technical remarks:
View and download (353 GB total, 16 Files)
The data server also offers downloads with FTP
The data server also offers downloads with rsync (password m1709451):
rsync rsync://m1709451@dataserv.ub.tum.de/m1709451/
Language:
en
Rights:
by, http://creativecommons.org/licenses/by/4.0
 BibTeX