Published June 16, 2024 | Version 1.0.0
Dataset Open

ETHOS.BUILDA: Building Footprint and Height Dataset Germany

Description

Introduction

This dataset contains all buildings in Germany with their footprint polygon and height. It is a partial dump of the ETHOS.BUILDA database (version v7_20240429). ETHOS.BUILDA is a database containing building-level data for the German building stock. It is based on various data sources that are combined and enriched with machine learning approaches to generate one consistent and complete building dataset. 

ETHOS.BUILDA is made available under the Open Database License (ODbL). The licenses of the contents of the database depend on the data source. The sources of the building attributes and information on the type of processing that was done to assign the information from the raw data to the building in ETHOS.BUILDA are provided for each individual data point.

Data structure and file overview

Building data is provided per federal state, the files are named according to the NUTS-1 region names. The building data has the following fields:

field name description
ID unique identifier of the building
source the source of the building footprint
footprint footprint polygon in WKT-format, EPSG:3035
height_m

value: height of the building in [m], 

source: source of the height data,

lineage: height assignment method

A mapping of the abbreviations of "source" and "lineage" of individual data points to the descriptions is provided in sources.csv and lineages.csv. There is no source entry for the source "v7_model.json" in the sources.csv file, as this refers to the internally trained machine learning model and not to an external dataset.

Acknowledgements

This work was supported by the Helmholtz Association under the program "Energy System Design". 

Furthermore, the authors would like to express their gratitude to the Federal Ministry for Economic Affairs and Climate Action (BMWK.IIB4) for providing the necessary resources to conduct this study. Our research was supported by the WAAGE Grant Program (Grant No. 03EI1044/03EE 5031D), and we appreciate their financial assistance.

Files

DE1.csv

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Additional details

Related works

Is described by
Preprint: 10.2139/ssrn.4791799 (DOI)
Is supplemented by
Dataset: 10.5281/zenodo.12069755 (DOI)
Is variant form of
Other: https://ethos-builda.fz-juelich.de/ (URL)