Dataset: Structural building damage mapped with use of remote sensing in the Ahr valley

DOI:10.4121/8f7a21d3-9bb9-4808-ae51-761eb3fba986.v1
The DOI displayed above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
DOI: 10.4121/8f7a21d3-9bb9-4808-ae51-761eb3fba986
Datacite citation style:
Samprogna Mohor, Guilherme; Koch, Oliver; Buhrmann, Aaron; Kirschbauer, Lothar; Thieken, Annegret et. al. (2025): Dataset: Structural building damage mapped with use of remote sensing in the Ahr valley . Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/8f7a21d3-9bb9-4808-ae51-761eb3fba986.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

Geolocation

Landkreis Ahrweiler, Rheinland-Pfalz, Deutschland [District of Ahrweiler, Rhineland-Palatinate, Germany]

Time coverage

Data collection: 2022-06 to 2023-04

Licence

ODbL-1.0

The following vector layer (ESRI Shapefile) encompasses 19507 polygons (buildings) in the Ahr Valley, Rhineland-Palatinate, Germany, having as attribute the structural damage grades, collected in the aftermath of the extreme event of July 2021.

The polygons were extracted from OpenStreetMap (OpenStreetMap contributors, 2022). Only the geometries were used.

The damage grades assessment to each building followed the classification scheme by Maiwald & Schwarz (2019) and was accomplished by visual assessment.

History

  • 2025-02-28 first online, published, posted

Publisher

4TU.ResearchData

Format

zipped shapefile

Funding

  • Project KAHR for Rhineland-Palatinate and North Rhine-Westphalia: Climate Adaptation, Flooding and Resilience (grant code 01LR2102I, 01LR2102D) German Federal Ministry of Education and Research (BMBF)

Organizations

University of Potsdam, Institute of Environmental Science and Geography;
Koblenz University of Applied Sciences, Department of Civil Engineering

DATA

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