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Data Descriptor

Building Stock and Building Typology of Kigali, Rwanda

German Aerospace Center (DLR), Earth Observation Center (EOC), 82334 Wessling, Germany
Department of Geosciences, University of Tuebingen, 72070 Tuebingen, Germany
International Growth Centre (IGC), KG 12 Ave, Kigali 3004, Rwanda
Ministry of Infrastructure (MININFRA), Urbanization and Human Settlements Division, KG 7 Ave, Kigali 24, Rwanda
City of Kigali, Urban Planning and Construction One Stop Center Unit, KN 3 Ave, Kigali 3527, Rwanda
Author to whom correspondence should be addressed.
Data 2019, 4(3), 105;
Received: 5 June 2019 / Revised: 9 July 2019 / Accepted: 19 July 2019 / Published: 21 July 2019
This study uses very high-resolution Pléiades imagery for the densely built-up central part of the City of Kigali for the year 2015 in order to derive urban morphology data on building footprints, building archetypes and building heights. Aerial images of the study area from 2008–2009 were used in combination with the 2015 dataset to create a change monitoring dataset on a single building basis. A semi-automated approach was chosen which combined an object-based image analysis with an expert-based revision. The result is a geospatial dataset that detects 165,625 buildings for 2008–2009 and 211,458 for 2015. The dataset includes information on the type of changes between the two dates. Analysis of this geospatial dataset can be used for a range of research applications in economics and the social sciences, as well as a range of policy applications in urban planning and municipal finance administration. View Full-Text
Keywords: building inventory; building types; change detection; remote sensing; Kigali; Rwanda building inventory; building types; change detection; remote sensing; Kigali; Rwanda
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Graphical abstract

  • Supplementary File 1:

    ZIP-Document (ZIP, 38778 KiB)

  • Externally hosted supplementary file 1
    Doi: 10.5281/zenodo.3239271
    Description: The Supplementary Materials comes with a detailed description of the building archetypes (File 1), graphical illustrations of the dataset (File 2) and the spatial dataset EO4Kigali.shp. EO4Kigali.shp is an ESRI polygon Shapefile (*.shp), which can be read by common Geoinformation Systems (GIS). The dataset is projected in WGS 84 / UTM zone 36S (EPSG: 32736). The shapefile comes with a Layer file (*.lyr) that provides an optional symbology for ESRI ArcGIS software packages, a Styled Layer Descriptor (*.sld) that provides an optional symbology for other GIS tools, as well as a QGIS metadata file (*.qmd).
MDPI and ACS Style

Bachofer, F.; Braun, A.; Adamietz, F.; Murray, S.; d’Angelo, P.; Kyazze, E.; Mumuhire, A.P.; Bower, J. Building Stock and Building Typology of Kigali, Rwanda. Data 2019, 4, 105.

AMA Style

Bachofer F, Braun A, Adamietz F, Murray S, d’Angelo P, Kyazze E, Mumuhire AP, Bower J. Building Stock and Building Typology of Kigali, Rwanda. Data. 2019; 4(3):105.

Chicago/Turabian Style

Bachofer, Felix, Andreas Braun, Florian Adamietz, Sally Murray, Pablo d’Angelo, Edward Kyazze, Abias P. Mumuhire, and Jonathan Bower. 2019. "Building Stock and Building Typology of Kigali, Rwanda" Data 4, no. 3: 105.

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