Published June 4, 2019 | Version V2.0
Dataset Open

Ouagadougou land use map at street block level


This datatset contains a land use classification of Ouagadougou (Burkina Faso) at the street block level. It was created following the methodology presented in [1].

Description of the files:

  • "Ouagadougou_landuse.gpkg" : GeoPackage with two layers: (1) layer of the street blocks extracted from OpenStreetMap using [2] with classification results in the attribute table. (2) layer with manual correction made by GEORGANOS Stefanos (
  • "" : Files for style for rendering in QGIS.

Attribute table content:

  • "CAT", "GID" : ID of the street block
  • "PROB_ACS" : Probability to belong to class ACS
  • "PROB_BARE" : Probability to belong to class BARE
  • "PROB_PLAN" : Probability to belong to class PLAN
  • "PROB_UNPLA" : Probability to belong to class UNPLAN
  • "PROB_VEG" : Probability to belong to class VEG
  • "FIRST_LABE" : Class with the highest classification probability
  • "SEC_LABEL" : Class with the second highest classification probability
  • "FIRST_PROB" : Value of the highest classification probability
  • "SEC_PROB" : Value of the second highest classification probability
  • "UNCERTAIN" : Difference between "FIRST_PROB" and "SEC_PROB"
  • "BUILT_PERC" : Percentage of the street blocks covered by built-up (from land cover map)
  • "MAP_LABEL" : Final classification label with uncertainty and different density classes. Depending on the layer, the label is with or without manual corrections

Legend classes label:

  • "VEG" : Vegetation
  • "BARE" : Bare soils
  • "ACS" : Non-residential built-up (administrative, commercial, services, etc.)
  • "PLAN" : Planned residential built-up
  • "PLAN_LD" : Planned residential low density built-up
  • "UNPLAN" : Unplanned residential built-up
  • "UNPLAN_LD" : Unplanned residential low density built-up
  • "UNCERT" : Uncertain classification
  • "WET" : Wetlands
  • "AGRI" : Agricultural land


[1] Grippa, Tais, 2018, "Mapping urban land use at street block level using OpenStreetMap, remote sensing data and spatial metrics", ISPRS Int. J. Geo-Inf. 20187(7), 246. 

[2] Grippa, Tais. 2018. “Osm Street Blocks Extraction.” Zenodo.


This dataset was produced in the frame of two research project : MAUPP ( and REACT (, funded by the Belgian Federal Science Policy Office (BELSPO).


The production of this dataset was founded by BELSPO (Belgian Federal Science Policy Office) in the frame of the STEREO III program, as part of the MAUPP (SR/00/304) and REACT (SR/00/337) project ( and


Files (32.1 MB)

Name Size Download all
32.1 MB Download
10.0 kB Preview Download

Additional details

Related works