#2705 - Zone 1, Bidibidi Refugee Camp, Yumbe Area, Uganda, Camp - WatSan (Step 1)

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  • Author : Missing Maps / CartONG
  • Requesting organization : MSF
  • Priority : Medium
  • Imagery : Digital Globe

More than 400,000 persons have left South Sudan for Uganda since the beginning of the year 2016 (in November the average was reported to be 2000/day). The refugees are fleeing a terrible humanitarian situation at home, victims of killings, rape and sexual abuse, forced recruitment, looting and burning of villages, hunger and lack of access to medication, and more. 86% of them are women or children.

A few months only after its opening, the camp of Bidibidi (in Yumbe district) in Northern Uganda already hosts more than 250,000 refugees, known as one of the fastest growing refugee camps in the world. In these type of emergency settings it is extremely important to get information as recent and accurate as possible on the location of people & infrastructures, to understand their needs and plan the response.

Since the beginning of January this year, Alison, GIS Officer for MSF France, helps there on the mapping of the camp. Through the following short video, she gives us her feedback!

Through the MapGive project, the Humanitarian Information Unit (HIU) of the U.S. Department of State is providing the OpenStreetMap community access to updated satellite imagery services to help assist with humanitarian mapping.

Created by Violaine_Do - Updated - Priority: medium


Entities to Map
buildings, road network
Changeset Comment
#hotosm-project-2705 #Bidibidi #Uganda
When saving your work, please leave the default comment but add what you actually mapped, for example "added buildings and a residential road".

[imagery url available only after accepting the license]

Access to this imagery is limited by the NextView license agreement.

You need to review and acknowledge the agreement.

Please divide you task if yours is too dense!

Few images are available to help you understand the types of features of the camp.

Imagery details

You will use Digital Globe imagery for this area.

BE CAREFUL : The Digital Globe imagery is offset (in space) with respect to Bing imagery. As a result, you need to make adjustments:

  • In the ID editor: from the menu “Background settings” (shortcut, “B” key), choose “Adjust imagery offset”. Adjust the image visually.

  • In JOSM: from the menu “Imagery/New offset”, Adjust the image visually.

Digital Globe imagery is provided by WorldView satellites of Digital Globe from images taken on 1st of feb 2017. The images have been ortho-rectified to improve geographic precision and then enhanced. This imagery is made available via a Tiled Mapping Service (TMS) to improve performance.


You will need to map 2 different kind of shelters, please see here.

  • In the ID editor: label the area as “Building”, then correct for right angles with the “S” key

  • In JOSM: from the Tags/Memberships window, click “Add” and use the tag “building=yes”; then correct for right angles using the “Q” key

Road network

Roads should be identified with respect to their economic and social role, not in terms of their visibility/viability. The best way to approach this is to use the existing road network and its connections to towns and villages.

  • Inside of the camp please use highway=residential (with the exception of major roads) (in ID : choose "Residential road")

  • Outside of the camp please use highway=unclassified : or "Minor routes" : for those roads connecting villages and hamlets

You soudn't have to use :

  • highway=primary, highway=secondary or highway=tertiary : these are the main roads that connect towns. You shouldn’t need to create them for this project.

  • highway=track (roads or paths which connect fields only) and “highway=path”(roads too narrow for a 4-wheel drive vehicle to pass)

The most important thing is to maintain consistency in the network. Every road should connect to another of greater importance and not to isolated roads.

See the Wiki page Highway Africa Tag for more information on the cartography of route networks in Africa. For a concrete example, see the cartographic guide for route networks in S. Kivu

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