#3048 - 2017 Ebola outbreak in Bas-Uele, Likati, DRC (Proj. 9) (Archived)

Please donate!
Boggedy validated #80

Boggedy validated #86

Boggedy validated #89

Boggedy validated #83

Boggedy validated #73

Boggedy validated #103

Boggedy validated #106

Boggedy validated #107

milet validated #98

milet validated #96

Boggedy validated #91

Boggedy validated #109

Boggedy validated #132

Boggedy validated #105

Boggedy validated #90

Boggedy validated #78

Boggedy validated #138

Boggedy validated #137

Boggedy validated #139

Boggedy validated #50

This project was archived.

  • Author: HOT & OSM-CD (with DigitalGlobe support)
  • Requesting organization: Various
  • Priority: Urgent

There have been 37 suspect cases of ebola in the Bas-Uele, Democratic Republic of Congo.

This urgent task is set up to help the DLM, INRB and other organisations to respond efficiently to the outbreak. Detailed maps of road networks, human settlements, and health facilities in the outbreak area are crucial for them to be able to properly deploy in the area.

This recent (Aug. 2016) satellite imagery is kindly made available by Digital Globe to support the emergency response.

Likati town was mapped a few days ago through mapping project #3009. However, the lack of contrast of the available imagery at that time made the mapping quite complex and a number of buildings have been missed. Therefore, the current task aims to review and improve the mapping of this highly important area for the response to this outbreak.

Created by clairedelune - Updated - Priority: medium

  Instructions

Entities to Map
buildings
Changeset Comment
2017 Ebola outbreak, mapping buildings in Likati, Bas-Uele #DRC #hotosm-project-3048 #OSM-CD ; source=DigitalGlobe
When saving your work, please leave the default comment but add what you actually mapped, for example "added buildings and a residential road".
Imagery

[imagery url available only after accepting the license]

Access to this imagery is limited by the DigitalGlobe Satellite EULA license agreement.

You need to review and acknowledge the agreement.


Likati town was mapped a few days ago through mapping project #3009. However, the lack of contrast of the available imagery at that time made the mapping quite complex and a number of buildings have been missed. Therefore, the current task aims to review and improve the mapping of this highly important area for the response to this outbreak.

Using the Digital Globe Imagery provided (it should be loaded automatically into JOSM or iD), please add missing buildings and correct existing objects. Imagery used in previous task #3009 was taken in December 2016. Current imagery is from August 2016. It is therefore possible that some traced buildings could not be visible on the image used here. If you use JOSM, you could check this if needed, by manually adding this TMS : tms[22]:https://api.mapbox.com/v4/hot.4wox8z8e,hot.2korhca9/{z}/{x}/{y}.png?access_token=pk.eyJ1IjoiaG90IiwiYSI6ImNqMnNhanp4dTAwNTgyd2p4MHVwb2I4aGkifQ.I6cs8H7_qjZn95-6oasw-g

Please avoid deleting buildings previously traced, but correct them in order to improve the quality of the data in this area.

Commonly used tags

Buildings

Buildings are generally round or rectangular be tagged as Building Features=Building in iD and building=yes in JOSM. There are keyboard shortcuts for creating the shapes.

In iD for tracing circular shapes, use the O key and for rectangular buildings, use the S key).

In JOSM for round huts, use the O key and for rectangular buildings, use the Q key.

Major roads:

  • highway=residential inside residential boundaries
  • highway=track only goes to farmland
  • highway=path, narrow footpaths, not even a 4x4 can get down this

If road networks already exist, but do not follow the satellite imagery accurately, please adjust accordingly. As there is a lot of jungle in this area it may be hard to see the roads. Please do as best you can.

There is a training video on how to map roads in OpenStreetMap here.

Other resources

See Highway Africa Tag page for advice on tagging roads. See the OSM map features page for more information on OSM tagging.

  Start contributing

Contributors Done Assigned