[HOT] Ebola Outbreak Guinea - West Africa, Mapping to support CartONG - MSF-CH - Red Cross

[Pierre Béland]

As the Ebola Outbreak is expanding in the neighboring countries, humanitarians need various geographic information. We started this activation to respond to CartONG - MSF-CH needs. And now the US Red Cross is asking to add more cities to respond to needs of teams deploying in other areas.

The OSM contributors response to map in detail the various towns was fantastic so far. Note that new Task Manager Jobs are still added fot this.

In the rural areas where no Bing Imagery is available, we use the Landsat Imagery prepared by Jean-Guilhem to identify the landuse areas. We are asking the contributors to circle the residential areas and create a landuse area polygon.  Study made by Andrew Buch shows that we can use information about surface of a village to estimate is population.
 This information can be very useful for the humanitarian organizations working on these territories.

It would be important also to take care of the highway network. This again can be done using the Landsat imagery. We are asking the more experienced mappers to go through the territory and trace the road network.

Cumulatives statistics from March 25 up  March 28, midnight (3 days) show a significant effort from the OSM community : 182OSM contributors, 520,000 objects, 62,600 buildings

Thanks again  all the contributors.


 
Pierre 

Andrew notes about Landsat Imagery 

tms[19]:http://imagery.openstreetmap.fr/tms/1.0.0/guinee_c10_l8_pxs432/{zoom}/{x}/{y}

tms[19]:http://imagery.openstreetmap.fr/tms/1.0.0/guinee_c10_l8_pxs753/{zoom}/{x}/{y}

The best way I have found to use these is to load them both into
      JOSM
with the 753 layer listed above the 432 layer.  Then, turn down
      the
opactiy (transparency) on the 753 layer to about 50 to 60 percent
      and
you should see the villages look quite apparent.  To start with
      just
try this in an area where a lot of villages are already mapped to
      get
a sense for how to set up the imagery layers and what to look for.
Basically, the villages will be a bright pinkish hue with a kind
      of
"shimmering" look from the 432 layer underneath.
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://lists.openstreetmap.org/pipermail/hot/attachments/20140329/f8fb9a24/attachment.html>