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Dear All,<br>
<br>
The Landsat-8 mosaics have been extended to 22 images, and now cover
all of Guinea and of Sierra Leone (in addition to the same parts of
Liberia as before, and border areas of other neighboring countries).<br>
<br>
The URL are unchanged. You may need to refresh your cache to view
the new version.<br>
<br>
Best wishes,<br>
<br>
Jean-Guilhem<br>
<br>
<br>
Le 28/03/2014 15:14, Andrew Buck a écrit :<br>
<blockquote type="cite">Hello again everyone,<br>
<br>
The task manager jobs for all of the main cities are coming along
very<br>
nicely. I have been amazed at how quickly the community responded
to<br>
these jobs.<br>
<br>
In addition to the jobs in the cities, there is also some mapping
that<br>
needs to be done over a wider area for context. In order to help<br>
understand, model, and predict the spread of the disease it is
useful<br>
to have population data for all of the villages and also road
networks<br>
to help understand where infected people who travel might have<br>
traveled through. We can help with both of these issues using the<br>
combination of what high resolution imagery we have (Bing,
Pleiades,<br>
Orbview, etc), as well as some very recent LandSat 8 imagery over
the<br>
entire affected area in 2 different color combinations. These
Landsat<br>
layers were put online by JGC and show natural color in the "432"<br>
image and a traditional "false color" image in the 753 layer
listed<br>
below. Both of these image layers were taken at the exact same
time,<br>
however the 753 layer shows the area in 3 different infra-red
colors.<br>
By using these two layers together it is possible to tell apart<br>
objects that are the same color (like a village with brown roofs,
vs a<br>
brown field). In these images villages will appear brown in the
432<br>
layer and bright pink in the 753 layer.<br>
<br>
tms[19]:<a class="moz-txt-link-freetext" href="http://imagery.openstreetmap.fr/tms/1.0.0/guinee_c10_l8_pxs432/">http://imagery.openstreetmap.fr/tms/1.0.0/guinee_c10_l8_pxs432/</a>{zoom}/{x}/{y}<br>
<br>
tms[19]:<a class="moz-txt-link-freetext" href="http://imagery.openstreetmap.fr/tms/1.0.0/guinee_c10_l8_pxs753/">http://imagery.openstreetmap.fr/tms/1.0.0/guinee_c10_l8_pxs753/</a>{zoom}/{x}/{y}<br>
<br>
The best way I have found to use these is to load them both into
JOSM<br>
with the 753 layer listed above the 432 layer. Then, turn down
the<br>
opactiy (transparency) on the 753 layer to about 50 to 60 percent
and<br>
you should see the villages look quite apparent. To start with
just<br>
try this in an area where a lot of villages are already mapped to
get<br>
a sense for how to set up the imagery layers and what to look for.<br>
Basically, the villages will be a bright pinkish hue with a kind
of<br>
"shimmering" look from the 432 layer underneath.<br>
<br>
Hopefully we can get maybe 5 to 10 people working on this over the<br>
whole area we have Landsat for. I don't think it is worth
creating<br>
such a huge job on the task manager for this since it is such a
broad<br>
area. Just try to upload (and update) once every 1/2 hour or so.<br>
Also, it would be a good idea to install the Geochat plugin for
josm<br>
and login to it as well as right clicking on the Geochat text box
and<br>
clicking 'show users on map'. This will let you see other Geochat<br>
users in the same area. If all the people who work on this task
use<br>
that setup the risk of conflicts is basically 0. And finally, I
am on<br>
mumble if you have any questions about the setup of what to do.
It<br>
would be cool to have a room of people working on this together so
you<br>
can all share tips on there.<br>
<br>
Anyway, thanks for all the help so far and let's keep going on
this<br>
new stuff as well. If you plan to work on this, please just post
a<br>
short message to the list here when you start so I can get a sense
of<br>
how many people end up doing this. It is a bit tricky to set up,
but<br>
is a really fun thing to work on once you have it all set up.<br>
<br>
-AndrewBuck<br>
</blockquote>
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