Re: [HOT] Guinea Ebola Outbreak, Mapping the broader area
Dear All,
The Landsat-8 mosaics have been extended again, to 35 images, towards
the South and East, and now cover all of Guinée, Sierra Leone, Liberia,
western part of Côte d'Ivoire, to the city of Bobo-Dioulasso in
Burkina-Faso (Fofana ;) - unrelated to Ebola outbreak.
For ease of use, the URL are still unchanged. You may need to refresh
your cache to view the new version.
Reminder:
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}
Best wishes,
Jean-Guilhem
Le 29/03/2014 00:56, Jean-Guilhem Cailton a écrit :
Dear All,
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).
The URL are unchanged. You may need to refresh your cache to view the
new version.
Best wishes,
Jean-Guilhem
Le 28/03/2014 15:14, Andrew Buck a écrit :
Hello again everyone,
The task manager jobs for all of the main cities are coming along very
nicely. I have been amazed at how quickly the community responded to
these jobs.
In addition to the jobs in the cities, there is also some mapping that
needs to be done over a wider area for context. In order to help
understand, model, and predict the spread of the disease it is useful
to have population data for all of the villages and also road networks
to help understand where infected people who travel might have
traveled through. We can help with both of these issues using the
combination of what high resolution imagery we have (Bing, Pleiades,
Orbview, etc), as well as some very recent LandSat 8 imagery over the
entire affected area in 2 different color combinations. These Landsat
layers were put online by JGC and show natural color in the 432
image and a traditional false color image in the 753 layer listed
below. Both of these image layers were taken at the exact same time,
however the 753 layer shows the area in 3 different infra-red colors.
By using these two layers together it is possible to tell apart
objects that are the same color (like a village with brown roofs, vs a
brown field). In these images villages will appear brown in the 432
layer and bright pink in the 753 layer.
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.
Hopefully we can get maybe 5 to 10 people working on this over the
whole area we have Landsat for. I don't think it is worth creating
such a huge job on the task manager for this since it is such a broad
area. Just try to upload (and update) once every 1/2 hour or so.
Also, it would be a good idea to install the Geochat plugin for josm
and login to it as well as right clicking on the Geochat text box and
clicking 'show users on map'. This will let you see other Geochat
users in the same area. If all the people who work on this task use
that setup the risk of conflicts is basically 0. And finally, I am on
mumble if you have any questions about the setup of what to do. It
would be cool to have a room of people working on this together so you
can all share tips on there.
Anyway, thanks for all the help so far and let's keep going on this
new stuff as well. If you plan to work on this, please just post a
short message to the list here when you start so I can get a sense of
how many people end up doing this. It is a bit tricky to set up, but
is a really fun thing to work on once you have it all set up.
-AndrewBuck
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Re: [HOT] Guinea Ebola Outbreak, Mapping the broader area
Merci bien Jean-Guilhem pour ce travail. J'ai longtemps attendu ces images
pour enfin voir ce que mon équipe et moi, peuvent y faire en matière de
cartographie. Super, super. J'espère vraiment que l'on pourra se voir
physiquement ou discuter un jour sur mumble ou skype.
fantastiques
2014-04-06 15:13 GMT+00:00 Jean-Guilhem Cailton j...@arkemie.com:
Dear All,
The Landsat-8 mosaics have been extended again, to 35 images, towards the
South and East, and now cover all of Guinée, Sierra Leone, Liberia, western
part of Côte d'Ivoire, to the city of Bobo-Dioulasso in Burkina-Faso
(Fofana ;) - unrelated to Ebola outbreak.
For ease of use, the URL are still unchanged. You may need to refresh your
cache to view the new version.
Reminder:
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}
Best wishes,
Jean-Guilhem
Le 29/03/2014 00:56, Jean-Guilhem Cailton a écrit :
Dear All,
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).
The URL are unchanged. You may need to refresh your cache to view the new
version.
Best wishes,
Jean-Guilhem
Le 28/03/2014 15:14, Andrew Buck a écrit :
Hello again everyone,
The task manager jobs for all of the main cities are coming along very
nicely. I have been amazed at how quickly the community responded to
these jobs.
In addition to the jobs in the cities, there is also some mapping that
needs to be done over a wider area for context. In order to help
understand, model, and predict the spread of the disease it is useful
to have population data for all of the villages and also road networks
to help understand where infected people who travel might have
traveled through. We can help with both of these issues using the
combination of what high resolution imagery we have (Bing, Pleiades,
Orbview, etc), as well as some very recent LandSat 8 imagery over the
entire affected area in 2 different color combinations. These Landsat
layers were put online by JGC and show natural color in the 432
image and a traditional false color image in the 753 layer listed
below. Both of these image layers were taken at the exact same time,
however the 753 layer shows the area in 3 different infra-red colors.
By using these two layers together it is possible to tell apart
objects that are the same color (like a village with brown roofs, vs a
brown field). In these images villages will appear brown in the 432
layer and bright pink in the 753 layer.
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.
Hopefully we can get maybe 5 to 10 people working on this over the
whole area we have Landsat for. I don't think it is worth creating
such a huge job on the task manager for this since it is such a broad
area. Just try to upload (and update) once every 1/2 hour or so.
Also, it would be a good idea to install the Geochat plugin for josm
and login to it as well as right clicking on the Geochat text box and
clicking 'show users on map'. This will let you see other Geochat
users in the same area. If all the people who work on this task use
that setup the risk of conflicts is basically 0. And finally, I am on
mumble if you have any questions about the setup of what to do. It
would be cool to have a room of people working on this together so you
can all share tips on there.
Anyway, thanks for all the help so far and let's keep going on this
new stuff as well. If you plan to work on this, please just post a
short message to the list here when you start so I can get a sense of
how many people end up doing this. It is a bit tricky to set up, but
is a really fun thing to work on once you have it all set up.
-AndrewBuck
--
Fofana Bagnoumana Bazo
Etudiant en Master II (Géographie, Gestion des Ressources Naturelles)
A l'université de Ouagadougou
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Re: [HOT] Guinea Ebola Outbreak, Mapping the broader area
Thanks Jean-Guilhem for making possible the extension of OSM-usable Landsat
8 imagery to the whole Guinea and Sierra Leone for this crisis response at
the same two URLs :
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}
Merci à Jean-Guilhem pour avoir rendu possible la mise à disposition des
images Landsat 8 sur une zone maintenant étendue à toute la Guinée Conakry
et le Sierra Léone dans le cadre de cette réponse de crise.
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}
++
Nico
On Sat, Mar 29, 2014 at 12:56 AM, Jean-Guilhem Cailton j...@arkemie.comwrote:
Dear All,
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).
The URL are unchanged. You may need to refresh your cache to view the new
version.
Best wishes,
Jean-Guilhem
Le 28/03/2014 15:14, Andrew Buck a écrit :
Hello again everyone,
The task manager jobs for all of the main cities are coming along very
nicely. I have been amazed at how quickly the community responded to
these jobs.
In addition to the jobs in the cities, there is also some mapping that
needs to be done over a wider area for context. In order to help
understand, model, and predict the spread of the disease it is useful
to have population data for all of the villages and also road networks
to help understand where infected people who travel might have
traveled through. We can help with both of these issues using the
combination of what high resolution imagery we have (Bing, Pleiades,
Orbview, etc), as well as some very recent LandSat 8 imagery over the
entire affected area in 2 different color combinations. These Landsat
layers were put online by JGC and show natural color in the 432
image and a traditional false color image in the 753 layer listed
below. Both of these image layers were taken at the exact same time,
however the 753 layer shows the area in 3 different infra-red colors.
By using these two layers together it is possible to tell apart
objects that are the same color (like a village with brown roofs, vs a
brown field). In these images villages will appear brown in the 432
layer and bright pink in the 753 layer.
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.
Hopefully we can get maybe 5 to 10 people working on this over the
whole area we have Landsat for. I don't think it is worth creating
such a huge job on the task manager for this since it is such a broad
area. Just try to upload (and update) once every 1/2 hour or so.
Also, it would be a good idea to install the Geochat plugin for josm
and login to it as well as right clicking on the Geochat text box and
clicking 'show users on map'. This will let you see other Geochat
users in the same area. If all the people who work on this task use
that setup the risk of conflicts is basically 0. And finally, I am on
mumble if you have any questions about the setup of what to do. It
would be cool to have a room of people working on this together so you
can all share tips on there.
Anyway, thanks for all the help so far and let's keep going on this
new stuff as well. If you plan to work on this, please just post a
short message to the list here when you start so I can get a sense of
how many people end up doing this. It is a bit tricky to set up, but
is a really fun thing to work on once you have it all set up.
-AndrewBuck
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--
Nicolas Chavent
Humanitarian OpenStreetMap Team
http://hot.openstreetmap.org/
Mobile (FRA): +33 (0)6 52 40 78 20
Email: nicolas.chav...@hotosm.org
Email: nicolas.chav...@gmail.com
Skype: c_nicolas
Twitter: nicolas_chavent
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[HOT] Guinea Ebola Outbreak, Mapping the broader area
-BEGIN PGP SIGNED MESSAGE-
Hash: SHA1
Hello again everyone,
The task manager jobs for all of the main cities are coming along very
nicely. I have been amazed at how quickly the community responded to
these jobs.
In addition to the jobs in the cities, there is also some mapping that
needs to be done over a wider area for context. In order to help
understand, model, and predict the spread of the disease it is useful
to have population data for all of the villages and also road networks
to help understand where infected people who travel might have
traveled through. We can help with both of these issues using the
combination of what high resolution imagery we have (Bing, Pleiades,
Orbview, etc), as well as some very recent LandSat 8 imagery over the
entire affected area in 2 different color combinations. These Landsat
layers were put online by JGC and show natural color in the 432
image and a traditional false color image in the 753 layer listed
below. Both of these image layers were taken at the exact same time,
however the 753 layer shows the area in 3 different infra-red colors.
By using these two layers together it is possible to tell apart
objects that are the same color (like a village with brown roofs, vs a
brown field). In these images villages will appear brown in the 432
layer and bright pink in the 753 layer.
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.
Hopefully we can get maybe 5 to 10 people working on this over the
whole area we have Landsat for. I don't think it is worth creating
such a huge job on the task manager for this since it is such a broad
area. Just try to upload (and update) once every 1/2 hour or so.
Also, it would be a good idea to install the Geochat plugin for josm
and login to it as well as right clicking on the Geochat text box and
clicking 'show users on map'. This will let you see other Geochat
users in the same area. If all the people who work on this task use
that setup the risk of conflicts is basically 0. And finally, I am on
mumble if you have any questions about the setup of what to do. It
would be cool to have a room of people working on this together so you
can all share tips on there.
Anyway, thanks for all the help so far and let's keep going on this
new stuff as well. If you plan to work on this, please just post a
short message to the list here when you start so I can get a sense of
how many people end up doing this. It is a bit tricky to set up, but
is a really fun thing to work on once you have it all set up.
- -AndrewBuck
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Re: [HOT] Guinea Ebola Outbreak, Mapping the broader area
Dear All,
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).
The URL are unchanged. You may need to refresh your cache to view the
new version.
Best wishes,
Jean-Guilhem
Le 28/03/2014 15:14, Andrew Buck a écrit :
Hello again everyone,
The task manager jobs for all of the main cities are coming along very
nicely. I have been amazed at how quickly the community responded to
these jobs.
In addition to the jobs in the cities, there is also some mapping that
needs to be done over a wider area for context. In order to help
understand, model, and predict the spread of the disease it is useful
to have population data for all of the villages and also road networks
to help understand where infected people who travel might have
traveled through. We can help with both of these issues using the
combination of what high resolution imagery we have (Bing, Pleiades,
Orbview, etc), as well as some very recent LandSat 8 imagery over the
entire affected area in 2 different color combinations. These Landsat
layers were put online by JGC and show natural color in the 432
image and a traditional false color image in the 753 layer listed
below. Both of these image layers were taken at the exact same time,
however the 753 layer shows the area in 3 different infra-red colors.
By using these two layers together it is possible to tell apart
objects that are the same color (like a village with brown roofs, vs a
brown field). In these images villages will appear brown in the 432
layer and bright pink in the 753 layer.
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.
Hopefully we can get maybe 5 to 10 people working on this over the
whole area we have Landsat for. I don't think it is worth creating
such a huge job on the task manager for this since it is such a broad
area. Just try to upload (and update) once every 1/2 hour or so.
Also, it would be a good idea to install the Geochat plugin for josm
and login to it as well as right clicking on the Geochat text box and
clicking 'show users on map'. This will let you see other Geochat
users in the same area. If all the people who work on this task use
that setup the risk of conflicts is basically 0. And finally, I am on
mumble if you have any questions about the setup of what to do. It
would be cool to have a room of people working on this together so you
can all share tips on there.
Anyway, thanks for all the help so far and let's keep going on this
new stuff as well. If you plan to work on this, please just post a
short message to the list here when you start so I can get a sense of
how many people end up doing this. It is a bit tricky to set up, but
is a really fun thing to work on once you have it all set up.
-AndrewBuck
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